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The Berg Balance Scale (BBS) is a widely used clinical tool for balance evaluation. However, its dependence on trained therapists for subjective, time-consuming assessments limits its scalability. Current researchers have proposed several automated assessment systems. However, they suffer from difficulty in use in clinical settings and the need for feature engineering. The rapid advancement of wearable inertial measurement units (IMUs) provides an objective tool for motion analysis that is suitable for use in clinical environments. Thus, to address the limitations of manual scoring and complexities of capturing gait features, we proposed an automated BBS assessment system using an attention-based deep learning algorithm with IMU data, integrating convolutional neural networks (CNNs) for spatial feature extraction, bidirectional long short-term memory (Bi-LSTM) networks for temporal modeling, and attention mechanisms to emphasize informative features. Validated with 20 healthy subjects (young and elderly) and 20 patients (PD and stroke), the system achieved a mean absolute error (MAE) of 1.1627 and root mean squared error (RMSE) of 1.5333. Requiring only 5 min of walking data, this approach provided an efficient, objective solution for balance assessment to assist healthcare physicians as well as patients in their own health monitoring. The key limitations included: a limited generalizability to severely impaired patients who were unable to walk independently, and the inability to predict the score of individual tasks.<\/jats:p>","DOI":"10.3390\/bioengineering12040395","type":"journal-article","created":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T11:24:39Z","timestamp":1744025079000},"page":"395","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Berg Balance Scale Scoring System for Balance Evaluation by Leveraging Attention-Based Deep Learning with Wearable IMU Sensors"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1592-1342","authenticated-orcid":false,"given":"Zhangli","family":"Lu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huiying","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China"},{"name":"Dongfang Electric (Hangzhou) Innovation Institute Co., Ltd., Hangzhou 310000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8310-2990","authenticated-orcid":false,"given":"Honghao","family":"Lyu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China"},{"name":"Zhejiang Engineering Research Center of Robotics in Electric Equipment Manufacturing and Intelligent Operation-Maintenance, Hangzhou 310000, China"},{"name":"Zhejiang Key Laboratory of Intelligent Operation and Maintenance Robot, Hangzhou Shenhao Technology, Hangzhou 310000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haiteng","family":"Wu","sequence":"additional","affiliation":[{"name":"Zhejiang Key Laboratory of Intelligent Operation and Maintenance Robot, Hangzhou Shenhao Technology, Hangzhou 310000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0998-4655","authenticated-orcid":false,"given":"Shaohua","family":"Tian","sequence":"additional","affiliation":[{"name":"Zhejiang Key Laboratory of Intelligent Operation and Maintenance Robot, Hangzhou Shenhao Technology, Hangzhou 310000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8685-5426","authenticated-orcid":false,"given":"Geng","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China"},{"name":"Zhejiang Engineering Research Center of Robotics in Electric Equipment Manufacturing and Intelligent Operation-Maintenance, Hangzhou 310000, China"},{"name":"Zhejiang Key Laboratory of Intelligent Operation and Maintenance Robot, Hangzhou Shenhao Technology, Hangzhou 310000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Beck Jepsen, D., Robinson, K., Ogliari, G., Montero-Odasso, M., Kamkar, N., Ryg, J., and Masud, T. (2022). Predicting Falls in Older Adults: An Umbrella Review of Instruments Assessing Gait, Balance, and Functional Mobility. BMC Geriatr., 22.","DOI":"10.1186\/s12877-022-03271-5"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.gaitpost.2022.08.005","article-title":"Reliability of IMU-Based Balance Assessment in Clinical Stroke Rehabilitation","volume":"98","author":"Felius","year":"2022","journal-title":"Gait Posture"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3255","DOI":"10.1111\/jan.14800","article-title":"Virtual Reality for Limb Motor Function, Balance, Gait, Cognition and Daily Function of Stroke Patients: A Systematic Review and Meta-Analysis","volume":"77","author":"Zhang","year":"2021","journal-title":"J. Adv. 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Intell."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.jbiomech.2019.06.001","article-title":"An automated, electronic assessment tool can accurately classify older adult postural stability","volume":"93","author":"Johnson","year":"2019","journal-title":"J. Biomech."