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Design, Simulation and Functional Testing of a Novel Ankle Ex-oskeleton with 3DOFs

A peer-reviewed version of this preprint was published in:
Sensors 2024, 24(19), 6160. https://doi.org/10.3390/s24196160

Submitted:

12 August 2024

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13 August 2024

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Abstract
This paper presents a study on developing of a new exoskeleton for ankle joint rehabilitation with three degrees of freedom (3 DOFs). The primary attention is paid to the process of designing and modelling the device aimed at restoring the lost functions of joint mobility. The authors carried out a complex analysis of the functional requirements of the exoskeleton based on the research of potential user’s needs, which allowed them to develop a conceptual model of the proposed de-vice. In this study, a prototype of the exoskeleton is designed using modern additive technolo-gies. A prototype of the proposed device underwent virtual testing in conditions maximally close to the real one, which confirmed its effectiveness and comfort of use. The main results of the work indicate the promising potential of the proposed solution for application in rehabilitation practice, especially for patients with ankle joint injuries and diseases.
Keywords: 
;  ;  ;  
Subject: 
Engineering  -   Bioengineering

1. Introduction

The musculoskeletal apparatus includes bones, joints, ligaments, muscles and their nerve formations. The entire combination forms a single system, which together provides mechanical protection for the internal organs of a person and also performs support tasks, providing the ability to move. Any disruption or damage to any part of this system can have serious negative consequences. These include more than 150 different types of diseases and conditions, such as injuries to bones, fractures, and joints, including sprains or tears of ligaments and muscles, including damage to nerve bundles, resulting in temporary or lifelong limitations in function and movement in everyday life [1]. In this case, rehabilitation and medical care Are instrumental in restoring musculoskeletal function after injuries and chronic diseases. These measures help to regain and improve the ability to move and maintain the person's overall quality of life.
Rehabilitation, as an essential health service, plays a crucial role in achieving universal health coverage in any country. According to the World Health Organization, about 2.4 billion people worldwide are currently living with health problems that can be improved through rehabilitation [2]. Of these, about 1.71 billion people suffer from musculoskeletal disorders, among which 86 million people need rehabilitation process in the aftermath of a stroke. Given the changes occurring in the health status and characteristics of the population worldwide, the estimated need for rehabilitation will only increase in the coming years [3], which emphasizes the importance of research in the development and implementation of the latest rehabilitation technologies and techniques to improve the quality of life and health of the population.
One of the key areas of development in this field is the creation of a wide range of devices used in medical practice in rehabilitation, from simple instruments to complex life support systems and surgical robots. These innovations help to combat various musculoskeletal conditions, which ultimately improves diagnosis and treatment processes, as well as speeding up the recovery process, which facilitates more efficient interaction between patients and doctors.
The impact of such devices on improving the quality of life and health of the population is invaluable. They are widely used in various fields of medicine and health care, such as orthopaedics and traumatology, neurology and neurorehabilitation, physiotherapy and sports medicine, as well as cardiology and respiratory therapy. These devices have many advantages. They help to accelerate the recovery process, improve the functional capabilities of the body, reduce the risk of complications after illness or injury, and increase patients' motivation for rehabilitation [4]. In addition, these devices allow the development of individualized recovery programs tailored to the characteristics and needs of each specific patient. This contributes to the best results and effective treatment, helping patients to return to a full life and become more independent and active in their daily activities.
Despite these advantages, the rehabilitation of the musculoskeletal system currently faces many challenges due to the cost of development technology, lack of resources, including the lack of assistive technology, equipment and devices, including consumables, as well as the need for additional research and data collection on the rehabilitation process [5]. Given the importance and significance of the rehabilitation process in patients today, in most cases, the rehabilitation process is realized mainly manually by physicians. This approach faces problems such as high labour intensity, dependence on physician experience, difficulty in accurately controlling exercise parameters and evaluating the effects of rehabilitation, which raises the urgency of research in the creation of accessible modern technologies and atomized rehabilitation systems and devices that provide more accurate control of exercise parameters and allow the collection of data on their effectiveness, which can lead to more personalized treatment plans.
