Work

Machine Learning Prediction of Heart Health Status from Mobile PPG Sensor Data

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Computer-Based Medical Systems (CBMS)

DOI: 10.1109/cbms65348.2025.00086

Authors: Sergio A. Alvarez, Corrine Y. Jurgens, Yik Ki Lam, Easton Cummins, Jacqueline C. Massaro, Charounipha Soydara, Christopher S. Lee, Marvin A. Konstam

Institutions: Boston College, University of Notre Dame, University of Cincinnati, Massachusetts General Hospital, Tufts Medical Center

Language: English

Topic: Non-Invasive Vital Sign Monitoring

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4412030484

FWCI:

Cites: 12

Cited by:

Related to: 10