Koltermann Kenneth, Clapham John, Blackwell GinaMari, Jung Woosub, Burnet Evie N, Gao Ye, Shao Huajie, Cloud Leslie, Pretzer-Aboff Ingrid, Zhou Gang
Department of Computer Science, William & Mary.
School of Nursing, Virginia Commonwealth University.
IEEE Int Conf Connect Health Appl Syst Eng Technol. 2024 Jun;2024:61-72. doi: 10.1109/chase60773.2024.00016. Epub 2024 Aug 5.
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.
冻结步态会显著降低帕金森病患者的生活质量,因为它会增加受伤跌倒的风险并降低行动能力。实时干预机制有望缓解这些症状,但需要准确的实时、便携式冻结步态检测系统才能有效。目前的实时检测系统的步态识别假阳性率过高,患者无法在现实生活中采用。为了纠正这一问题,我们提出了Gait-Guard,这是一种闭环、实时、便携式的冻结步态检测和干预系统,它能以低假阳性率实时治疗症状。我们收集了26名患者的1591次冻结步态事件来评估Gait-Guard。在一项独立于受试者的研究中,与其他经过验证的实时冻结步态检测系统相比,Gait-Guard的假阳性干预率降低了112%,检测出96.5%的真阳性,平均干预延迟仅为378.5毫秒,这使得Gait-Guard成为患者在日常生活中可以使用的实用系统。