Development and Application of a Stability Index Estimation Algorithm Based on Machine Learning for Elderly Balance Ability Diagnosis in Daily Life
Background: The stability index estimation algorithm was derived and applied to develop and implement a balance ability diagnosis system that can be used in daily life. Methods: The system integrated an approach based on sensory function interaction, called the clinical test of sensory interaction w...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/10/8/943 |
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| author | Jeong-Woo Seo Taehong Kim Joong Il Kim Youngjae Jeong Kyoung-Mi Jang Junggil Kim Jun-Hyeong Do |
| author_facet | Jeong-Woo Seo Taehong Kim Joong Il Kim Youngjae Jeong Kyoung-Mi Jang Junggil Kim Jun-Hyeong Do |
| author_sort | Jeong-Woo Seo |
| collection | DOAJ |
| description | Background: The stability index estimation algorithm was derived and applied to develop and implement a balance ability diagnosis system that can be used in daily life. Methods: The system integrated an approach based on sensory function interaction, called the clinical test of sensory interaction with balance. A capacitance and resistance sensing type force mat was fabricated, and a stability index prediction algorithm was developed and applied using the center of pressure variables. The stability index prediction algorithm derived a center of pressure variable for 103 elderly people by Nintendo Wii Balance Board to predict the stability index of the balance system (Biodex SD), and the accuracy of this approach was confirmed. Results: As a result of testing with the test set, the linear regression model confirmed that the <i>r</i>-value ranged between 0.943 and 0.983. To confirm the similarity between the WBB and the flexible force mat, each measured center of pressure value was inputted and calculated in the developed regression model, and the result of the correlation coefficient validation confirmed an <i>r</i>-value of 0.96. Conclusion: The system developed in this study will be applicable to daily life in the home in the form of a floor mat. |
| first_indexed | 2024-03-11T00:06:21Z |
| format | Article |
| id | doaj.art-48bef79984df4047b0b0dd8ebf5349de |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-11T00:06:21Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-48bef79984df4047b0b0dd8ebf5349de2023-11-19T00:18:10ZengMDPI AGBioengineering2306-53542023-08-0110894310.3390/bioengineering10080943Development and Application of a Stability Index Estimation Algorithm Based on Machine Learning for Elderly Balance Ability Diagnosis in Daily LifeJeong-Woo Seo0Taehong Kim1Joong Il Kim2Youngjae Jeong3Kyoung-Mi Jang4Junggil Kim5Jun-Hyeong Do6Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of KoreaOpen XR Platform Convergence Research Center, Korea Institute of Science and Technology Information, Daejeon 34141, Republic of KoreaDigital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of KoreaDigital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of KoreaDigital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of KoreaDepartment of Biomedical Engineering, Konkuk University, Chungju 27478, Republic of KoreaDigital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of KoreaBackground: The stability index estimation algorithm was derived and applied to develop and implement a balance ability diagnosis system that can be used in daily life. Methods: The system integrated an approach based on sensory function interaction, called the clinical test of sensory interaction with balance. A capacitance and resistance sensing type force mat was fabricated, and a stability index prediction algorithm was developed and applied using the center of pressure variables. The stability index prediction algorithm derived a center of pressure variable for 103 elderly people by Nintendo Wii Balance Board to predict the stability index of the balance system (Biodex SD), and the accuracy of this approach was confirmed. Results: As a result of testing with the test set, the linear regression model confirmed that the <i>r</i>-value ranged between 0.943 and 0.983. To confirm the similarity between the WBB and the flexible force mat, each measured center of pressure value was inputted and calculated in the developed regression model, and the result of the correlation coefficient validation confirmed an <i>r</i>-value of 0.96. Conclusion: The system developed in this study will be applicable to daily life in the home in the form of a floor mat.https://www.mdpi.com/2306-5354/10/8/943clinical test of sensory interactions with balancestability indexbalance ability diagnosisforce platemachine learning |
| spellingShingle | Jeong-Woo Seo Taehong Kim Joong Il Kim Youngjae Jeong Kyoung-Mi Jang Junggil Kim Jun-Hyeong Do Development and Application of a Stability Index Estimation Algorithm Based on Machine Learning for Elderly Balance Ability Diagnosis in Daily Life Bioengineering clinical test of sensory interactions with balance stability index balance ability diagnosis force plate machine learning |
| title | Development and Application of a Stability Index Estimation Algorithm Based on Machine Learning for Elderly Balance Ability Diagnosis in Daily Life |
| title_full | Development and Application of a Stability Index Estimation Algorithm Based on Machine Learning for Elderly Balance Ability Diagnosis in Daily Life |
| title_fullStr | Development and Application of a Stability Index Estimation Algorithm Based on Machine Learning for Elderly Balance Ability Diagnosis in Daily Life |
| title_full_unstemmed | Development and Application of a Stability Index Estimation Algorithm Based on Machine Learning for Elderly Balance Ability Diagnosis in Daily Life |
| title_short | Development and Application of a Stability Index Estimation Algorithm Based on Machine Learning for Elderly Balance Ability Diagnosis in Daily Life |
| title_sort | development and application of a stability index estimation algorithm based on machine learning for elderly balance ability diagnosis in daily life |
| topic | clinical test of sensory interactions with balance stability index balance ability diagnosis force plate machine learning |
| url | https://www.mdpi.com/2306-5354/10/8/943 |
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