Assessment of Blood Pressure by Photoplethysmogram Signal Based on the Combined Configuration of an Artificial Neural Network
Author:
Affiliation:
1. Saint Petersburg Electrotechnical University "LETI",St. Petersburg,Russian Federation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9794805/9794826/09794865.pdf?arnumber=9794865
Reference6 articles.
1. Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches;ghufran khalid;Hindawi Journal of Healthcare Engineering,2018
2. Cuffless Blood Pressure Measurement Using a Smartphone-Case Based ECG Monitor with Photoplethysmography in Hypertensive Patients
3. Biomedical signal analysis. A case-study approach;rangayyan,2002
4. Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques;hossain chowdhury;SENSORS,2020
5. Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
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