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Han, Y., Liu, X., Zhang, N., Zhang, X., Zhang, B., Wang, S., Liu, T., and Yi, J. (2023). Automatic Assessments of Parkinsonian Gait with Wearable Sensors for Human Assistive Systems. Sensors, 23.","DOI":"10.3390\/s23042104"},{"key":"ref_9","first-page":"1114","article-title":"Accelerometry-based Berg Balance Scale score estimation","volume":"18","author":"Merilahti","year":"2013","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.bspc.2015.10.005","article-title":"Automatic Berg Balance Scale assessment system based on accelerometric signals","volume":"24","author":"Badura","year":"2016","journal-title":"Biomed. Signal Process. Control."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"6743","DOI":"10.1109\/JSEN.2017.2749446","article-title":"Quantitative assessment of balance impairment for fall-risk estimation using wearable triaxial accelerometer","volume":"17","author":"Shahzad","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"19919","DOI":"10.1109\/JSEN.2022.3200986","article-title":"Automatic assessment system based on IMUs and machine learning for predicting Berg Balance Scale","volume":"22","author":"Lin","year":"2022","journal-title":"IEEE Sens. J."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"111189","DOI":"10.1016\/j.ymssp.2024.111189","article-title":"Mining knowledge from unlabeled data for fault diagnosis: A multi-task self-supervised approach","volume":"211","author":"Kong","year":"2024","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/JTEHM.2019.2952610","article-title":"Teleoperation of collaborative robot for remote dementia care in home environments","volume":"8","author":"Lv","year":"2020","journal-title":"IEEE J. Transl. Eng. Health Med."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.jmsy.2023.01.007","article-title":"An attention-based deep learning approach for inertial motion recognition and estimation in human-robot collaboration","volume":"67","author":"Zhou","year":"2023","journal-title":"J. Manuf."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Mannini, A., Trojaniello, D., Cereatti, A., and Sabatini, A.M. (2016). A machine learning framework for gait classification using inertial sensors: Application to elderly, post-stroke and Huntington\u2019s disease patients. Sensors, 16.","DOI":"10.3390\/s16010134"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Abdul Jabbar, K., Sarvestan, J., Zia Ur Rehman, R., Lord, S., Kerse, N., Teh, R., and Del Din, S. (2023). Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults. Sensors, 23.","DOI":"10.3390\/s23104605"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Romijnders, R., Warmerdam, E., Hansen, C., Schmidt, G., and Maetzler, W. (2022). A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts. Sensors, 22.","DOI":"10.3390\/s22103859"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1109\/JBHI.2020.2982978","article-title":"IMU-based gait normalcy index calculation for clinical evaluation of impaired gait","volume":"25","author":"Wang","year":"2020","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1186\/s12984-021-00931-2","article-title":"Assessing the usability of wearable devices to measure gait and physical activity in chronic conditions: A systematic review","volume":"18","author":"Keogh","year":"2021","journal-title":"J. Neuroeng. Rehabilitat."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"6910","DOI":"10.1109\/JSEN.2022.3153398","article-title":"Residual neural network and long short-term memory\u2013based algorithm for estimating the motion trajectory of inertial measurement units","volume":"22","author":"Lin","year":"2022","journal-title":"IEEE Sens. J."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Wang, Q., Wu, B., Zhu, P., Li, P., Zuo, W., and Hu, Q. (2020, January 14\u201319). ECA-Net: Efficient channel attention for deep convolutional neural networks. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA.","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., and Sun, G. (2018, January 18\u201323). Squeeze-and-excitation networks. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA.","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"920","DOI":"10.1109\/JSEN.2023.3334230","article-title":"Analysis of gait data based on deep learning to predict multiple balance scale scores","volume":"24","author":"Lin","year":"2023","journal-title":"IEEE Sens. J."}],"container-title":["Bioengineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5354\/12\/4\/395\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:11:23Z","timestamp":1760029883000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5354\/12\/4\/395"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,7]]},"references-count":24,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2025,4]]}},"alternative-id":["bioengineering12040395"],"URL":"https:\/\/doi.org\/10.3390\/bioengineering12040395","relation":{},"ISSN":["2306-5354"],"issn-type":[{"value":"2306-5354","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,7]]}}}