Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Rehabilitation Chair Design Based on Functional Technology Matrix and Multi-Level Evaluation Methods

Version 1 : Received: 23 September 2023 / Approved: 25 September 2023 / Online: 26 September 2023 (13:40:36 CEST)

A peer-reviewed article of this Preprint also exists.

Yang, X.; Zhang, Z. Development of a Rehabilitation Chair Design Based on a Functional Technology Matrix and Multilevel Evaluation Methods. Appl. Sci. 2023, 13, 11404. Yang, X.; Zhang, Z. Development of a Rehabilitation Chair Design Based on a Functional Technology Matrix and Multilevel Evaluation Methods. Appl. Sci. 2023, 13, 11404.

Abstract

In order to meet the diversified rehabilitation needs of people, it is necessary to design a product for active rehabilitation of patients. Existing rehabilitation chairs use intelligent massage, which can cause problems such as large massage area, inability to local massage, large chair size, and inability to meet the continuous use of the damaged parts. In this paper, modular design method and multi-layer evaluation method are used to solve the problems related to rehabilitation chairs. The authors use the questionnaire survey method and the functional technology matrix method to determine the functional requirements of the rehabilitation chair, and then use the multilevel evaluation methods, including the AHP method, entropy weight method main and grey correlation analysis, to optimize the functional solutions of the rehabilitation chair, and finally obtain a chair for the rehabilitation of patients with upper and lower limb disorders. Problems such as generalisation of rehabilitation scope and non-durable use of components were solved, and the purpose of active exercise was achieved. This study verifies that the use of multilevel decision evaluation method can effectively improve the efficiency of programme decision-making, and provides theoretical and practical basis for the design of similar products.

Keywords

product design; rehabilitation chair; AHP; entropy weighting; grey relational analysis

Subject

Public Health and Healthcare, Other

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