A Novel Environment-Adaptive Timed Up and Go Test System for Fall Risk Assessment With Wearable Inertial Sensors
| Autor: | Guanglin Li, Ning Yunkun, Yanan Diao, Shengyun Liang, Yu Zhang, Guoru Zhao, Nan Lou |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Computer science business.industry media_common.quotation_subject 010401 analytical chemistry Timed Up and Go test 01 natural sciences Wearable inertial sensors Adaptability 0104 chemical sciences Test (assessment) Physical medicine and rehabilitation Gait (human) Stairs medicine Sensitivity (control systems) Electrical and Electronic Engineering business human activities Instrumentation Risk management media_common |
| Zdroj: | IEEE Sensors Journal. 21:18287-18297 |
| ISSN: | 2379-9153 1530-437X |
| Popis: | Objective: Falls are often accompanied by huge social costs, and fall risk assessment is essential to protect the elderly from serious injuries and reduce financial burdens. The standard timed up and go (TUG) balance assessment test focuses on the total walking time and scenarios without environmental changes, which is flawed in providing rich information related to falls and evaluating the gait adaptability in response to environmental changes. Therefore, a fall risk assessment system that relies on a variable environment is actually needed. Methods: We have constructed an environment-adaptive TUG (EATUG) test system with three terrain surfaces (levels/obstacles/stairs). One hundred and three elderly from Shenzhen Luohu Hospital is recruited to participate in the experiment. The wearable inertial sensors attached to the two shanks are used to acquire data, and the gait parameters that may be related to falls are extracted and quantified. Results: Most of the parameters have significant differences between the high-risk group and the low-risk group (e.g., peak power, maximum radius, double support, etc., p < 0.001). In addition, the average sensitivity and specificity of fall risk prediction are 85.7% and 92.9%, while the average accuracy is 9.52% higher than the standard TUG test. Conclusion: The EATUG test system can provide richer gait characteristics and fall-related information, which is a good improvement on the drawbacks of the standard TUG test. Significance: The proposed test system is expected to replace the standard TUG test and be used for fall screening of high-risk elderly in the community to reduce the occurrence of falls. |
| Databáze: | OpenAIRE |
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