Introducing such innovations into rehabilitation requires a comprehensive approach, including training specialists, integrating new technologies into clinical practice, and continuously monitoring results. This will ultimately reduce the risk of errors and increase patients' motivation to return to a whole life quickly. This process can be an essential step towards more effective and affordable rehabilitation methods and offer patients increasingly effective and convenient solutions.
The development and production of rehabilitation devices is a complex and multi-stage process involving many aspects, starting with research, design and prototype development, followed by virtual and practical testing to identify possible problems and deficiencies. Compliance with all standards and regulations set in the medical device field is also an essential part of the process. In addition, it is necessary to consider the specifics of using the device for medical purposes, such as the possibility of prolonged contact with the human body, to maximize the safety and reliability of the device [6]. Among such devices, robotic exoskeletons have been widely used to help patients after strokes, brain injuries, spinal cord injuries, and for patients with muscle or joint diseases. They are also effective in rehabilitating patients with various ankle injuries. These devices aim to improve movement coordination, strengthen muscles, increase joint mobility and improve balance. [7].
Due to the high activity of daily life, the ankle joint becomes one of the most vulnerable joints of the human musculoskeletal system, which is characterized by a complex structure, significant load and flexibility of movement, playing an integral role in daily life. In addition, diseases such as stroke and spinal cord injuries can cause muscle weakness, spasticity, poor control of ankle joint movements or even deformity [8], which displays the significance of research in the field of creating devices for human lower extremity rehabilitation.
Today, researchers worldwide are developing various types of rehabilitation devices using a wide range of methods and solutions, which raises the demand for creating new, innovative and affordable types of rehabilitation devices. Exoskeletons are emerging as an innovative lower limb solution to improve function in people with lower limb injuries. These devices are vital in restoring lost function after musculoskeletal diseases and injuries. Therefore, this research paper discusses the development of a new exoskeleton for ankle rehabilitation from a design and modelling perspective. This development will be capable of restoring the lost mobility functions of the ankle joint. The process of creating accessible exoskeletons for ankle rehabilitation represents a significant step forward in biomedical engineering and involves several key aspects, as reviewed by the authors in this research. In the first phase of the research to determine the basic functional requirements for an exoskeleton, the research first conducted a thorough investigation of the needs of potential users, including an analysis of their lifestyle, types of ankle injuries and diseases, and the impact of such devices on the current health status of the rehabilitated patient in a human-machine interaction environment. The next stage involves conceptual design, where the initial concept of the exoskeleton is developed. This includes selecting key components such as power transmission mechanisms, control systems, and sensors to monitor joint position and load. It is also important to consider the device's aesthetics and usability during rehabilitation. The final stage involves developing and virtual testing an ankle exoskeleton prototype. The prototype is developed and tested virtually in conditions as close to real life as possible to assess its effectiveness, reliability, and comfort of use. By realizing all the above stages, the study's authors created an accessible, inexpensive exoskeleton prototype with three degrees of freedom, which will become an effective means of rehabilitation for patients with various injuries and traumas of the ankle joint. Widespread use of such devices in clinical practice opens vast opportunities for restoring patient motor function. They allow for improvement in the quality of life of rehabilitated patients, increasing the level of independence and mobility and making the rehabilitation process more effective and personalized.
The main feature of the proposed rehabilitation exoskeleton is the presence of three degrees of freedom, which allows the effective control of the movement of the ankle joint in all its possible states. This allows the device to mimic the natural movements of the ankle joint, creating a smoother and more natural walking experience for the patient, which speeds up the rehabilitation process. Such an exoskeleton may be helpful to patients in chronic disease management processes and rehabilitation processes following ankle injuries such as fractures or ligament changes. This perspective device can be applied to support people with difficulty walking due to age-related changes in their bindings.

