Journal of neurology · 2026
Real-time detection and subtyping of "On-meds" freezing of gait in Parkinson's disease using lower-limb acceleration data.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Xian Wenbiao, Hu Bin, Chomiak Taylor, Su Fengjuan, Pei Zhong
Аннотация
BACKGROUND: Although many patients with Parkinson's disease (PD) report experiencing episodes of freezing of gait (FOG) at home under ON medication ("On-meds") conditions, objective and accurate diagnosis of different types of FOG events remains an extremely challenging task.
METHODS: We conducted an observational, case-control study enrolling 75 consecutive PD patients, who were classified into "freezer" (n = 50) and "non-freezer" (n = 25) group, based on responses to the FOG Questionnaire and clinical confirmation. A modified timed up and go (TUG) protocol comprised one single‑task TUG (sTUG) and two dual‑task TUGs (cognitive, manual). Synchronized video and a single wearable sensor (Ambulosono) provided parallel capture for real‑time detection and subtyping of FOG.
RESULTS: In the "freezers" group, 337 FOG episodes occurred during TUG testing, whereas none were recorded in the "non‑freezers" group (p < 0.01). The mean frequency was 2.25 FOG episodes per person per test. Compared with the sTUG test (74 FOG episodes), dual-task trials identified 263 FOG episodes, representing a 255% increase (p < 0.01). Trembling, shuffling and akinetic subtypes were identifiable on the device display (GMGI), with sensitivity 87.2% and specificity 89.5% versus video. Wearable data also localized subtypes by gait phase (initiation, turning, midway and ending).
CONCLUSIONS: "On-meds" FOGs can be objectively diagnosed among self-reported freezers using a dual task protocol during gait tests. Parallel video and wearable sensor recordings facilitate the real-time detection and subtyping of "On-meds" FOGs, which can substantially improve the current clinical practice.
METHODS: We conducted an observational, case-control study enrolling 75 consecutive PD patients, who were classified into "freezer" (n = 50) and "non-freezer" (n = 25) group, based on responses to the FOG Questionnaire and clinical confirmation. A modified timed up and go (TUG) protocol comprised one single‑task TUG (sTUG) and two dual‑task TUGs (cognitive, manual). Synchronized video and a single wearable sensor (Ambulosono) provided parallel capture for real‑time detection and subtyping of FOG.
RESULTS: In the "freezers" group, 337 FOG episodes occurred during TUG testing, whereas none were recorded in the "non‑freezers" group (p < 0.01). The mean frequency was 2.25 FOG episodes per person per test. Compared with the sTUG test (74 FOG episodes), dual-task trials identified 263 FOG episodes, representing a 255% increase (p < 0.01). Trembling, shuffling and akinetic subtypes were identifiable on the device display (GMGI), with sensitivity 87.2% and specificity 89.5% versus video. Wearable data also localized subtypes by gait phase (initiation, turning, midway and ending).
CONCLUSIONS: "On-meds" FOGs can be objectively diagnosed among self-reported freezers using a dual task protocol during gait tests. Parallel video and wearable sensor recordings facilitate the real-time detection and subtyping of "On-meds" FOGs, which can substantially improve the current clinical practice.