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
doaj +4 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
Heart Rate Estimation Considering Reconstructed Signal Features Based on Variational Mode Decomposition via Multiple-Input Multiple-Output Frequency Modulated Continuous Wave Radar [PDF]
SensorsAccurate heart rate estimation using Doppler radar and Frequency Modulated Continuous Wave (FMCW) radar is highly valued for privacy protection and the ability to measure through clothing.
Sara Nakatani +2 more
doaj +4 more sources
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 +2 more sources
Remote Heart Rate Estimation Based on Transformer with Multi-Skip Connection Decoder: Method and Evaluation in the Wild [PDF]
SensorsWalaa Othman +2 more
exaly +4 more sources
Model for Heart Rate Estimation in Driving Wheelchair Using Wearable Device [PDF]
Proceedings, 2020 Recently, in the field of sports, studies have been actively conducted to collect and analyze human behavior data from various sensors for assisting exercise. However, there are very few studies targeting disabled subjects.
Shogo Asanuma +4 more
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Automated heart rate estimation in fish embryo [PDF]
2015 International Conference on Image Processing Theory, Tools and Applications (IPTA), 2015 International audienceTransparent organisms such as fish embryos are being increasingly used for environmental toxicology studies. These studies require estimating a number of physiological parameters.
Léonard, Marc +2 more
core +6 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
Towards Heart Rate Estimation in Complex Multi-Target Scenarios: A High-Precision FMCW Radar Scheme Integrating HDBS and VLW [PDF]
SensorsNon-contact heart rate estimation technology based on frequency-modulated continuous wave (FMCW) radar has garnered extensive attention in single-target scenarios, yet it remains underexplored in multi-target environments.
Xuefei Dong +5 more
doaj +2 more sources
Adaptive Beat-to-Beat Heart Rate Estimation in Ballistocardiograms [PDF]
IEEE Transactions on Information Technology in Biomedicine, 2011 A ballistocardiograph records the mechanical activity of the heart. We present a novel algorithm for the detection of individual heart beats and beat-to-beat interval lengths in ballistocardiograms (BCGs) from healthy subjects. An automatic training step based on unsupervised learning techniques is used to extract the shape of a single heart beat from ...
Christoph Brüser, Steffen Leonhardt
exaly +3 more sources