Abstract

Rehabilitation is the process of treating post-stroke consequences. Impaired limbs are considered the common outcomes of stroke, which require a professional therapist to rehabilitate the impaired limbs and restore fully or partially its function. Due to the shortage in the number of therapists and other considerations, researchers have been working on developing robots that have the ability to perform the rehabilitation process. During the last two decades, different robots were invented to help in rehabilitation procedures. This paper explains the types of rehabilitation treatments and robot classifications. In addition, a few examples of well-known rehabilitation robots will be explained in terms of their efficiency and controlling mechanisms.

Highlights

  • Stroke is considered one of the leading causes of death; it comes in the third place after heart disease and cancer [1]

  • This paper focuses on after-stroke rehabilitation and upper limb rehabilitation robots

  • The Genetic algorithm (GA) algorithm uses the root mean square (RMS) as a controlling feature, where the best output solution “which is usually named as a chromosome” is the output that minimizes the RMS between the torque estimated by the EMG signal and the torque estimated by the model [67]

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Summary

Introduction

Stroke is considered one of the leading causes of death; it comes in the third place after heart disease and cancer [1]. It has been reported that up to 30% of stroke patients suffer from permanent disabilities and up to 20% require intensive rehabilitation programs [2]. Rehabilitation programs require one-on-one interactions between the therapist and the patient. Interactive rehabilitation is a time-consuming and labor-intensive for both the therapist and the patient [2]. These facts pushed researchers to invent rehabilitation robots that can be used as assistive devices for therapists. This paper focuses on after-stroke rehabilitation and upper limb rehabilitation robots. A discussion and a conclusion are given in Sections 6 and 7, respectively

Rehabilitation Treatments
Active Therapy
Rehabilitation Robots and Their Classifications
According to the Robot Structures
Examples of Rehabilitation Robots
MIT-MANUS
L-EXOS
REHAROB
EMG-Driven Exoskeleton Robots
Hand Exoskeleton
Exoskeleton Based on the Neuro-Fuzzy Control Method
SUEFUL-7 Exoskeleton Based on the Muscle-Model-Oriented Control Method
NEUROExos Based on the Proportional Control Method
Exoskeleton Robots Based on the Artificial Neural Network Control Method
Arm Exoskeleton Employs a Genetic Algorithm as a Control Method
Results and Discussion
Conclusions
Full Text
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