The Clinical Uses of the Berg Balance Scale

Elliott, Jeffry L.

doi:10.1016/s0031-9406(05)65780-x

Cited by 8 publications

(2 citation statements)

References 1 publication

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“…In BBS, subjects are asked to perform 14 static and dynamic tasks, each of which is scored. The balance ability of the subject is evaluated on the basis of the total score [ 41 ].…”

Section: Methodsmentioning

confidence: 99%

Data Valuation Algorithm for Inertial Measurement Unit-Based Human Activity Recognition

Kim

Lee

2022

Sensors

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This paper proposes a data valuation algorithm for inertial measurement unit-based human activity recognition (IMU-based HAR) data based on meta reinforcement learning. Unlike previous studies that received feature-level input, the algorithm in this study added a feature extraction structure to the data valuation algorithm, and it can receive raw-level inputs and achieve excellent performance. As IMU-based HAR data are multivariate time-series data, the proposed algorithm incorporates an architecture capable of extracting both local and global features by inserting a transformer encoder after the one-dimensional convolutional neural network (1D-CNN) backbone in the data value estimator. In addition, the 1D-CNN-based stacking ensemble structure, which exhibits excellent efficiency and performance on IMU-based HAR data, is used as a predictor to supervise model training. The Berg balance scale (BBS) IMU-based HAR dataset and the public datasets, UCI-HAR, WISDM, and PAMAP2, are used for performance evaluation in this study. The valuation performance of the proposed algorithm is observed to be excellent on IMU-based HAR data. The rate of discovering corrupted data is higher than 96% on all datasets. In addition, classification performance is confirmed to be improved by the suppression of discovery of low-value data.

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“…In BBS, subjects are asked to perform 14 static and dynamic tasks, each of which is scored. The balance ability of the subject is evaluated on the basis of the total score [ 41 ].…”

Section: Methodsmentioning

confidence: 99%

Data Valuation Algorithm for Inertial Measurement Unit-Based Human Activity Recognition

Kim

Lee

2022

Sensors

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“…Research on estimating rehabilitation outcomes suggests that scores measured at admission using the BBS are inversely related to the length of hospitalization and can predict the duration of hospitalization and eventual discharge decisions [ 5 ]. Additionally, studies have categorized functional levels based on scores; for instance, scores ranging from 0 to 20 indicate the ability to walk with a walking aid, scores from 21 to 40 suggest the ability to walk with assistance, and scores from 41 to 56 indicate independent walking capability [ 6 ]. The BBS also serves as a predictor of fall risk, with scores of 41–56 indicating low risk, 21–40 indicating medium risk, and 0–20 indicating high risk [ 7 ].…”

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confidence: 99%

Outcome Measurement in Balance Problems: Berg Balance Scale

Joa

2024

Ann Rehabil Med

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For People with Disabilities Who Need Medical Care “Smart Elephant Whole Body Exercise Machine” Development and Clinical Translational Research

Yang,

Kim

2023

Lecture Notes in Computer Science

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It is difficult for inpatient rehabilitation patients to continue to perform rehabilitation exercises in the community after leaving the hospital. This is because various exercise programs, which are not medically proven, do not reflect the specificity of the individual and are performed collectively due to administrative and financial convenience. The purpose of this study is to evaluate and compare the effects of exercise programs using the Smart Elephant total body exercise device and walking on mental and physical outcomes with real-time monitoring to develop a customized rehabilitation exercise program optimized for people with disabilities. To conduct this study, five non-disabled people living in the community were selected to participate in the exercise programs of Intervention A (walking), Intervention B (walking and cycling), and Intervention C (cycling) for 9 weeks to determine the effects on physical function measures, psychosocial, mental and quality of life health outcomes, participants’ feedback and satisfaction surveys, and changes in Electromyography (EMG), Electrodermal Activity (EDA), Temperature (TEMP), and oxygen saturation (SpO2) during the intervention. It is believed that it can be used as a basis for customized rehabilitation exercise that provides a validated rehabilitation exercise service model for people with disabilities in the community.

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The Clinical Uses of the Berg Balance Scale

Cited by 8 publications

References 1 publication

Data Valuation Algorithm for Inertial Measurement Unit-Based Human Activity Recognition

Data Valuation Algorithm for Inertial Measurement Unit-Based Human Activity Recognition

Outcome Measurement in Balance Problems: Berg Balance Scale

For People with Disabilities Who Need Medical Care “Smart Elephant Whole Body Exercise Machine” Development and Clinical Translational Research

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