3. Materials and Methods

This section elucidates the methodology employed in the development of the proposed and rehabilitation device, adhering to pertinent methodologies. Initially, it was imperative to ascertain the requisite movement criteria through an examination of the biomechanics of the human ankle joint, with particular emphasis on its mobility facets. After this, a device was introduced encompassing three degrees of freedom and outlining the structure of the control system. This phase culminated in the simulation of the performance characteristics of the exoskeleton, followed by a comprehensive discussion of the obtained results.

3.1. Anatomy of the Ankle Joint

The ankle joint complex, far from being a mere hinge joint, exhibits a sophisticated arrangement of multi-axial motions that work synergistically to support the intricacies of human locomotion. This complexity stems from a comprehensive understanding of the anatomical structure and kinematics of the human foot [44]. Comprising multiple interlocking joints, the human ankle is char acterized by the positioning of the talus bone at its core, flanked by the cuboid and navicular bones. The superior facet of the talus interfaces intricately with the tibia and fibula, delineating the upper ankle joint (UAJ). Through the UAJ, the ankle facilitates pivotal movements such as plantarflexion and rotational dorsiflexion, crucial for various activities ranging from walking to running [45].
The rotational capacity of the ankle joint is further enriched by the interplay of the forefoot bones, where interconnected articulations permit nuanced inversion and eversion rotations. This intricate arrangement ensures the adaptability of the ankle joint to dynamic changes in terrain and movement requirements [46].
Figure 1 serves as a visual aid, elucidating the complex interplay of these movements within the ankle joint.
The extensive body of literature dedicated to exploring ankle-foot anatomy [47] underscores the significance of comprehending the underlying structural and functional nuances. This knowledge base serves as a cornerstone for subsequent research endeavours to elucidate the intricate mechanisms governing ankle-foot movements and inform the development of robotic exoskeletons.
The complexity of rehabilitation is further compounded by the incorporation of anthropometric data pertaining to leg length and weight, which informs the design of the exoskeleton to ensure optimal fit and functionality. Prior to the manufacturing phase, meticulous calculations based on anthropometric measurements are undertaken to ascertain the precise length and weight of the foot, as delineated in Table 1.
In pursuit of creating robotic exoskeletons that accurately replicate natural ankle movements, a diverse array of studies [48,49,50,51,52,53] has been conducted. These studies delve into the biomechanical principles governing ankle kinematics, paving the way for innovative designs that enhance mobility and rehabilitation outcomes for individuals with impaired ankle function.

3.2. The Proposed Device

Rehabilitation devices, by virtue of their intimate interface with the human body, necessitate adherence to stringent design criteria. Since the ankle joint and foot function around a fixed axis, the mechanical structure of these devices must be precisely designed to replicate the anatomical contours of the human body. This design necessity allows the device to accommodate patients of different heights, weights, and ages, making the rehabilitation process more adaptable and effective.
Beyond considerations of safety and comfort, paramount importance is accorded to factors such as the normal range of motion and operational speed when interfacing with a patient undergoing rehabilitation. These parameters serve as crucial benchmarks in the design and implementation of rehabilitation devices, ensuring their efficacy and alignment with therapeutic objectives.
Figure 2 shows a CAD design indicating attachment points A, B, C, D for the linear actuators S1 and S2, with point H as the center point of the foot platform. Connections E and F on the support link the ball joint, serving as the guide between the shank and the foot platform. The calculated parameters of the CAD solution (Figure 2) are shown in Table 2.
These mechanisms feature three actuators in each kinematic chain, enabling two translational and one rotational movement.
To calculate the degrees of freedom, P.L. Chebyshev's structural formula for planar mechanisms is employed:
W = 3 × n 1 2 × p 5 p 4 ,
where W is the degree of freedom; n is the number of links; p 5 number of fifth-class couples (single movement couples) and p 4 number of pairs of the fourth class (two movable pairs).
The degrees of freedom for the planar mechanism can be determined using the Somov-Malyshev formula:
W = 6 × n 1 p 5 4 × p 4 3 × p 3 2 × p 2 p 1 ,
where p 3 , p 2 and p 1 are the is the number of kinematic pairs of the class with (6− i) degrees of mobility (i = 1, …, 5).
Based on the kinematics of the connections in the design of the exoskeleton (shown in Figure 3), the articulation angles of the joints can be described as follows:
The relative motion of the platform attached to the foot compared to the platform attached to the calf can be expressed as
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where φ is the dorsiflexion/plantarflexion, θ is the inversion/eversion, and α is the abduction/adduction.
When examining relative motion, it is important to consider the following three aspects: (a) ensuring constant tension in all actuators, (b) utilizing spherical hinges at the attachment points of the actuators to the platform, and (c) treating the actuators as prismatic joints with minimal axial deformation.
The points on which the drives on the platform attached to the ankle can be generically labelled A a i = a i x a i y a i z T , and the points on the platform attached to the foot can be labelled B a i = b i x b i y b T . Using the model in Figure 3, the vector equation of the node closure for each drive can be written as follows:
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Rehabilitation exercises require the execution of homogeneous, slow, and controlled movements so that the patient feels the least stress or pain. Since these exercises are performed at a limited speed, inertial effects and movement dynamics can be ignored in the analyses. Therefore, static analysis can be used to evaluate the effectiveness of the robot.
The voltage in each drive is defined as T i = T i p i as the product of the unit vector and its intensity, and the vector T here T 1 T 2 T 3 T 4 T :
P T T F R = F e x t ;
and
Q T T M R = M e x t ,
where P T = p 1 p 2 p 3 p 4 and Q T = b 1 × p 1 b 4 × p 4 .
As previously stated, due to the spherical nature of the kinematic representation of the ankle joint and the unrestricted range of rotational movement, the reaction moment M R   is a zero vector. Consequently, the complete equilibrium equation can be formulated accordingly:
P T I 3   Q T   0 3   T   F R   = F e x t   M e x t   ,
The challenge in robot operation can be characterized by solving for torque based on the movement of the ankle joint.
According to the conceptual model of the ankle exoskeleton design shown in Figure 3, the electric linear actuator should integrate a system that coordinates the movement of the two interconnected skeletons thereby moving the ankle along with the exoskeleton. When assessing relative motion, it is crucial to consider the following three conditions: (a) ensuring constant tension in all actuators, (b) utilizing spherical hinges at the attachment points of the actuators to the platform, and (c) treating the actuators as prismatic joints with minimal axial deformation.
Figure 3. Conceptual design of the ankle exoskeleton.
Figure 3. Conceptual design of the ankle exoskeleton.
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3.3. Performance Characteristics Simulation

