步态护卫:用于非侵入式干预系统的转弯感知冻结步态检测。

Kenneth Koltermann, John Clapham, GinaMari Blackwell, Woosub Jung, Evie N Burnet, Ye Gao, Huajie Shao, Leslie Cloud, Ingrid Pretzer-Aboff, Gang Zhou
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引用次数: 0

摘要

步态冻结会增加跌倒受伤的风险并降低活动能力,从而大大降低帕金森病患者的生活质量。实时干预机制有望缓解这些症状,但需要精确的实时便携式步态冻结检测系统才能奏效。目前的实时检测系统的冻结步态识别假阳性率过高,患者无法接受。为了解决这一问题,我们提出了闭环、实时、便携式冻结步态检测和干预系统--Gait-Guard,该系统可实时治疗症状,误判率低。我们收集了 26 名患者的 1591 次步态冻结事件,对 Gait-Guard 进行了评估。与其他经过验证的步态冻结实时检测系统相比,Gait-Guard 的假阳性干预率降低了 112%,在一项与受试者无关的研究中,Gait-Guard 检测出 96.5% 的真阳性,平均干预延迟时间仅为 378.5 毫秒,使 Gait-Guard 成为患者在日常生活中可以使用的实用系统。
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Gait-Guard: Turn-aware Freezing of Gait Detection for Non-intrusive Intervention Systems.

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.

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ToPick: Time-of-Pickup Measurement for the Elderly using Wearables. Gait-Guard: Turn-aware Freezing of Gait Detection for Non-intrusive Intervention Systems. HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks. FoG-Finder: Real-time Freezing of Gait Detection and Treatment. Parkinson's Disease Action Tremor Detection with Supervised-Leaning Models.
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