Results 31 to 40 of about 18,916 (251)

The effects of vibrotactile masking on heartbeat detection: Evidence that somatosensory mechanoreceptors transduce heartbeat sensations [PDF]

open access: yesPsychophysiology, 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
openaire   +2 more sources

Automated and precise heartbeat detection in ballistocardiography signals using bidirectional LSTM

open access: yesFranklin Open, 2022
Ballistocardiography (BCG) provides an unobtrusive, mechanical measurement of heartbeat for early detection and longitudinal monitoring of cardiovascular conditions, although it is plagued by poor signal to noise ratio.
Shiyu Zhang   +3 more
doaj   +1 more source

Convolutional Autoencoding and Gaussian Mixture Clustering for Unsupervised Beat-to-Beat Heart Rate Estimation of Electrocardiograms from Wearable Sensors

open access: yesSensors, 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   +1 more source

Heartbeat Anomaly Detection using Adversarial Oversampling [PDF]

open access: yes2019 International Joint Conference on Neural Networks (IJCNN), 2019
Cardiovascular diseases are one of the most common causes of death in the world. Prevention, knowledge of previous cases in the family, and early detection is the best strategy to reduce this fact. Different machine learning approaches to automatic diagnostic are being proposed to this task.
Jefferson L. P. Lima   +2 more
openaire   +2 more sources

Automatic Feature Extraction for Heartbeat Anomaly Detection

open access: yesCoRR, 2021
We focus on automatic feature extraction for raw audio heartbeat sounds, aimed at anomaly detection applications in healthcare. We learn features with the help of an autoencoder composed by a 1D non-causal convolutional encoder and a WaveNet decoder trained with a modified objective based on variational inference, employing the Maximum Mean Discrepancy
Robert-George Colt   +3 more
openaire   +2 more sources

A Real Time and Lossless Encoding Scheme for Patch Electrocardiogram Monitors

open access: yesApplied Sciences, 2018
Cardiovascular diseases are the leading cause of death worldwide. Due to advancements facilitating the integration of electric and adhesive technologies, long-term patch electrocardiogram (ECG) monitors (PEMs) are currently used to conduct daily ...
Hong-Wen Fang, Chih-Cheng Lu
doaj   +1 more source

Heart rate monitoring of physical fitness training load based on wavelet transform

open access: yesThe Journal of Engineering, 2022
The detection of fluctuations is a crucial step in the process of isolating heart rate oscillation signals. This is necessary to circumvent the issue wherein a variety of auditory signals will invariably interfere with the collection of centre velocity ...
Feng Zhao   +2 more
doaj   +1 more source

Facilitation of heartbeat self-detection in a choice task [PDF]

open access: yesInternational Journal of Psychophysiology, 2003
Brener and Kluvitse (Psychophysiology 25 (1988) 554) developed a heartbeat self-detection task in which subjects are required to judge the simultaneity of heartbeat sensations and tones presented at six intervals following the onset of each ventricular contraction (0, 100, 200, 300, 400 or 500 ms).
A, Acosta, J, Pegalajar
openaire   +2 more sources

A Unified Methodology for Heartbeats Detection in Seismocardiogram and Ballistocardiogram Signals [PDF]

open access: yesComputers, 2020
This work presents a methodology to analyze and segment both seismocardiogram (SCG) and ballistocardiogram (BCG) signals in a unified fashion. An unsupervised approach is followed to extract a template of SCG/BCG heartbeats, which is then used to fine-tune temporal waveform annotation.
Niccolò Mora   +3 more
openaire   +5 more sources

Behavioral Analysis of Noise and Bandwidth Specifications of Heartbeat Detection Circuits for Ultra Low Power Devices

open access: yesIEEE Access, 2023
This paper presents the behavioral modeling of three circuit architectures, which are suitable for heartbeat detection in wireless healthcare applications.
Rafael Vieira   +4 more
doaj   +1 more source

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