A 3D modelling and simulation analysis was conducted within a virtual framework employing the SolidWorks Simulation software alongside the Motion Simulation adjunct. By applying an electric linear actuator input via SolidWorks Simulation, dynamic articulation of the ankle joint was achieved.
Furthermore, Figure 5 showcases the dorsal and plantar flexion movements of the ankle joint in a neutral position, providing a visual representation of simulated assisted movements facilitated by SolidWorks Simulation. Dorsal flexion exhibits a range of motion up to 20 degrees, with a simulated bending depicted in 15 degrees. On the other hand, plantar flexion demonstrates a range of motion spanning from 40 to 50 degrees, with a simulated bending capability of up to 20 degrees.
Figure 6 depicts a graph illustrating the relationship between angular acceleration and foot angle ( α ). The graphical representation delineates notable features of the acceleration profile. A prominent peak is observed at the upper extremity of the motion, reaching a magnitude of 240 deg/s². Similarly, another significant peak, measuring 150 deg/s², is discernible near the lower limit of the motion trajectory. These distinctive peaks signify critical instances of rapid angular acceleration within the system under investigation.
Figure 7 depicts the driving force applied by the linear actuators, with F1 representing the force from the actuator on the front side of the leg, and F2 indicating the force from the actuator on the back side of the leg. Computational analysis shows that both forces, F1 and F2, achieve a magnitude of 0.8 N.
Figure 8 illustrates the components of linear displacement of the platform. The graph shows peaks in all directions, with maximum values reaching 100 deg/s² for the X-component and less than 85 deg/s² for the other components
Figure 9 shows the path traced by point H, positioned at the center of the platform. The displacement of this point along the Z-axis is 25.5 mm, and along the Y-axis, it reaches 74.6 mm, corresponding to an angle of +/- 8 degrees.
Figure 9. The computed results of the simulated motion illustrated in Figure 4 are described in relation to the trajectory of point H on the foot platform.
Figure 9. The computed results of the simulated motion illustrated in Figure 4 are described in relation to the trajectory of point H on the foot platform.
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Figure 10. Snapshot depicting simulated assisted motions in abduction and adduction.
Figure 10. Snapshot depicting simulated assisted motions in abduction and adduction.
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Figure 11 illustrates the angular acceleration with respect to the angle. The highest acceleration value, peaking at 23 deg/s², occurs near the top position. Angular acceleration quantifies the rate of change in both the magnitude and direction of angular velocity as the ankle joint moves with the exoskeleton.
Figure 12 presents the computed outcomes regarding the components of the platform's center of gravity position. The displacement of this point along the Y-axis is measured as -1.23 mm. In this study, the center of gravity signifies the stability of equilibrium positions of bodies and continuous media under the influence of gravity. This concept is particularly relevant in the analysis of material resistance, where it is utilized in conjunction with the Vereshchagin rule.
The driving force depicted in Figure 13 represents an external force exerted on the system to sustain motion. It symbolizes the force generated by linear actuators to induce movement in the ankle joint, exhibiting a maximum value of 45 Newton and a minimum value of 25 Newton in the motion simulation. Understanding this force is essential for comprehending the dynamics and mechanics of the system under investigation.
Figure 14 shows the components of linear displacement of the linear actuators. The graph indicates that movements in all directions reach peaks, with maximum values of 30 deg/s² for the Y-component and less than 25 deg/s² for the other components.
Figure 15 illustrates translational motion, also known as object motion, wherein each point of the object follows a parallel trajectory along straight lines. This stands in contrast to rotational motion, where an object rotates around a fixed axis. In the depicted scenario, over a 2-second interval, the upper part demonstrates a displacement of 3.5 m/s2, while the lower part exhibits a displacement of 2.8 m/s2. Understanding translational motion is paramount in the context of an exoskeleton as it provides the foundation for analysing the spatial movement, velocity, and acceleration of objects within the system.
The provided illustrations depict the simulated motions of both inversion and eversion attained via SolidWorks Simulation. The range of motion for inversion spans from 14.5 to 22.0 degrees, reaching 12 degrees in the depicted simulation. For eversion, the movement ranges from 10.0 to 17.0 degrees, with a simulated bending capability of up to 12 degrees.
Figure 16. Snapshot illustrating simulated assisted motions in inversion and eversion.
Figure 16. Snapshot illustrating simulated assisted motions in inversion and eversion.
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Angular movements arise from changes in the angle between the bones that make up a joint, demonstrating the kinematic dynamics of the system. Figure 17 visually represents these angular movements. Within a 2-second interval, a torque of 45 Newton-seconds is observed, underscoring the dynamic forces involved in angular motion. Understanding such angular kinetics is fundamental in biomechanical analyses, offering insights into joint function and movement patterns.
Figure 18 presents the calculated outcomes of the platform's center of gravity components. The displacement of this point along the Z-axis measures 30 mm. In this study, the center of gravity signifies the stability of equilibrium positions for bodies and continuous media under the influence of gravity, particularly in applications such as material resistance where the Vereshchagin rule is applied.
The center of gravity (COG) of the human body represents a theoretical point where the force of gravity is considered to act. It is seen as the focal point around which the combined mass of the body is concentrated. However, due to the dynamic nature of human movement and variations in body proportions, the exact location of the center of gravity constantly shifts with changes in body position and limb arrangement.
The Euler angles depicted in Figure 19 elucidate a sequential amalgamation of passive rotations around the axes of a rotating coordinate system. This representation facilitates precise description and analysis of complex rotational movements, thereby enhancing our comprehension of dynamic systems and their behaviour.
Forward motion pertains to the displacement occurring along the orientation of an object or in alignment with the intended path of motion. This concept holds significance in biomechanics, where it delineates the progression of anatomical structures during locomotion. The accompanying Figure 20 illustrates that within a 2-second timeframe, a peak force of 35 Newtons is exerted, highlighting the biomechanical dynamics involved in ankle movement. Understanding such forces is instrumental in deciphering the intricacies of human locomotion and optimizing performance in various physical activities.

