帕金森氏症在動作症狀的臨床診斷上，仰賴醫生的經驗與主觀判斷，且患者日常生活的真實狀態不一定能在問診過程中觀察到。
本研究利用二組WiFi設備之通道狀態資訊建立空間中的平面二維座標，經由主成分分析與短時距傅立葉轉換，擷取受試者之步態資訊，包含總行走距離、步長和步調，並進行定位與路徑追蹤。結果顯示單人直線行走時的步長誤差介於0.02 m – 0.16 m，步調誤差介於0.01 Hz – 0.16 Hz，角度平均誤差低於10度；單人行走於圓環路徑之定位誤差分別為0.31m(順時針)與0.50m(逆時針)。此外，本方法可偵測受試者行走於非預定路徑與方向上，且同時偵測二位受試者的步態資訊，可採集患者日常生活中之長時間數據，提供客觀可信賴之科學數據輔助醫生診斷，促進帕金森氏症整體健康照護。

In current clinical practice, assessing the motor functions of Parkinson’s Disease relies on the physician’s experience and subjective judgment. Also, the real condition of the disease may not appear during clinical examination. This paper utilized the Channel State Information from two WiFi links to construct a two-dimensional coordinate system in space to locate, track, and capture the gait information of a walking subject, including total walking length, step length, and cadence. The results showed that the estimation errors of the proposed method were 0.02 – 0.16 m for step length, 0.01 – 0.16 Hz for cadence, and <10 degrees for walking angle when a subject walked along a straight path. For walking along a circular path in the clockwise and counterclockwise directions, the localization errors were 0.31 m and 0.50 m. Moreover, the proposed method could capture the gait information of two subjects simultaneously when they walked along a non-predefined path. The method can be further developed as a home health care technology for long-term monitoring of patients to provide objective and reliable analysis for the diagnosis of the disease and offer accurate treatment and care.

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