Results 21 to 30 of about 60,130 (290)
Heartbeat and Somatosensory Perception [PDF]
NeuroImage, 2020 Abstract Our perception of the external world is influenced by internal bodily signals. For example, we recently showed that timing of stimulation along the cardiac cycle and spontaneous fluctuations of heartbeat-evoked potential (HEP) amplitudes influence somatosensory perception and the associated neural processing (Al et al., 2020 ...
Esra Al +3 more
openaire +5 more sources
European Journal of Cardiovascular Nursing, 2018 Geraldine, Lee, Barbro, Kjellström
+12 more sources
Electrically driven heartbeat effect of gallium-based liquid metal on a ratchet
Frontiers in Bioengineering and Biotechnology, 2023 The realization of the liquid metal heartbeat effect shows better controllability under non-periodic stimuli than spontaneous oscillation or periodic stimuli.
Shutong Wang +6 more
doaj +1 more source
Peak Detection Algorithm for Vital Sign Detection Using Doppler Radar Sensors
Sensors, 2019 An accurate method for detecting vital signs obtained from a Doppler radar sensor is proposed. A Doppler radar sensor can remotely obtain vital signs such as heartbeat and respiration rate, but the vital signs obtained by using the sensor do not show ...
Ju-Yeon Kim +3 more
doaj +1 more source
Spectrogram-Based Non-Contact RRI Estimation by Accurate Peak Detection Algorithm
IEEE Access, 2018 Demands for vital sign monitoring are increasing in the field of health care. In particular, the R-R Interval (RRI) estimation has been studied extensively, since the RRI variation is highly related with the stress of a subject.
Kohei Yamamoto +2 more
doaj +1 more source
Nihon Kikai Gakkai ronbunshu, 2014 Sleep monitoring provides useful information for keeping a good health condition and detecting diseases. The monitoring system should not interfere with natural sleep, and be an existence that is almost unnoticed by the person being measured, to be used ...
Toshiharu MUKAI +4 more
doaj +1 more source
CoRR, 2019 Obtaining sound inferences over remote networks via active or passive measurements is difficult. Active measurement campaigns face challenges of load, coverage, and visibility. Passive measurements require a privileged vantage point. Even networks under our own control too often remain poorly understood and hard to diagnose.
Beverly, Robert, Allman, Mark
openaire +4 more sources
AJN, American Journal of Nursing, 2021 When a mother's mental state rapidly worsens during the pandemic, her daughter brings her home.
openaire +3 more sources
Oneshot Heartbeat Detection Task
This study aims to refine the measurement of cardiac interoceptive awareness by addressing the limitations of traditional heartbeat counting and discrimination tasks, which often suffer from estimation bias and divided attention.
Yusuke Haruki
core +6 more sources
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
core +1 more source