【呼吸】利用基於FPGA機器學習，將非侵入感應頻帶訊號轉換為「肺活量」測量值

 【呼吸】利用基於FPGA機器學習，將非侵入感應頻帶訊號轉換為「肺活量」測量值

 文章出處  

Biomedical Signal Processing and Control 

 

 原文標題  

FPGA-implemented machine learning for the translation of inductive band signals into their spirometric waveform equivalent 

 

 文章序號  

12577 

 

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