A Machine Learning Method to Improve Non-Contact Heart Rate Monitoring Using an RGB Camera
Recording and monitoring vital signs is an essential part of home-based healthcare. Using contact sensors to record physiological signals can cause discomfort to patients, especially after prolonged use. Hence, remote physiological measurement approaches have attracted considerable attention, as the...
Main Authors: | Hamideh Ghanadian, Mohammad Ghodratigohar, Hussein Al Osman |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8478131/ |
Similar Items
-
A Machine Learning Method to Improve Non-Contact Heart Rate Monitoring Using RGB Camera
by: Ghanadian, Hamideh
Published: (2018) -
Heart Rate Variability Extraction From Videos Signals: ICA vs. EVM Comparison
by: Karim Alghoul, et al.
Published: (2017-01-01) -
Heart Rate Variability Extraction from Video Signals
by: Alghoul, Karim
Published: (2015) -
Remote heart rate estimation by evaluating measurements from multiple signals
by: Uggla Lingvall, Kristoffer
Published: (2017) -
A Study on the Effect of Contact Pressure during Physical Activity on Photoplethysmographic Heart Rate Measurements
by: Francesco Scardulla, et al.
Published: (2020-09-01)