Biofeedback Assessment for Older People with Balance Impairment using a Low-cost Balance Board

Worasak Rueangsirarak; Chayuti Mekurai; Hubert P. H. Shum; Surapong Uttama; Roungsan Chaisricharoen; Kitchana Kaewkaen

doi:10.1109/GWS.2017.8300483

Biofeedback Assessment for Older People with Balance Impairment using a Low-cost Balance Board

Worasak Rueangsirarak, Chayuti Mekurai, Hubert P. H. Shum, Surapong Uttama, Roungsan Chaisricharoen, Kitchana Kaewkaen

Computer and Information Sciences Department

Research output: Contribution to conference › Paper

3 Citations (Scopus)

32 Downloads (Pure)

Abstract

This paper studies the feasibility of using a low-cost game device called Wii Fit Balance Board® to measure the static balance of older people for diagnosing a balance impairment, which is caused by muscle weakness in stroke patients. Sixty participants were invited to attend the risk assessment that included a clinical test. Four biofeedback testing patterns were tested with the participants. Two machine learning algorithms were selected to experiment using 10-fold cross validation scenario. The results show that Artificial Neuron Network has the best evaluation performance of 86.67%, 80%, and 80% in three out of four biofeedback testing patterns. This demonstrates that the application of static balance measurement together with Wii Fit Balance Board® could be implemented as a tool to replace high-cost force plate systems.

Original language	English
Number of pages	6
DOIs	https://doi.org/10.1109/GWS.2017.8300483
Publication status	Published - Oct 2017
Event	GWS 2017 - Global Wireless Summit - Cape Town, South Africa Duration: 15 Oct 2017 → 18 Oct 2017 http://gwsummit2017.org/images/GWS_Program2.pdf

Conference

Conference	GWS 2017 - Global Wireless Summit
Country/Territory	South Africa
City	Cape Town
Period	15/10/17 → 18/10/17
Internet address	http://gwsummit2017.org/images/GWS_Program2.pdf

Keywords

static balance
Wii Fit Balance Board
classification
low-cost measuring tool
biofeedback

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/GWS.2017.8300483

Rueangsirarak et al - Biofeedback Assessment for Older People with Balance Impairment using a Low-cost Balance Board AAMAccepted author manuscript, 328 KB

Cite this

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title = "Biofeedback Assessment for Older People with Balance Impairment using a Low-cost Balance Board",

abstract = "This paper studies the feasibility of using a low-cost game device called Wii Fit Balance Board{\textregistered} to measure the static balance of older people for diagnosing a balance impairment, which is caused by muscle weakness in stroke patients. Sixty participants were invited to attend the risk assessment that included a clinical test. Four biofeedback testing patterns were tested with the participants. Two machine learning algorithms were selected to experiment using 10-fold cross validation scenario. The results show that Artificial Neuron Network has the best evaluation performance of 86.67%, 80%, and 80% in three out of four biofeedback testing patterns. This demonstrates that the application of static balance measurement together with Wii Fit Balance Board{\textregistered} could be implemented as a tool to replace high-cost force plate systems.",

keywords = "static balance, Wii Fit Balance Board, classification, low-cost measuring tool, biofeedback",

author = "Worasak Rueangsirarak and Chayuti Mekurai and Shum, {Hubert P. H.} and Surapong Uttama and Roungsan Chaisricharoen and Kitchana Kaewkaen",

year = "2017",

month = oct,

doi = "10.1109/GWS.2017.8300483",

language = "English",

note = "GWS 2017 - Global Wireless Summit ; Conference date: 15-10-2017 Through 18-10-2017",

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T1 - Biofeedback Assessment for Older People with Balance Impairment using a Low-cost Balance Board

AU - Rueangsirarak, Worasak

AU - Mekurai, Chayuti

AU - Shum, Hubert P. H.

AU - Uttama, Surapong

AU - Chaisricharoen, Roungsan

AU - Kaewkaen, Kitchana

PY - 2017/10

Y1 - 2017/10

N2 - This paper studies the feasibility of using a low-cost game device called Wii Fit Balance Board® to measure the static balance of older people for diagnosing a balance impairment, which is caused by muscle weakness in stroke patients. Sixty participants were invited to attend the risk assessment that included a clinical test. Four biofeedback testing patterns were tested with the participants. Two machine learning algorithms were selected to experiment using 10-fold cross validation scenario. The results show that Artificial Neuron Network has the best evaluation performance of 86.67%, 80%, and 80% in three out of four biofeedback testing patterns. This demonstrates that the application of static balance measurement together with Wii Fit Balance Board® could be implemented as a tool to replace high-cost force plate systems.

AB - This paper studies the feasibility of using a low-cost game device called Wii Fit Balance Board® to measure the static balance of older people for diagnosing a balance impairment, which is caused by muscle weakness in stroke patients. Sixty participants were invited to attend the risk assessment that included a clinical test. Four biofeedback testing patterns were tested with the participants. Two machine learning algorithms were selected to experiment using 10-fold cross validation scenario. The results show that Artificial Neuron Network has the best evaluation performance of 86.67%, 80%, and 80% in three out of four biofeedback testing patterns. This demonstrates that the application of static balance measurement together with Wii Fit Balance Board® could be implemented as a tool to replace high-cost force plate systems.

KW - static balance

KW - Wii Fit Balance Board

KW - classification

KW - low-cost measuring tool

KW - biofeedback

U2 - 10.1109/GWS.2017.8300483

DO - 10.1109/GWS.2017.8300483

M3 - Paper

T2 - GWS 2017 - Global Wireless Summit

Y2 - 15 October 2017 through 18 October 2017

ER -

Biofeedback Assessment for Older People with Balance Impairment using a Low-cost Balance Board

Abstract

Conference

Keywords

UN SDGs

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