EMG based rehabilitation systems - approaches for ALS patients in different stages

Wang, Yulin; Su, Alvin W.Y.; Han, Tseng-Ying; Lin, Ching-Lun; Hsu, Ling-Chi

doi:10.1109/icme.2015.7177398

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…The sEMG is a non-invasive method to register the electrical activity of the muscle fibers during a motor task, as triggered by the impulses of activation of the innervating motor neurons (Farina et al, 2014 ; Okorokova et al, 2015 ). Recently, a variety of sEMG based interfaces have been developed for rehabilitation (Wang et al, 2015 ), hand motion recognition (Ding et al, 2015 ) and reconstruction (Fernandez-Vargas et al, 2016 ), prosthesis control (He et al, 2015 ; Zhang et al, 2016 ), sign languages recognition (Cheng et al, 2015 ), facial expression recognition (Chen et al, 2015 ; Geangu et al, 2016 ), movement recognition of upper and lower limbs (Tang et al, 2014 ; Young et al, 2014 ), muscle fatigue analysis (Hawkes et al, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Model for Drawing Trace Reconstruction from Multichannel Surface Electromyographic Activity

Chen

Yang

2017

Front. Neurosci.

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Recently, several researchers have considered the problem of reconstruction of handwriting and other meaningful arm and hand movements from surface electromyography (sEMG). Although much progress has been made, several practical limitations may still affect the clinical applicability of sEMG-based techniques. In this paper, a novel three-step hybrid model of coordinate state transition, sEMG feature extraction and gene expression programming (GEP) prediction is proposed for reconstructing drawing traces of 12 basic one-stroke shapes from multichannel surface electromyography. Using a specially designed coordinate data acquisition system, we recorded the coordinate data of drawing traces collected in accordance with the time series while 7-channel EMG signals were recorded. As a widely-used time domain feature, Root Mean Square (RMS) was extracted with the analysis window. The preliminary reconstruction models can be established by GEP. Then, the original drawing traces can be approximated by a constructed prediction model. Applying the three-step hybrid model, we were able to convert seven channels of EMG activity recorded from the arm muscles into smooth reconstructions of drawing traces. The hybrid model can yield a mean accuracy of 74% in within-group design (one set of prediction models for all shapes) and 86% in between-group design (one separate set of prediction models for each shape), averaged for the reconstructed x and y coordinates. It can be concluded that it is feasible for the proposed three-step hybrid model to improve the reconstruction ability of drawing traces from sEMG.

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Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Model for Drawing Trace Reconstruction from Multichannel Surface Electromyographic Activity

Chen

Yang

2017

Front. Neurosci.

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“…In the future, we would like to develop implantable microneedles as biosensors and drug release systems for offering better medication for people with diseases associated with neuromuscular abnormalities such as myasthenia gravis. , Moreover, people with disabilities such as injured vertebra or apoplexy can communicate with people using eye movements followed by converting the analog signals to digital signals through this human–computer interface. − …”

Section: Discussionmentioning

confidence: 99%

MXene Nanosheet-Based Microneedles for Monitoring Muscle Contraction and Electrostimulation Treatment

Yang

Lin

et al. 2021

ACS Appl. Nano Mater.

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MXenes belong to a large family of two-dimensional layered transition-metal carbides and nitrides. MXene nanosheets integrate the fascinating advantages of high electronic conductivity, excellent biocompatibility, and acid/base resistance. Herein, we demonstrate a “hospital-on-a-chip” system with multifunctional microneedle electrodes for biosensing and electrostimulation using highly stable MXene nanosheets. This system consists of integrated microchip biosensors for an efficient diagnosis and medical treatment elements for therapies, thus resembling a miniaturized hospital. Microneedles are composed of dozens of micron-sized needles that can be used as an effective and painless transdermal patch to puncture the dead skin barrier for drug delivery or biosensing purposes since they are directly in contact with the dermal layer inside the human body. The wearable MXene nanosheet-based microneedles can sense the tiny electric potential difference generated from the human eye movements or muscle contraction from the human arm. Therefore, the diseases associated with neuromuscular abnormalities such as myasthenia gravis can be monitored. Consequently, the transcutaneous electrical nerve stimulation treatment can be applied according to the feedback of the micro-biosensors. In addition, MXene microneedles can offer an electrically controlled drug delivery platform and the function of enhancing blood coagulation. Finally, MXene nanosheet-based microneedles provide an interesting platform for wearable micro-biosensors and offer an essential part of the hospital-on-a-chip system.

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“…In addition, some studies attempted to either control or monitor patients' movements using medical devices such as EMG [30][31][32]34,41,44,87,112,[134][135][136][137][138][139][140][141][142]. With EMG, it is possible to monitor how the muscles respond to nerve signals.…”

Section: Commercial Sensorsmentioning

confidence: 99%

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

Koutsiana¹,

Ladakis²,

Fotopoulos³

et al. 2020

JMIR Serious Games

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Background: Serious gaming has increasingly gained attention as a potential new component in clinical practice. Specifically, its use in the rehabilitation of motor dysfunctions has been intensively researched during the past three decades. Objective: The aim of this scoping review was to evaluate the current role of serious games in upper extremity rehabilitation, and to identify common methods and practice as well as technology patterns. This objective was approached via the exploration of published research efforts over time. Methods: The literature search, using the PubMed and Scopus databases, included articles published from 1999 to 2019. The eligibility criteria were (i) any form of game-based arm rehabilitation; (ii) published in a peer-reviewed journal or conference; (iii) introduce a game in an electronic format; (iv) published in English; and (v) not a review, meta-analysis, or conference abstract. The search strategy identified 169 relevant articles. Results: The results indicated an increasing research trend in the domain of serious gaming deployment in upper extremity rehabilitation. Furthermore, differences regarding the number of publications and the game approach were noted between studies that used commercial devices in their rehabilitation systems and those that proposed a custom-made robotic arm, glove, or other devices for the connection and interaction with the game platform. A particularly relevant observation concerns the evaluation of the introduced systems. Although one-third of the studies evaluated their implementations with patients, in most cases, there is the need for a larger number of participants and better testing of the rehabilitation scheme efficiency over time. Most of the studies that included some form of assessment for the introduced rehabilitation game mentioned user experience as one of the factors considered for evaluation of the system. Besides user experience assessment, the most common evaluation method involving patients was the use of standard medical tests. Finally, a few studies attempted to extract game features to introduce quantitative measurements for the evaluation of patient improvement. Conclusions: This paper presents an overview of a significant research topic and highlights the current state of the field. Despite extensive attempts for the development of gamified rehabilitation systems, there is no definite answer as to whether a serious game is a favorable means for upper extremity functionality improvement; however, this certainly constitutes a supplementary means for motivation. The development of a unified performance quantification framework and more extensive experiments could generate richer evidence and contribute toward this direction.

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EMG based rehabilitation systems - approaches for ALS patients in different stages

Cited by 9 publications

References 20 publications

A Novel Hybrid Model for Drawing Trace Reconstruction from Multichannel Surface Electromyographic Activity

A Novel Hybrid Model for Drawing Trace Reconstruction from Multichannel Surface Electromyographic Activity

MXene Nanosheet-Based Microneedles for Monitoring Muscle Contraction and Electrostimulation Treatment

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

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