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【跌倒】透過卡爾曼濾波與三軸加速度計訊號,預測「跌倒」風險

 【跌倒】透過卡爾曼濾波與三軸加速度計訊號,預測「跌倒」風險


 文章出處  

Biomedical Signal Processing and Control 

 

 原文標題  

Efficient fall detection using Kalman filter-enhanced triaxial accelerometer signals and machine learning 

 

 文章序號  

10280 

 

智醫科學-AI醫療技術、應用與市場動

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