Harmonic sum-based method for heart rate estimation using PPG signals affected with motion artifacts
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-016-0422-z
Abstract: Wearable photoplethysmography has recently become a common technology in heart rate (HR) monitoring. General observation is that the motion artifacts change the statistics of the acquired PPG signal. Consequently, estimation of HR from such a… read more here.
Keywords: motion; heart; ppg signal; motion artifacts ... See more keywords
Application of Neural Networks for Heart Rate Monitoring
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.605
Abstract: Abstract This paper addresses the problem of heart rate (HR) monitoring from photo-plethysmography(PPG) sensors, where artifacts caused by body movements drastically affect the quality of the measurement signal. The PPG signal is windowed into consecutive… read more here.
Keywords: ppg signal; signal; rate monitoring; heart rate ... See more keywords
An optimal filter for short photoplethysmogram signals
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Data"
DOI: 10.1038/sdata.2018.76
Abstract: A photoplethysmogram (PPG) contains a wealth of cardiovascular system information, and with the development of wearable technology, it has become the basic technique for evaluating cardiovascular health and detecting diseases. However, due to the varying… read more here.
Keywords: filter short; ppg signal; optimal filter; short photoplethysmogram ... See more keywords
An Automated Algorithm to Extract Time Plane Features From the PPG Signal and its Derivatives for Personal Health Monitoring Application
Sign Up to like & getrecommendations! Published in 2019 at "IETE Journal of Research"
DOI: 10.1080/03772063.2019.1604178
Abstract: ABSTRACTRecently, photoplethysmogram (PPG) signal is widely adopted in health monitoring devices for automated assessment of different cardiovascular parameters. However, research in the area of co... read more here.
Keywords: automated algorithm; ppg signal; health monitoring; algorithm extract ... See more keywords
Performance of a Convolutional Neural Network Derived From PPG Signal in Classifying Sleep Stages
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3219863
Abstract: Automatic sleep stage classification is vital for evaluating the quality of sleep. Conventionally, sleep is monitored using multiple physiological sensors that are uncomfortable for long-term monitoring and require expert intervention. In this study, we propose… read more here.
Keywords: sleep stages; neural network; classification; convolutional neural ... See more keywords
A Robust Fusion Method for Motion Artifacts Reduction in Photoplethysmography Signal
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.3006636
Abstract: Robustness of estimating cardiorespiratory parameters from photoplethysmography (PPG) signal is highly dependent on the quality of the signal, which is heavily affected by motion artifacts. To increase the estimation accuracy of cardiorespiratory parameters, this article… read more here.
Keywords: ppg signal; fusion; method; motion artifacts ... See more keywords
Scattering-driven PPG signal model.
Sign Up to like & getrecommendations! Published in 2022 at "Biomedical optics express"
DOI: 10.1364/boe.451620
Abstract: This article discusses the origin of PPG signals. Two plausible hypotheses are analyzed: the volumetric hypothesis and a model wherein the PPG is driven by the RBC aggregation process. To verify the model predictions, the… read more here.
Keywords: aggregation; signal model; ppg signal; scattering driven ... See more keywords
Fast Emotion Recognition Based on Single Pulse PPG Signal with Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9163355
Abstract: Physiological signals contain considerable information regarding emotions. This paper investigated the ability of photoplethysmogram (PPG) signals to recognize emotion, adopting a two-dimensional emotion model based on valence and arousal to represent human feelings. The main… read more here.
Keywords: neural network; ppg signal; valence arousal; emotion ... See more keywords