| Autor: |
Koltermann K; Department of Computer Science, William & Mary., Clapham J; Department of Computer Science, William & Mary., Blackwell G; School of Nursing, Virginia Commonwealth University., Jung W; Computer & Information Sciences, Towson University., Burnet EN; Department of Kinesiology, William & Mary., Gao Y; Department of Computer Science, William & Mary., Shao H; Department of Computer Science, William & Mary., Cloud L; Department of Neurology, Virginia Commonwealth University., Pretzer-Aboff I; School of Nursing, Virginia Commonwealth University., Zhou G; Department of Computer Science, William & Mary. |
| Jazyk: |
angličtina |
| Zdroj: |
...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies [IEEE Int Conf Connect Health Appl Syst Eng Technol] 2024 Jun; Vol. 2024, pp. 61-72. Date of Electronic Publication: 2024 Aug 05. |
| DOI: |
10.1109/chase60773.2024.00016 |
| Abstrakt: |
Freezing of gait significantly reduces the quality of life for Parkinson's disease patients by increasing the risk of injurious falls and reducing mobility. Real-time intervention mechanisms promise relief from these symptoms, but require accurate real-time, portable freezing of gait detection systems to be effective. Current real-time detection systems have unacceptable false positive freezing of gait identification rates to be adopted by the patients for real-world use. To rectify this, we propose Gait-Guard, a closed-loop, real-time, and portable freezing of gait detection and intervention system that treats symptoms in real-time with a low false positive rate. We collected 1591 freezing of gait events across 26 patients to evaluate Gait-Guard. Gait-Guard achieved a 112% reduction in the false positive intervention rate when compared with other validated real-time freezing of gait detection systems, and detected 96.5% of the true positives with an average intervention latency of just 378.5ms in a subject-independent study, making Gait-Guard a practical system for patients to use in their daily lives. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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