Noninvasive Hemoglobin Level Prediction in a Mobile Phone Environment: State of the Art Review and Recommendations

Autor: Hasan, Md Kamrul, Aziz, Md Hasanul, Zarif, Md Ishrak Islam, Hasan, Mahmudul, Hashem, MMA, Guha, Shion, Love, Richard R, Ahamed, Sheikh

Publikováno v: JMIR mHealth and uHealth, Vol 9, Iss 4, p e16806 (2021)

BackgroundThere is worldwide demand for an affordable hemoglobin measurement solution, which is a particularly urgent need in developing countries. The smartphone, which is the most penetrated device in both rich and resource-constrained areas, would

Externí odkaz: https://doaj.org/article/921bcf8d020c42e598a416aa01ad600d

DNN-BP: a novel framework for cuffless blood pressure measurement from optimal PPG features using deep learning model.

Autor: Raju SMTU; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh. taslimuddinraju7864@gmail.com., Dipto SA; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Hossain MI; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Chowdhury MAS; Department of Biomedical Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Haque F; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Nashrah AT; Department of Biomedical Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Nishan A; Department of Business Administration, International American University, Los Angeles, CA, 90010, USA., Khan MMH; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Hashem MMA; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh.

Publikováno v: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Jul 04. Date of Electronic Publication: 2024 Jul 04.