Select on wavelet in the SK static mixer with the velocity pulse signal analysis

Author(s):  
Bin Gong ◽  
ZhongPing Bao ◽  
ChengCheng Guo ◽  
JianHua Wu
2010 ◽  
Vol 10 (3) ◽  
pp. 109-117 ◽  
Author(s):  
Dharitri Goswami ◽  
Koel Chaudhuri ◽  
Jayanta Mukherjee

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6102
Author(s):  
Marco Paracchini ◽  
Marco Marcon ◽  
Federica Villa ◽  
Franco Zappa ◽  
Stefano Tubaro

The problem of performing remote biomedical measurements using just a video stream of a subject face is called remote photoplethysmography (rPPG). The aim of this work is to propose a novel method able to perform rPPG using single-photon avalanche diode (SPAD) cameras. These are extremely accurate cameras able to detect even a single photon and are already used in many other applications. Moreover, a novel method that mixes deep learning and traditional signal analysis is proposed in order to extract and study the pulse signal. Experimental results show that this system achieves accurate results in the estimation of biomedical information such as heart rate, respiration rate, and tachogram. Lastly, thanks to the adoption of the deep learning segmentation method and dependability checks, this method could be adopted in non-ideal working conditions—for example, in the presence of partial facial occlusions.


2014 ◽  
Author(s):  
Zhengang Yan ◽  
Weiping Sun ◽  
Keding Yan ◽  
Jie Li ◽  
Hongpeng Lv ◽  
...  

Author(s):  
David Zhang ◽  
Wangmeng Zuo ◽  
Peng Wang
Keyword(s):  

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