Results 41 to 50 of about 20,563 (280)
Multimodal Body Representation of Obese Children and Adolescents before and after Weight-Loss Treatment in Comparison to Normal-Weight Children. [PDF]
PLoS ONE, 2016 The aim of the study was to investigate whether obese children and adolescents have a disturbed body representation as compared to normal-weight participants matched for age and gender and whether their body representation changes in the course of an ...
Simone Claire Mölbert +8 more
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Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar
Biosensors, 2023 The heart is an important organ that maintains human life activities, and its movement reflects its health status. Utilizing electromagnetic waves as a sensing tool, radar sensors enable noncontact measurement of cardiac motion, offering advantages over ...
Kui Qu, Lei Wei, Rongfu Zhang
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Facilitation of heartbeat self-detection in a choice task [PDF]
International 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
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Automatic Feature Extraction for Heartbeat Anomaly Detection
CoRR, 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
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Remote Monitoring of Human Vital Signs Based on 77-GHz mm-Wave FMCW Radar
Sensors, 2020 In recent years, non-contact radar detection technology has been able to achieve long-term and long-range detection for the breathing and heartbeat signals.
Yong Wang +4 more
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Heartbeat Anomaly Detection using Adversarial Oversampling [PDF]
2019 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
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Heartbeat Detection with complicated Noises Using FMCW Radar [PDF]
, 2021 University of Technology Sydney. Faculty of Engineering and Information Technology.Remote heartbeat detection is particular useful for applications in smart home, digital health, and disaster relief (e.g.
Liu, Jingwei
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Automated and precise heartbeat detection in ballistocardiography signals using bidirectional LSTM
Franklin 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
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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
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Development of Noise-Tolerant Method for Arrhythmia Heartbeat Detection in Ambulatory Electrocardiogram [PDF]
, 2021 三重大学博士(工学)application/pdfCardiovascular diseases have become one of the leading causes of mortality globally, and they are forecasted to remain so in the future.
ZITI, FARIHA BINTI MOHD APANDI
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