Adjustment of the Z-Bench Transmissometer for Biomedical Measurements at 300 GHz Using a 3-D Printed Back-to-Back Horn

2020 ◽  
Author(s):  
Rostyslav Dubrovka ◽  
Andre Sarker Andy ◽  
Robert Christopher Jones ◽  
Max Munoz Torrico ◽  
Robert Donnan
Keyword(s):  
Biomedical Measurements

scholarly journals 3-D Printed UWB Microwave Bodyscope for Biomedical Measurements

2019 ◽  
Vol 18 (4) ◽  
pp. 626-630 ◽  
Author(s):  
Saba Rashid ◽  
Lluis Jofre ◽  
Alejandra Garrido ◽  
Giselle Gonzalez ◽  
Yongsheng Ding ◽  
...  
Keyword(s):  
Biomedical Measurements

scholarly journals Bio-speckle phenomena and their applications to biomedical measurements.

1990 ◽  
Vol 18 (5) ◽  
pp. 321-335
Author(s):  
Yoshihisa AIZU ◽  
Toshimitsu ASAKURA
Keyword(s):  
Biomedical Measurements

scholarly journals Characteristics of a Photoacoustic Detector for Biomedical Measurements.

2002 ◽  
Vol 30 (10) ◽  
pp. 598-601 ◽  
Author(s):  
Mutsuo YAMAZAKI ◽  
Tomoaki SHIMADA ◽  
Shunichi SATO ◽  
Takao MIYA ◽  
Hiroji OHIGASHI ◽  
...  
Keyword(s):  
Biomedical Measurements

scholarly journals Sensitivity improvement of GMI magnetic and pressure transducers for biomedical measurements

2011 ◽  
Vol 27 (2) ◽  
pp. 79-89 ◽  
Author(s):  
Eduardo Costa da Silva ◽  
Luiz Antônio Pereira de Gusmão ◽  
Carlos Roberto Hall Barbosa ◽  
Elisabeth Costa Monteiro ◽  
Fernando Luiz de Araújo Machado
Keyword(s):  
Pressure Transducers ◽  
Sensitivity Improvement ◽  
Biomedical Measurements

scholarly journals Biometric Signals Estimation Using Single Photon Camera and Deep Learning

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6102
Author(s):  
Marco Paracchini ◽  
Marco Marcon ◽  
Federica Villa ◽  
Franco Zappa ◽  
Stefano Tubaro
Keyword(s):  
Deep Learning ◽  
Working Conditions ◽  
Signal Analysis ◽  
Single Photon ◽  
Pulse Signal ◽  
Video Stream ◽  
Segmentation Method ◽  
Remote Photoplethysmography ◽  
Novel Method ◽  
Biomedical Measurements

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.

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