Improving Non-invasive Hemoglobin Measurement Accuracy Using Nonparametric Models

2021 ◽  
pp. 103975
Author(s):  
Jianing Man ◽  
Martin D. Zielinski ◽  
Devashish Das ◽  
Phichet Wutthisirisart ◽  
Kalyan S. Pasupathy
Author(s):  
Putut Dewantoro ◽  
Clinton Elian Gandana ◽  
Resti Oktia Rahman Hasballah Zakaria ◽  
Yoke Saadia Irawan

Author(s):  
Jens Kraitl ◽  
Ulrich Timm ◽  
Hartmut Ewald ◽  
Elfed Lewis

Author(s):  
Padma Tatiparti ◽  
Usha Kumari Chintalapati

Hemoglobin plays a major role for the existence of the healthy human being it carries oxygen supply to every cell for its survival in the entire body. As its level varies from person to person between 12-17 grams per deciliter if very high or low cause diseases. Usually low hemoglobin cause anemia in many of the women during pregnancy. In the present article the hemoglobin measurement is done noninvasively using the photoplethysmography method at the fingertip by Infrared LED with a wavelength of (880 – 940) nm and Red LED with wavelength of 660nm. The empirical calculation of Hemoglobin estimation is carried indirectly through model of oxygen saturation in skin-tissue- bone attenuation of the light on to the extremities. The analysis is supported by the Arduino IDE and MATLAB toolboxes for filtering the noise in signal and processing for target parameters. Further these real time parameters were sent to expertise to check for corrective ness and with the actual invasive methods   for diagnosing its course of action. Internet of Things (IOT) technology to the outside world communication through Android mobile App.


Author(s):  
Raditya Artha Rochmanto ◽  
Hasballah Zakaria ◽  
Ratih Devi Alviana ◽  
Nurhalim Shahib

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