Author:
Divya R.,Shadrach Finney Daniel,Padmaja S.
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference30 articles.
1. Khan, M.U., Aziz, S., Iqtidar, K., Fernandez-Rojas, R.: Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns. Biomed. Signal Process. Control 81, 104509 (2023)
2. Zitouni, M.S., Lih-oh, S., Vicnesh, J., Khandoker, A., Acharya, U.R.: Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals. Front. Psych. 13, 2773 (2022)
3. El-Hajj, C., Kyriacou, P.A.: Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism. Biomed. Signal Process. Control 65, 102301 (2021)
4. Sadad, T., Bukhari, S.A.C., Munir, A., Ghani, A., El-Sherbeeny, A.M., Rauf, H.T.: Detection of cardiovascular disease based on PPG signals using machine learning with cloud computing. Comput. Intell. Neurosci. (2022). https://doi.org/10.1155/2022/1672677
5. Pal, P., Ghosh, S., Chattopadhyay, B.P., Saha, K.K. and Mahadevappa, M.: Screening of ischemic heart disease based on PPG signals using machine learning techniques. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 5980–5983). IEEE. (2020)