4. Results

4.1. Assembly of an Ankle Exoskeleton Prototype

The design results represent a novel approach to addressing mobility problems associated with ankle dysfunction by developing a prototype of a low-cost exoskeleton. The exoskeleton prototype is assembled to validate the developed concept in a practical application virtually. The primary and support structures of the exoskeleton prototype are fabricated using a Creality Ender-3 3D printer. The base of the ankle exoskeleton body is made of PLA, which contributes to the structural integrity and strength of the exoskeleton's outer shell. This is important because the prototype system must withstand the mechanical forces and loads generated by ankle joint movement while ensuring stable device performance during rehabilitation. When designing the exoskeleton body, ease of assembly was prioritized to provide comfort and convenience for clinicians and patients. Figure 21 shows the assembled prototype of the exoskeleton combining mechanical and electronic components. The weight of the prototype for each foot individually is 2.05 kg.
The prototype features specially placed attachment points that facilitate the smooth integration of various components, including actuators, sensors, and fastening mechanisms that secure the exoskeleton to the user's lower limb. Ergonomics plays a crucial role in the design of the body. Ergonomic considerations include reducing pressure points and optimizing fit and weight distribution to ensure user comfort. The appearance of the PLA exoskeleton body has been carefully designed to be aesthetically pleasing.
In its design, customization, durability, weight optimization, ergonomic considerations, safety features, and ease of assembly were prioritized. All these attributes combine to ensure the effectiveness, safety and comfort of the exoskeleton user in various rehabilitation and mobility applications. Table 3 summarizes the main device performance parameters used in the assembly of the exoskeleton prototype.

