Integrating Remote Photoplethysmography and Machine Learning on Multimodal Dataset for Noninvasive Heart Rate Monitoring

Integrating Remote Photoplethysmography and Machine Learning on Multimodal Dataset for Noninvasive Heart Rate Monitoring

Non-contact heart monitoring is crucial in advancing telemedicine, fitness tracking, and mass screening. Remote photoplethysmography (rPPG) is a non-contact technique to obtain information about heart pulse by analyzing the changes in the light intensity reflected or absorbed by the skin during the...

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Bibliographic Details
Main Authors: Rinaldi Anwar Buyung, Alhadi Bustamam, Muhammad Remzy Syah Ramazhan
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
heart rate
machine learning
remote photoplethysmography
signal processing
Online Access:https://www.mdpi.com/1424-8220/24/23/7537
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