This project describes a noninvasive approach to estimating blood constituent levels using smartphone-created finger-tip video images. My research focuses the overall strategy and specific application in measuring blood hemoglobin levels. We consider general parameters of applicable sensors, signal processing, and data analytic tools and strategies. Finally, we consider the directions for further improving this model and the general application of this noninvasive finger-tip video strategy for estimating other blood constituent levels such as glucose, hemoglobin A1c, blood urea nitrogen and creatinine.
Md Kamrul Hasan, Md Munirul Haque, Riddhiman Adib, Jannatul F. Tumpa, Richard R. Love, Young L. Kim, Sheikh I Ahamed. "SmartHeLP: Smartphone-based Hemoglobin Level Prediction Using an Artificial Neural Network." In AMIA Annual Symposium Proceedings, Accepted in American Medical Informatics Association, 2018.
Hasan, Md Kamrul, Munirul Haque, Nazmus Sakib, Richard Love, and Sheikh I. Ahamed. "Smartphone-based Human Hemoglobin Level Measurement Analyzing Pixel Intensity of a Fingertip Video on Different Color Spaces." Smart Health (2017).
Hasan, Md Kamrul, Nazmus Sakib, Richard R. Love, and Sheikh I. Ahamed. "Analyzing the existing noninvasive hemoglobin measurement techniques." In Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), 2017 IEEE 8th Annual, pp. 442-448. IEEE, 2017.
Hasan, Md Kamrul, Nazmus Sakib, Richard R. Love, and Sheikh I. Ahamed. "RGB pixel analysis of fingertip video image captured from sickle cell patient with low and high level of hemoglobin." In Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), 2017 IEEE 8th Annual, pp. 499-505. IEEE, 2017.
Hasan, Md Kamrul, Nazmus Sakib, Joshua Field, Richard R. Love, and Sheikh I. Ahamed. "A Novel Technique of Noninvasive Hemoglobin Level Measurement Using HSV Value of Fingertip Image." In 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), pp. 221-229. IEEE, 2017.
Ahsan, Golam MT, Md O. Gani, Hasan, Md Kamrul, Sheikh I. Ahamed, William Chu, Mohammad Adibuzzaman, and Joshua Field. "A Novel Real-Time Non-invasive Hemoglobin Level Detection Using Video Images from Smartphone Camera." In Computer Software and Applications Conference (COMPSAC), 2017 IEEE 41st Annual, vol. 1, pp. 967-972. IEEE, 2017.
Hasan, Md Kamrul, Sakib, N., Field, J., Love, R. R., & Ahamed, S. I. (2017). Bild (Big Image n Less Dimension): A Novel Technique for Image Feature Selection to Apply Partial Least Square Algorithm. In Biomedical Conference (GLBC), 2017 IEEE Great Lakes (pp. 1-1). IEEE.
Hasan, Md Kamrul, Sakib, N., Field, J., Love, R. R., & Ahamed, S. I. (2017). A Novel Process to Extract Important Information From Invisible Video Captured by Smartphone. In Biomedical Conference (GLBC), 2017 IEEE Great Lakes, (pp. 1-1). IEEE.