4.2. Solution for Control Design Unit

The control system of the robotic exoskeleton, driven by a linear electric actuator, incorporates position and power control units for the platform. This setup allows for generating the required torque for the robot's motion. Active training includes resistance mode and combination mode. In resistance mode, the motor applies resistance, necessitating extra effort from the user to move the platform. This mode also generates a counterforce to enhance joint strength. Conversely, in combination mode, the user's movement creates a torque opposing the applied force.
In contrast, passive assist mode relies solely on the motor for all leg movements on the platform, eliminating the need for user muscular activity. It encompasses voluntary and compulsory passive exercises, with the latter extending joint movement beyond the user's active range, necessitating motor assistance. This study focuses on the limited motion range within which the robot operates.
The sensor components in the system are divided into two primary groups. Control sensors, including IMU sensors, EMG sensors, and voltage sensors, deliver essential data such as angular position, platform position, real-time cable length, and voltage readings. Force sensors gauge user-applied force and discern intended platform manoeuvres. Additionally, a blood pressure transducer monitors ankle joint pressure, ensuring patient safety during rehabilitation.
The ankle exoskeleton's control scheme, depicted in the provided Figure 4. functions as follows:
Inputs to MCU (Microcontroller Unit): Received from various sources including a PC, Force-Sensitive Resistors (FSR), an EMG Sensor, and an IMU Sensor;
MCU Outputs: Processes inputs to control additional devices for enhanced functionality and a DC motor driver, which regulates a DC motor;
Ankle Joint Manipulation: The DC motor manipulates the ankle joint, enabling movement and support by the exoskeleton.
This flowchart illustrates the integration of hardware and software components to precisely control the ankle exoskeleton's movements, utilizing sensors for real-time feedback and adjustments to ensure safe and effective operation.
All the above-mentioned components of the prototype control system are interfaced with each other using an Arduino microcontroller, which serves as the central processor of the system. The Arduino receives signals from the sensors and converts them into commands for the actuators, which regulate the linear actuators. In addition, the microcontroller perform other functions such as data logging, processing sensor data, and communicating with other devices.

4.3. Experimental Study and Functional Tetting of the Prototype

Testing layout with main components of Ankle Exoskeleton shown in Figure 23 consists of a battery power supply (Power unit), ankle joint platform (exoskeletion prototype), drives, ball joint, microcontroller, drivers (Control unit system) and PC.
The control system unit, shown in Figure 24, consists of sensors that provide essential feedback to the control system, allowing it to adapt the signals applied to the electric linear actuators.
Actuonix linear actuators contain a built-in DC motor that can be controlled with the L298N driver. The L298N driver is used to control actuators as a direct current motor and contains two H-bridge channels, which allows you to control two motors simultaneously. The actuator receives a rated voltage of 12V, corresponding to its specification.
To ensure that the required specifications were met after the design and assembly of the exoskeleton prototype, functional testing of the device was performed to evaluate the performance of the four linear electric actuators. The results of the functional testing evaluated the exoskeleton prototype's functionality, usability and safety under various loads and conditions.
Modelling the dynamics of an ankle rehabilitation device considering three basic motions is a challenging task due to the nonlinear nature of the overall system; in this case, the main objective of the mechatronic system of the exoskeleton prototype is to control the devices based on simplified models, thus increasing their robustness to external influences. With this in mind, the separate dynamics required to maintain the basic movements of the ankle rehabilitation device were initially investigated. This is because, in passive rehabilitation, specific exercises are first performed to ensure stability and functionality of the ankle joint.
Figure 25 shows a device used for experimental functional testing of the ankle exoskeleton during movements in the dorsal and plantar flexion. The test evaluates the effectiveness of the exoskeleton and the operation of the actuators.
All dorsiflexion-plantarflexion movements are recorded by the IMU BMI160 sensor.
Figure 26 shows the translation motion of the foot platform during dorsiflexion–plantarflexion movements over time. The motion fluctuates between approximately -10 and 70 newton-seconds, indicating the force exerted in different directions. This periodic pattern repeats roughly every 14 seconds, reflecting the cyclical nature of these movements.
Figure 27 shows the angular displacement of the foot platform during dorsiflexion–plantarflexion movements over time. The displacement ranges from approximately 10 to -10 degrees, indicating the range of motion of the ankle joint. This periodic pattern reflects the regular cycle of these movements, which is important for understanding the dynamics of foot motion.
Figure 28 shows the angular acceleration of the foot platform during dorsiflexion plantar flexion movements over time. The angular acceleration ranges from approximately -1 to 9 deg/s2. This pattern repeats approximately every 2 seconds, indicating a regular cycle of movement.
Figure 29 shows the velocity of the foot platform during dorsiflexion movements. The velocity ranges from approximately 35 mm/sec to -5 mm/sec, indicating a periodicity of the movement. This pattern repeats approximately every 4 seconds, reflecting the cyclical nature of the foot platform velocity during these movements.
Figure 30 shows the reaction force of the S1 actuator during dorsiflexion plantar flexion movements over time. The force starts at 0 Newtons, peaks at about 20 Newtons at 2 seconds, returns to zero, then increases again to just over 50 Newtons at about 8 seconds before returning to 0. This indicates a change in the force exerted by the actuator during these movements.
This clearly demonstrates that the result values ​​are approaching the maximum actuator force value of 50 N.
In functional testing the actuators have current values of: S1 - 0.1 A and S2 - 0.06 A. This is due to the fact that the drives move the platform back and forth alternately, repeating the movements of the input and output as shown in Figure 31, where the current values are given in drives S1 and S2.
Actuonix, Miniature Linear Actuators L16 [53] used in exoskeleton has a compact and lightweight design, making it ideal for integration into exoskeleton without significant increase in volume or weight.
In this pilot study, the functional testing results demonstrate the ability of the exoskeleton prototype to generate controlled linear and angular movements with significant accelerations in a short period of time. This highlights its potential to improve mobility, stability and support during dynamic activities.
The functional testing results obtained during the experiment play a key role in improving the exoskeleton design and optimizing its real-world performance.

