Quantitative evaluation of motor functional recovery process in chronic stroke patients during robot-assisted wrist training

Hu, Xiao; Tong, Kai-Yu; Song, Rong; Zheng, Xiujuan; Lui, Ka-him; Leung, Wallace Woon‐Fong; Ng, Stephanie; Au-Yeung, Stephanie S.Y.

doi:10.1016/j.jelekin.2008.04.002

Cited by 105 publications

(112 citation statements)

References 34 publications

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“…Two are placed on the biceps muscle while the third is placed on a bony part of the arm to serve as a reference or ground for our pickup circuit. The ideal location for the muscle electrodes is in the center of the muscle approximately 1cm apart [5,6]. The reference electrode is placed on the bony part underneath of the elbow below the joint apart.…”

Section: Velectrode Placementmentioning

confidence: 99%

Design and Development of Physiological Signal Acquisition System

Karuna¹,

Rao²

2014

IJAREEIE

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Hospitals need several measurement systems that can measure physiological parameters of the patient. Measurement systems should be able to measure accurately the vitals of patients like heart conditions, body temperature, electrical activity of the muscles etc. Approaching EMG is used to monitor the patient during the exercise and advise him to stop as he is the fatigue condition. During muscle activation, the signal is produced from small electrical currents generated by the exchange of ions across the muscle membranes using surface electrodes is amplified and recorded with instrument known as the EMG. The pc based signal acquisition is efficient and effective method for biomedical signal acquisition and monitoring. In this paper a simple and cost effective method for detecting voluntary muscle movement of human being is proposed .in this work .EMG signal is picked up from the hand biceps using simple computer interface and processed by MATLAB based filter algorithm for online clean display.

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Section: Velectrode Placementmentioning

confidence: 99%

Design and Development of Physiological Signal Acquisition System

Karuna¹,

Rao²

2014

IJAREEIE

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“…Moreover, muscle force is produced after a delay (30-60 ms) from the muscle activation [32,33] and the kinematic variables are even more delayed from the force, hindering spontaneous reaction of the robot in response to the motor intention. Because EMG can be derived from a specific target muscle and represents muscle activation with little delay, the EMG-driven robotic devices are developed to facilitate the interactive physical training of the elbow, wrist, and hand, which was shown to be effective [34][35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Electromyogram-controlled assistive exercise for the motor recovery of shoulder in chronic hemiplegia: A pilot study

Park

Kim

Kwon

et al. 2015

BME

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Abstract. Correct-active-repetitive exercise is important for the motor recovery in hemiplegics. The present study hypothesizes that the electromyogram (EMG)-controlled assistance of motion would be an effective implementation of the concept for the rehabilitation of the hemiplegic shoulder, even in chronic patients. This study aims to investigate the feasibility of the suggested method. The motor intention is derived from the EMG of the shoulder muscles and the shoulder movement (flexion and abduction) is assisted by an electro-mechanical system only when the motor intention (EMG amplitude) exceeded the threshold. Twelve patients in the chronic stage of stroke participated in this pilot study. The EMGcontrolled assistive exercise lasts for two weeks, 20 min per day and 5 days a week. The active range of motion in both abduction and flexion increases significantly after the intervention (p < 0.01). The maximum torque increases in both directions, and the increase is significant in the abduction (p < 0.01). The Fugl-Myer motor assessment score is improved greatly in the shoulder-related items (p < 0.01), but neither in the shoulder-unrelated items of the upper extremity (p = 0.13) nor in the lower extremity items (p = 0.19). This pilot study demonstrates that EMG-controlled assistive exercise can improve shoulder motor functions related to selected muscles and the suggested method is promising for the motor recovery of the shoulder in chronic hemiplegia.

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“…A control system based on EMG signals was implemented to provide the appropriate amount of assistance or resistance necessary to promote a patient's movement recovery [4]. Hua et al investigated the motor functional recovery process in chronic stroke patients during robot-assisted wrist training using EMG parameters to monitor neuromuscular changes and generate assistive torque commands [5]. Other researchers have also used EMG signals to evaluate patient performance during training or exercise sessions.…”

Section: Introductionmentioning

confidence: 99%

The Cybernetic Rehabilitation Aid: A novel concept for direct rehabilitation

Akdoğan

Shima

Kataoka

et al. 2009

2008 IEEE International Conference on Robotics and Biomimetics

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-The evaluation and teaching of motor skills in relation to patients are two important aspects of motor skill training. These two points or problems must be resolved in order to make such training effective. To address the issues simultaneously within a single system, this study proposes a Cybernetic Rehabilitation Aid (CRA) under the concept of direct teaching using tactile feedback with an EMG-based motor skill evaluation function. The CRA involves a human-machinehuman (physiotherapist-rehabilitation robot-patient) interface known as a Cybernetic Interface Platform using biological signals not only to monitor patients' motor skills but also to directly teach such skills to them. The CIP can also be used as a human-human (physiotherapist-patient) system as well as a human-machine (physiotherapist-rehabilitation robot) system. In order to evaluate motor skills, the motions of the physiotherapist (T) and the patient (P) were analyzed using a loglinearized Gaussian mixture model that can classify motion patterns via electromyography (EMG) signals. Tactile stimulators were used to convey the instructions of the therapist or the system to the patients. A rehabilitation robot known as the Biodex System was integrated into the developed setup for a number of rehabilitation tasks.

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Quantitative evaluation of motor functional recovery process in chronic stroke patients during robot-assisted wrist training

Cited by 105 publications

References 34 publications

Design and Development of Physiological Signal Acquisition System

Design and Development of Physiological Signal Acquisition System

Electromyogram-controlled assistive exercise for the motor recovery of shoulder in chronic hemiplegia: A pilot study

The Cybernetic Rehabilitation Aid: A novel concept for direct rehabilitation

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