本研究設計一套針對帕金森氏病(Parkinson’s disease,PD)患者之步態分析系統,主要由可攜性步態裝置與即時監測系統構成。可攜性步態裝置,整合加速度規、壓力感測器、藍芽模組、控制晶片、程式軟體;即時監測系統開發,即時監測系統接收可攜性步態裝置訊號,即時監測PD患者行走狀況,包括步態參數:步數、跨步頻率、變異率與即時偵測步態凍結(FOG)發生的可能,最後儲存步態參數以供之後分析討論使用。開發步態分析系統,進行PD病患臨床試驗並評估效果與改善,希望本系統能適時及適應低改善PD病患異常步態,形成一種可提供病患閉迴路偵測、反應與處理能力的個人不太健康系統,提升其個人自我管理能力與生活品質。
The purpose of this study is to design a gait analysis system, the device mainly consists of a wearable gait analysis system and a real-time monitoring. The wearable gait analysis system integrates accelerometer, Force-Sensitive Resistor, Bluetooth, microcontroller, and software. Real-time monitoring system developed,real-time monitoring system receives signals of a wearable gait device to monitor the motor status of PD patients in real time, including gait parameters:steps、step_frequency、variability rate and real-time detection FOG occurred.Finally,save the gait parameters for analysis and discussion . The developed wearable gait analysis is to be tested on PD patients, and hopefully it can suitably and adaptively improve PD patient’s gait disorders. Hence, a personal health closed loop detection and response capabilities, is developed for the improvements of self-management and quality of living for PD.