Lebleu, J.; Daniels, K.; Pauwels, A.; Dekimpe, L.; Mapinduzi, J.; Poilvache, H.; Bonnechère, B. Incorporating Wearable Technology for Enhanced Rehabilitation Monitoring after Hip and Knee Replacement. Sensors2024, 24, 1163.
Lebleu, J.; Daniels, K.; Pauwels, A.; Dekimpe, L.; Mapinduzi, J.; Poilvache, H.; Bonnechère, B. Incorporating Wearable Technology for Enhanced Rehabilitation Monitoring after Hip and Knee Replacement. Sensors 2024, 24, 1163.
Lebleu, J.; Daniels, K.; Pauwels, A.; Dekimpe, L.; Mapinduzi, J.; Poilvache, H.; Bonnechère, B. Incorporating Wearable Technology for Enhanced Rehabilitation Monitoring after Hip and Knee Replacement. Sensors2024, 24, 1163.
Lebleu, J.; Daniels, K.; Pauwels, A.; Dekimpe, L.; Mapinduzi, J.; Poilvache, H.; Bonnechère, B. Incorporating Wearable Technology for Enhanced Rehabilitation Monitoring after Hip and Knee Replacement. Sensors 2024, 24, 1163.
Abstract
Osteoarthritis (OA) poses a growing challenge for the aging population, especially in hip and knee joints, contributing significantly to disability and societal costs. Conventional clinical evaluations, typically performed in controlled settings, face difficulties in capturing the dynamic characteristics of rehabilitation and functioning in real-life scenarios. The study assessed the use of automated unsupervised evaluations in the rehabilitation process for patients after hip and knee replacements. We analyzed data from 1144 individuals who used a digital application after surgery, activity data were collected using the Garmin Vivofit 4. Several parameters such as the Peak 6-Minute Consecutive Cadence (P6MC) and Peak 1-Minute Cadence (P1M) were computed and analyzed on a daily basis. The results indicated that cadence measurements, specifically, can effectively differ among individuals with hip and knee conditions as well as the recovery process. Moreover, these metrics demonstrated a high level of responsiveness in monitoring the progress of recovery, surpassing the effectiveness of simply measuring the total number of steps taken. The study highlighted the capacity of technology-driven, patient-centered rehabilitation to improve accuracy, tailor therapy to individual patients, and increased patient involvement. This research also highlighted the significance of automated, unsupervised assessments in enhancing rehabilitation results for OA patients following hip and knee replacement, as tele-rehabilitation becomes increasingly important.
Keywords
Wearable sensors; activity tracker; mHealth; osteoarthritis; rehabilomics; rehabilitation; personalized care
Subject
Medicine and Pharmacology, Orthopedics and Sports Medicine
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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