Heart rate variability in psychology: A review of HRV indices and an analysis tutorial
The use of heart rate variability (HRV) in research has been greatly popularized over the
past decades due to the ease and affordability of HRV collection, coupled with its clinical …
past decades due to the ease and affordability of HRV collection, coupled with its clinical …
A comprehensive review of techniques for processing and analyzing fetal heart rate signals
The availability of standardized guidelines regarding the use of electronic fetal monitoring
(EFM) in clinical practice has not effectively helped to solve the main drawbacks of fetal …
(EFM) in clinical practice has not effectively helped to solve the main drawbacks of fetal …
Kubios HRV–heart rate variability analysis software
MP Tarvainen, JP Niskanen, JA Lipponen… - Computer methods and …, 2014 - Elsevier
Kubios HRV is an advanced and easy to use software for heart rate variability (HRV)
analysis. The software supports several input data formats for electrocardiogram (ECG) data …
analysis. The software supports several input data formats for electrocardiogram (ECG) data …
Emotion recognition using wireless signals
This paper demonstrates a new technology that can infer a person's emotions from RF
signals reflected off his body. EQ-Radio transmits an RF signal and analyzes its reflections …
signals reflected off his body. EQ-Radio transmits an RF signal and analyzes its reflections …
Nonlinear Heart Rate Variability features for real-life stress detection. Case study: students under stress due to university examination
Background This study investigates the variations of Heart Rate Variability (HRV) due to a
real-life stressor and proposes a classifier based on nonlinear features of HRV for automatic …
real-life stressor and proposes a classifier based on nonlinear features of HRV for automatic …
Sleep stage classification from heart-rate variability using long short-term memory neural networks
Automated sleep stage classification using heart rate variability (HRV) may provide an
ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities …
ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities …
Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network
T Wang, C Lu, G Shen, F Hong - PeerJ, 2019 - peerj.com
Sleep apnea (SA) is the most common respiratory sleep disorder, leading to some serious
neurological and cardiovascular diseases if left untreated. The diagnosis of SA is …
neurological and cardiovascular diseases if left untreated. The diagnosis of SA is …
A review of automated sleep stage scoring based on physiological signals for the new millennia
Abstract Background and Objective Sleep is an important part of our life. That importance is
highlighted by the multitude of health problems which result from sleep disorders. Detecting …
highlighted by the multitude of health problems which result from sleep disorders. Detecting …
Complex systems and the technology of variability analysis
AJE Seely, PT Macklem - Critical care, 2004 - Springer
Characteristic patterns of variation over time, namely rhythms, represent a defining feature of
complex systems, one that is synonymous with life. Despite the intrinsic dynamic …
complex systems, one that is synonymous with life. Despite the intrinsic dynamic …
An obstructive sleep apnea detection approach using a discriminative hidden Markov model from ECG signals
Obstructive sleep apnea (OSA) syndrome is a common sleep disorder suffered by an
increasing number of people worldwide. As an alternative to polysomnography (PSG) for …
increasing number of people worldwide. As an alternative to polysomnography (PSG) for …