MAE-Based Self-Supervised Pretraining Algorithm for Heart Rate Estimation of Radar Signals [PDF]
Sensors, 2023 Noncontact heart rate monitoring techniques based on millimeter-wave radar have advantages in unique medical scenarios. However, the accuracy of the existing noncontact heart rate estimation methods is still limited by interference, such as DC offsets ...
Yashan Xiang +4 more
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Heart Rate Estimation from Incomplete Electrocardiography Signals [PDF]
Sensors, 2023 As one of the most remarkable indicators of physiological health, heart rate (HR) has become an unfailing investigation for researchers. Unlike many existing methods, this article proposes an approach to implement short-time HR estimation from ...
Yawei Song, Jia Chen, Rongxin Zhang
doaj +3 more sources
Remote Heart Rate Estimation Based on Transformer with Multi-Skip Connection Decoder: Method and Evaluation in the Wild [PDF]
SensorsHeart rate is an essential vital sign to evaluate human health. Remote heart monitoring using cheaply available devices has become a necessity in the twenty-first century to prevent any unfortunate situation caused by the hectic pace of life.
Alexey Kashevnik +2 more
exaly +3 more sources
Multi-Headed Conv-LSTM Network for Heart Rate Estimation during Daily Living Activities [PDF]
Sensors, 2021 Non-invasive photoplethysmography (PPG) technology was developed to track heart rate during physical activity under free-living conditions. Automated analysis of PPG has made it useful in both clinical and non-clinical applications.
Michał Wilkosz, Agnieszka Szczęsna
doaj +4 more sources
GRGB rPPG: An Efficient Low-Complexity Remote Photoplethysmography-Based Algorithm for Heart Rate Estimation. [PDF]
Bioengineering (Basel), 2023 Remote photoplethysmography (rPPG) is a promising contactless technology that uses videos of faces to extract health parameters, such as heart rate. Several methods for transforming red, green, and blue (RGB) video signals into rPPG signals have been ...
Haugg F, Elgendi M, Menon C.
europepmc +2 more sources
Heart rate estimation network from facial videos using spatiotemporal feature image. [PDF]
Comput Biol Med, 2022 Remote health monitoring has become quite inevitable after SARS-CoV-2 pandemic and continues to be accepted as a measure of healthcare in future too.
Jaiswal KB, Meenpal T.
europepmc +2 more sources
Air-mattress system for ballistocardiogram-based heart rate and breathing rate estimation
Heliyon, 2023 Sleep-related problems are widespread. Numerous devices for sleep monitoring are increasingly available, including smartwatches, sleep monitoring rings, etc. These devices accumulate and analyze a substantial quantity of physiological data. In this study,
Chun-Liang Lin +2 more
doaj +2 more sources
Convolutional Autoencoding and Gaussian Mixture Clustering for Unsupervised Beat-to-Beat Heart Rate Estimation of Electrocardiograms from Wearable Sensors [PDF]
Sensors, 2021 Heart rate is one of the most important diagnostic bases for cardiovascular disease. This paper introduces a deep autoencoding strategy into feature extraction of electrocardiogram (ECG) signals, and proposes a beat-to-beat heart rate estimation method ...
Jun Zhong +7 more
doaj +2 more sources
Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks. [PDF]
Sensors (Basel), 2019 Photoplethysmography (PPG)-based continuous heart rate monitoring is essential in a number of domains, e.g., for healthcare or fitness applications. Recently, methods based on time-frequency spectra emerged to address the challenges of motion artefact ...
Reiss A +3 more
europepmc +2 more sources
RobustPPG: camera-based robust heart rate estimation using motion cancellation. [PDF]
Biomed Opt Express, 2022 Camera-based heart rate measurement is becoming an attractive option as a non-contact modality for continuous remote health and engagement monitoring.
Maity AK, Wang J, Sabharwal A, Nayar SK.
europepmc +2 more sources