Results 21 to 30 of about 18,916 (251)

Detection of irregular heartbeats using tensors [PDF]

open access: yes2015 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
openaire   +2 more sources

A spectrum estimation approach for accurate heartbeat detection using Doppler radar based on combination of FTPR and TWV

open access: yesEURASIP 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
doaj   +1 more source

A Multi-Target Localization and Vital Sign Detection Method Using Ultra-Wide Band Radar

open access: yesSensors, 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
doaj   +1 more source

ECG Signal Reconstruction via Doppler Sensor by Hybrid Deep Learning Model With CNN and LSTM

open access: yesIEEE 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
doaj   +1 more source

Heartbeat Dynamics: A Novel Efficient Interpretable Feature for Arrhythmias Classification

open access: yesIEEE 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
doaj   +1 more source

Non-Contact Detection of Vital Signs Based on Improved Adaptive EEMD Algorithm (July 2022)

open access: yesSensors, 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
doaj   +1 more source

Multimodal Body Representation of Obese Children and Adolescents before and after Weight-Loss Treatment in Comparison to Normal-Weight Children. [PDF]

open access: yesPLoS 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
doaj   +1 more source

Heartbeat counting is unrelated to heartbeat detection: A comparison of methods to quantify interoception [PDF]

open access: yesPsychophysiology, 2018
AbstractRecent research has identified individual differences in interoceptive sensitivity as a key source of variation in action, cognition, and emotion. This research has relied heavily on a single method for assessing interoceptive sensitivity: the accuracy of counting heartbeats while at rest.
Christopher, Ring, Jasper, Brener
openaire   +2 more sources

Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar

open access: yesBiosensors, 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
doaj   +1 more source

Remote Monitoring of Human Vital Signs Based on 77-GHz mm-Wave FMCW Radar

open access: yesSensors, 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
doaj   +1 more source

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