SFST: A robust framework for heart rate monitoring from photoplethysmography signals during physical activities

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• 作者：Dadi Zhao^a ; Yu Sun^b ; ^d ; Suiren Wan^c ; Feng Wang^a ; ^d ; ^{feng.wang@seu.edu.cn}
• 关键词：PPG ; STFT ; Heart rate monitoring ; Spectral analysis
• 刊名：Biomedical Signal Processing and Control
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：33
• 期：Complete
• 页码：316-324
• 全文大小：1731 K
• 卷排序：33

文摘

The method proposed can be adopted for different physical activities. The heart rate estimation bias is decreased compared with former publications. The spectrum based on short time Fourier transform provides a higher frequency resolution. The spectral peak tracking based on the natural heart rate is efficient for healthy subjects. The proposed method can be used for wearable devices for lower energy loss.