巴金森病是第二常見的神經退化疾病，全球約有一千萬人深受其擾，其中步態障礙是主要症狀之一，導致行走困難，提高跌倒風險，並限制移動能力。而步態分析系統能夠量測巴金森病患者的步態行為，以觀察病情嚴重程度，而過往文獻提到節奏聽覺刺激能夠改善患者的走路行為，因此也以步態分析技術觀察節奏聽覺刺激對步態參數的影響。
本研究分兩部分，第一部分為實現可應用於巴金森病患者之Wi-Fi步態感測技術，以無接觸方式實現步態參數量化，沒有穿戴式系統的侷限性，也避免影像所造成的隱私問題。本研究針對訊號處理演算法提出重要修正以優化其感測性能，並以IMU作為驗證，在受試者以不同步調及步長的走路情況下，實現步數計算的平均誤差為6.17%、行走速度的平均誤差為10.31%、步長的平均誤差為14.52%，並且探討不同步態參數對動作量化誤差的影響，發現動作量化誤差的主要因子為步調的增加。
第二部份結合Wi-Fi與IMU感測技術於臨床收案，並進行完整的步態分析，以探討節奏聽覺刺激對患者步態參數的影響。結果發現在10位巴金森病患者中，有5位因為節奏聽覺刺激提供的外部提示改善了走路行為，且較多人改善在轉身過程與步調的一致性，而Wi-Fi感測技術在臨床收案實測中，共蒐集9位巴金森病患者的資料，其中步數計算的平均誤差為6.42%，且透過量化行走速度與步長，能夠區分出步態障礙較為嚴重的患者，也發現有4位患者因為節奏聽覺刺激導致走路速度變快。

Parkinson's disease is the second most common neurodegenerative disorder. One of the primary symptoms is gait disturbances. Gait analysis systems can measure the gait behavior of Parkinson's patients to observe the severity of the condition. Previous literature has mentioned that rhythmic auditory stimulation can improve walking behavior in patients. Therefore, this study aims to investigate the influence of rhythmic auditory stimulation on gait parameters using gait analysis technology.
This research consists of two parts. The first part focuses on implementing a Wi-Fi-based gait sensing technology applicable to Parkinson's patients. It quantifies gait parameters in a contactless manner, avoiding the limitations of wearable systems and addressing privacy concerns associated with imaging. Significant adjustments were made to the signal processing algorithm to optimize its sensing performance. Validation using Inertial Measurement Units (IMUs) demonstrated an average error of 6.17% in step count calculation, 10.31% in walking speed, and 14.52% in step length under various walking conditions with different cadences and step lengths. The study also explores the impact of different gait parameters on motion quantification error, revealing that an increased cadence is the primary contributing factor.
The second part combines Wi-Fi and IMU sensing technologies for clinical trials, conducting a comprehensive gait analysis to assess the effect of rhythmic auditory stimulation on patient gait parameters. The results indicate that among the ten Parkinson's patients, five showed improvement in walking behavior due to external cues provided by rhythmic auditory stimulation. Moreover, a greater number of individuals demonstrated improved consistency in turning and cadence. During the clinical trial with Wi-Fi sensing technology, data from nine Parkinson's patients were collected. The average error in step count calculation was 6.42%. Additionally, through quantifying walking speed and step length, it was possible to distinguish patients with more severe gait impairments. Interestingly, four patients exhibited an increase in walking speed due to rhythmic auditory stimulation.

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