5. Conclusions

In this study, a virtual model of the proposed exoskeleton was developed and simulated in SolidWorks Motion&Simulation software. Additionally, a low-cost prototype of the exoskeleton for ankle rehabilitation was created and tested. The prototype represents an innovative approach to address mobility problems associated with ankle joint dysfunction. The study also focused on the complex anatomy and kinematics of the ankle joint, which was considered in developing a comprehensive computer-aided design system model that allows simulation analysis to evaluate the viability and performance of the prototype design. It has four linear electric actuators that provide three bare ankle joint movements: dorsal flexion and plantar flexion, adduction, abduction, and inversion, eversion. The presence of 3DOFs in the prototype has the ability to mimic ankle joint motion, allowing for a smoother and more natural walking motion. This helps to speed up the recovery process for patients with disabilities. The use of modern 3D printing technologies and the choice of available materials to assemble the exoskeleton prototype has increased its cost-effectiveness. This reduces initial production costs and facilitates maintenance and repair of the device during operation, an essential key factor for long-term operation and maintenance of its performance. The use of modern sensors and electronics allows the exoskeleton prototype to accurately track movements and adapt the functionality of the device to the needs of the user, which makes it attractive to a wide range of users.
The exoskeleton's control system, which includes positional and force control units, enables the generation of the required torque for the robot's movements. The use of sensors to monitor angular position and force ensures accurate and safe operation of the device. Once the design phase is complete, the prototype assembled to validate the concept in a practical environment. Future research will focus on conducting experimental studies to evaluate the functionality and performance of the exoskeleton in real-world conditions. This integrative approach to design and testing has the potential to significantly improve rehabilitation methods and the quality of life for people with ankle mobility impairments.
Future endeavors will focus on conducting experimental characterization studies, providing invaluable insights into the exoskeleton's functionality and performance under real-world conditions. This iterative approach, combining simulation-based design refinement with practical validation through prototyping, holds immense promise in the development of advanced assistive technologies.

