Abstract

The enhancement of ubiquitous and pervasive computing brings new perspectives in medical rehabilitation. In that sense, the present study proposes a smart, web-based platform to promote the reeducation of patients after hip replacement surgery. This project focuses on two fundamental aspects in the development of a suitable tele-rehabilitation application, which are: (i) being based on an affordable technology, and (ii) providing the patients with a real-time assessment of the correctness of their movements. A probabilistic approach based on the development and training of ten Hidden Markov Models (HMMs) is used to discriminate in real time the main faults in the execution of the therapeutic exercises. Two experiments are designed to evaluate the precision of the algorithm for classifying movements performed in the laboratory and clinical settings, respectively. A comparative analysis of the data shows that the models are as reliable as the physiotherapists to discriminate and identify the motion errors. The results are discussed in terms of the required setup for a successful application in the field and further implementations to improve the accuracy and usability of the system.

Highlights

  • A current trend in rehabilitation medicine is the concept of a remote therapy system [1,2]. This concept consists of enabling patients to carry out part of the rehabilitation at home and to communicate through the Internet the evolution of the recovery process. The implementation of such a technology is justified by medical, economic, mobility and ethics purposes [3,4]

  • Our approach is based on the Hidden Markov Model, which is a probabilistic model that can be applied for time series analyses, such as gestures

  • To evaluate in real time the quality of the movement performed by the patient, an artificia probabilities include all probabilities changing from oneahidden (i) to is generated sequence is generated by a trained trained

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Summary

Introduction

A current trend in rehabilitation medicine is the concept of a remote therapy system [1,2] This concept consists of enabling patients to carry out part of the rehabilitation at home and to communicate through the Internet the evolution of the recovery process. The present study exposes a web-based platform for physical tele-rehabilitation for patients after hip arthroplasty surgery. This orthopedic procedure is an excellent case study, because it involves people that are limited in their mobility and who need a postoperative functional rehabilitation. (ii) the required setup for a reliable classification of the movements in real conditions; and (iii) a user-friendly application to enable the therapists to generate assessment models on any kind of new exercises

Related Work
Global Architecture
Client Side
Web Socket
Users Interface
Patient Interface
Physiotherapist Interface
Database Modelling
Exercise Database
Hidden Markov Approach
Questionnaire
Trellis diagram
Feature
Feature Representation theand depth
Trained HMMs
Experiment 1
Setup and Protocol
Models Training
Results
Experiment 2
Conditioning
Classification
Error Analyses
Discussion
Full Text
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