Real-time human blood pressure measurement based on laser self-mixing interferometry with extreme learning machine

In this paper, we present a method based on self-mixing interferometry combing extreme learning machine for real-time human blood pressure measurement. A signal processing method based on wavelet transform is applied to extract reversion point in the self-mixing interference signal, thus the pulse w...

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Veröffentlicht in:	Optoelectronics letters 2020-11, Vol.16 (6), p.467-470
Hauptverfasser:	Wang, Xiu-lin, Lü, Li-ping, Hu, Lu, Huang, Wen-cai
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Blood pressure Coriolis force Interferometry Lasers Machine learning Optical Devices Optics Photonics Physics Physics and Astronomy Pressure measurement Real time Signal processing Wavelet transforms
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