Document Type
Article
Language
eng
Publication Date
9-11-2017
Publisher
Institute of Electrical and Electronic Engineers (IEEE)
Source Publication
2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)
Source ISSN
0730-3157
Abstract
Hemoglobin level detection is necessary for evaluating health condition in the human. In the laboratory setting, it is detected by shining light through a small volume of blood and using a colorimetric electronic particle counting algorithm. This invasive process requires time, blood specimens, laboratory equipment, and facilities. There are also many studies on non-invasive hemoglobin level detection. Existing solutions are expensive and require buying additional devices. In this paper, we present a smartphone-based non-invasive hemoglobin detection method. It uses the video images collected from the fingertip of a person. We hypothesized that there is a significant relation between the fingertip mini-video images and the hemoglobin level by laboratory "gold standard." We also discussed other non-invasive methods and compared with our model. Finally, we described our findings and discussed future works.
Recommended Citation
Ahsan, Golam Mushih Tanimul; Gani, Md. O.; Hasan, Md Kamrul; Ahamed, Sheikh Iqbal; Chu, William; Adibuzzaman, Mohammad; and Field, Joshua, "A Novel Real-Time Non-invasive Hemoglobin Level Detection Using Video Images from Smartphone Camera" (2017). Electrical and Computer Engineering Faculty Research and Publications. 314.
https://epublications.marquette.edu/electric_fac/314
Comments
Accepted version. "A Novel Real-Time Non-invasive Hemoglobin Level Detection Using Video Images from Smartphone Camera." Published in 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 4-8 July 2017, DOI. © 2018 IEEE. Used with permission.