Author Contributions

Conceptualization, G.S. and N.Zh.; methodology, N.Zh and G.T.; software, U.A.; validation, A.S., Y.N.; formal analysis, G.S.; investigation, G.T.; resources, N.Zh.; data curation, A.U.; writing—original draft preparation, G.S., G.T.; writing—review and editing, N.Zh.; visualization, Y.N. A.N.; supervision, G.S.; project administration, G.S.; funding acquisition, G.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministry of Science and Higher Education of the Republic of Kazakhstan, Grant № AP13268857.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Main foot rotations around the two axes of the ankle.
Figure 1. Main foot rotations around the two axes of the ankle.
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Figure 2. CAD model of the ankle exoskeleton components and their assembly in SolidWorks.
Figure 2. CAD model of the ankle exoskeleton components and their assembly in SolidWorks.
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Figure 5. A snapshot showcasing simulated assisted movements in dorsiflexion and plantarflexion.
Figure 5. A snapshot showcasing simulated assisted movements in dorsiflexion and plantarflexion.
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Figure 6. The computed results of the simulated motion portrayed in Figure 5 are presented in terms of the α angle of the foot platform.
Figure 6. The computed results of the simulated motion portrayed in Figure 5 are presented in terms of the α angle of the foot platform.
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Figure 7. The computed results of the simulated motion depicted in Figure 5 are expressed in terms of the driving force exerted by the linear actuators.
Figure 7. The computed results of the simulated motion depicted in Figure 5 are expressed in terms of the driving force exerted by the linear actuators.
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Figure 8. The input data for the simulated motion depicted in Figure 5 pertains to the displacement of linear actuators.
Figure 8. The input data for the simulated motion depicted in Figure 5 pertains to the displacement of linear actuators.
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Figure 11. The computed results of the simulated motion depicted in Figure 4 are expressed in terms of the angle of the foot platform.
Figure 11. The computed results of the simulated motion depicted in Figure 4 are expressed in terms of the angle of the foot platform.
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Figure 12. The input data for the simulated motion depicted in Figure 10 includes the center of gravity position.
Figure 12. The input data for the simulated motion depicted in Figure 10 includes the center of gravity position.
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Figure 13. The calculated results of the motion simulation, as shown in Figure 10, are presented in terms of the driving force.
Figure 13. The calculated results of the motion simulation, as shown in Figure 10, are presented in terms of the driving force.
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Figure 14. The computed results of the simulated motion depicted in Figure 10 are presented in terms of the displacement of linear actuators.
Figure 14. The computed results of the simulated motion depicted in Figure 10 are presented in terms of the displacement of linear actuators.
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Figure 15. The calculated results of the simulated motion depicted in Figure 10 are presented in terms of translational motion.
Figure 15. The calculated results of the simulated motion depicted in Figure 10 are presented in terms of translational motion.
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Figure 17. The results of motion modelling utilizing linear actuators are depicted in Figure 16, showcasing angular movements.
Figure 17. The results of motion modelling utilizing linear actuators are depicted in Figure 16, showcasing angular movements.
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Figure 18. Simulation results for the motion in Figure 16 by center of gravity.
Figure 18. Simulation results for the motion in Figure 16 by center of gravity.
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Figure 19. The input data for the simulated motion depicted in Figure 16 is expressed in terms of Euler angles.
Figure 19. The input data for the simulated motion depicted in Figure 16 is expressed in terms of Euler angles.
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Figure 20. Forward movement.
Figure 20. Forward movement.
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Figure 21. General view of the exoskeleton prototype.
Figure 21. General view of the exoskeleton prototype.
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Figure 22. A scheme for control design in ankle joint exoskeleton.
Figure 22. A scheme for control design in ankle joint exoskeleton.
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Figure 23. Testing layout with main components of Ankle Exoskeleton.
Figure 23. Testing layout with main components of Ankle Exoskeleton.
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Figure 24. The control system unit.
Figure 24. The control system unit.
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Figure 25. Experiment of functional testing of the ankle joint exoskeleton during linear motion in dorsiflexion and plantarflexion.
Figure 25. Experiment of functional testing of the ankle joint exoskeleton during linear motion in dorsiflexion and plantarflexion.
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Figure 26. The results of the Translation motion of the foot platform during dorsiflexion-plantarflexion movements are shown in Figure 25.
Figure 26. The results of the Translation motion of the foot platform during dorsiflexion-plantarflexion movements are shown in Figure 25.
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Figure 27. The results of the angular displacement of the foot platform during dorsiflexion-plantarflexion movements are shown in Figure 25.
Figure 27. The results of the angular displacement of the foot platform during dorsiflexion-plantarflexion movements are shown in Figure 25.
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Figure 28. Angular acceleration of the foot platform during dorsiflexion-plantarflexion movements is shown in Figure 25.
Figure 28. Angular acceleration of the foot platform during dorsiflexion-plantarflexion movements is shown in Figure 25.
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Figure 29. The speed of the foot platform during dorsiflexion-plantarflexion movements is shown in Figure 25.
Figure 29. The speed of the foot platform during dorsiflexion-plantarflexion movements is shown in Figure 25.
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Figure 30. Reaction Force of the actuator (S1) when moving the dorsiflexion–plantarflexion is shown in Figure 25.
Figure 30. Reaction Force of the actuator (S1) when moving the dorsiflexion–plantarflexion is shown in Figure 25.
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Figure 31. Current values in actuators S1 and S2 over time.
Figure 31. Current values in actuators S1 and S2 over time.
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Table 1. Normal human ROM.
Table 1. Normal human ROM.
Motion direction ROM (degree)
Dorsiflexion 20.3 – 29.8
Plantarflexion 37.6 – 45.8
Inversion 14.5 – 22.0
Eversion 10.0 – 17.0
Abduction 15.4 – 25.9
Adduction 22.0 – 36.0
Table 2. Design and operation parameters of a CAD solution in Figure 2.
Table 2. Design and operation parameters of a CAD solution in Figure 2.
Size SP (mm) FP (mm) S1 (mm) S2 (mm) S3 (mm) S4 (mm)
200 265 243 226 181 93
Table 3. Parameters of the main components of the prototype.
Table 3. Parameters of the main components of the prototype.
Component Commercial name Voltage Mass Max force/torque Speed
Arduino board Mega 2560 23 7–12 V 37 g
Linear actuator L16-100-63-12-P 19 12 V 74 g 100 N 20 mm/s
Servomotor MG996R 20 4.8–7.2 V 55 g 150 N-cm 461.5 deg/s
IMU BMI16025 3–5 V 2 g
Force sensor Sparkfun Resistive sensor 50 g
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