Balance evaluation system using wearable IMU sensing
The evaluation of balance and postural stability holds significant importance in both medical rehabilitation and daily life. However, the clinical method is hindered by the inconvenience of immobility and relatively high costs associated with the force platforms. Wearable sensors, such as accelerome...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2025-02-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940241258828 |
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| _version_ | 1850031021323452416 |
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| author | Tiantian Wang Minghui Liu Benkun Bao Senhao Zhang Liuxin Yang Hongbo Yang Kai Guo Dianhuai Meng |
| author_facet | Tiantian Wang Minghui Liu Benkun Bao Senhao Zhang Liuxin Yang Hongbo Yang Kai Guo Dianhuai Meng |
| author_sort | Tiantian Wang |
| collection | DOAJ |
| description | The evaluation of balance and postural stability holds significant importance in both medical rehabilitation and daily life. However, the clinical method is hindered by the inconvenience of immobility and relatively high costs associated with the force platforms. Wearable sensors, such as accelerometers, have emerged as an alternative solution, overcoming the limitations of traditional force platforms. Thus, the purpose of this study is to utilize data obtained from a low-cost, portable, small-sized IMU (specifically an accelerometer) to predict indicators derived from force platform devices. A miniaturized and portable acceleration test equipment was proposed. Together with the random forest algorithm, our classification method achieved classification results with accuracy, recall, precision, f1-score, and specificity scores above 95%, This study provides a more portable and highly accurate tool for assessing balance ability. |
| format | Article |
| id | doaj-art-d8d31162bd4b4e8ea2d5d1481ec13c9a |
| institution | DOAJ |
| issn | 0020-2940 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Measurement + Control |
| spelling | doaj-art-d8d31162bd4b4e8ea2d5d1481ec13c9a2025-08-20T02:59:04ZengSAGE PublishingMeasurement + Control0020-29402025-02-015810.1177/00202940241258828Balance evaluation system using wearable IMU sensingTiantian Wang0Minghui Liu1Benkun Bao2Senhao Zhang3Liuxin Yang4Hongbo Yang5Kai Guo6Dianhuai Meng7Rehabilitation Medical Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, ChinaSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, ChinaSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, ChinaSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, ChinaRehabilitation Medical Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, ChinaSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, ChinaSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, ChinaRehabilitation Medical Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, ChinaThe evaluation of balance and postural stability holds significant importance in both medical rehabilitation and daily life. However, the clinical method is hindered by the inconvenience of immobility and relatively high costs associated with the force platforms. Wearable sensors, such as accelerometers, have emerged as an alternative solution, overcoming the limitations of traditional force platforms. Thus, the purpose of this study is to utilize data obtained from a low-cost, portable, small-sized IMU (specifically an accelerometer) to predict indicators derived from force platform devices. A miniaturized and portable acceleration test equipment was proposed. Together with the random forest algorithm, our classification method achieved classification results with accuracy, recall, precision, f1-score, and specificity scores above 95%, This study provides a more portable and highly accurate tool for assessing balance ability.https://doi.org/10.1177/00202940241258828 |
| spellingShingle | Tiantian Wang Minghui Liu Benkun Bao Senhao Zhang Liuxin Yang Hongbo Yang Kai Guo Dianhuai Meng Balance evaluation system using wearable IMU sensing Measurement + Control |
| title | Balance evaluation system using wearable IMU sensing |
| title_full | Balance evaluation system using wearable IMU sensing |
| title_fullStr | Balance evaluation system using wearable IMU sensing |
| title_full_unstemmed | Balance evaluation system using wearable IMU sensing |
| title_short | Balance evaluation system using wearable IMU sensing |
| title_sort | balance evaluation system using wearable imu sensing |
| url | https://doi.org/10.1177/00202940241258828 |
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