Results 31 to 40 of about 20,563 (280)
Detection of irregular heartbeats using tensors [PDF]
2015 Computing in Cardiology Conference (CinC), 2015 Automatic classification of heartbeats in different categories is important for ECG analysis. The number of irregular heartbeats in a signal can for example be used as a risk stratifier for sudden cardiac death. Current heart-beat classification methods typically use time or frequency domain features to characterize heartbeats.
Goovaerts, Griet +4 more
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Atrial Fibrillation Detection Algorithm Based on Graph Convolution Network
IEEE Access, 2023 Atrial fibrillation (AF) is a common type of arrhythmia with a high incidence and risk, and it is difficult to monitor. Deep learning-based algorithms for AF detection have made preliminary progress, with Recurrent Convolution Neural Networks (RCNN ...
Hua Ma, Lingnan Xia
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Digital Health, 2023 Cardiovascular disease is one of the main causes of death worldwide which can be easily diagnosed by listening to the murmur sound of heartbeat sounds using a stethoscope.
Pantea Keikhosrokiani +4 more
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EURASIP Journal on Advances in Signal Processing, 2022 Non-contact heartbeat detection using Doppler radar is extremely valuable for remotely monitoring and medical diagnosis on special occasions. Nevertheless, fast and accurate heart rate (HR) detection endures several challenges due to influential ...
Haipeng Pan, Yongyang Zou, Minming Gu
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A Multi-Target Localization and Vital Sign Detection Method Using Ultra-Wide Band Radar
Sensors, 2023 Life detection technology using ultra-wideband (UWB) radar is a non-contact, active detection technology, which can be used to search for survivors in disaster rescues.
Jingwen Zhang +6 more
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The effects of vibrotactile masking on heartbeat detection: Evidence that somatosensory mechanoreceptors transduce heartbeat sensations [PDF]
Psychophysiology, 2021 AbstractThe ability to detect heartbeat sensations is the most common basis for inferring individual differences in sensitivity to the interoceptive stimuli generated by the visceral activity. While the sensory sources of heartbeat sensations have yet to be identified, there is a growing consensus that visceral sensation, in general, is supported not ...
Kelley Knapp‐Kline +3 more
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ECG Signal Reconstruction via Doppler Sensor by Hybrid Deep Learning Model With CNN and LSTM
IEEE Access, 2020 An Electrocardiogram (ECG) is a typical method used to detect heartbeat, and an ECG signal analysis enables the detection of some heart diseases. However, the ECG-based heartbeat detection requires device attachment, which is not preferred for daily use.
Kohei Yamamoto +2 more
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Heartbeat Dynamics: A Novel Efficient Interpretable Feature for Arrhythmias Classification
IEEE Access, 2023 Arrhythmias are a significant class of cardiovascular diseases, and timely and accurate detection is critical in preventing high-risk events such as sudden cardiac death.
Xunde Dong, Wenjie Si
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Non-Contact Detection of Vital Signs Based on Improved Adaptive EEMD Algorithm (July 2022)
Sensors, 2022 Non-contact vital sign detection technology has brought a more comfortable experience to the detection process of human respiratory and heartbeat signals.
Didi Xu +3 more
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Phonocardiographic sensing using deep learning for abnormal heartbeat detection [PDF]
, 2018 Deep learning-based cardiac auscultation is of significant interest to the healthcare community as it can help reducing the burden of manual auscultation with automated detection of abnormal heartbeats.
Latif, Siddique +3 more
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