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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Detection and Analysis of Heartbeats in Seismocardiogram Signals [PDF]
Sensors, 2020 This paper presents an unsupervised methodology to analyze SeismoCardioGram (SCG) signals. Starting from raw accelerometric data, heartbeat complexes are extracted and annotated, using a two-step procedure. An unsupervised calibration procedure is added to better adapt to different user patterns. Results show that the performance scores achieved by the
Niccolò Mora +3 more
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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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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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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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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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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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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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Precision medicine and artificial intelligence : a pilot study on deep learning for hypoglycemic events detection based on ECG [PDF]
, 2020 Tracking the fluctuations in blood glucose levels is important for healthy subjects and crucial diabetic patients. Tight glucose monitoring reduces the risk of hypoglycemia, which can result in a series of complications, especially in diabetic patients ...
Pecchia, Leandro +3 more
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