Publication guidelines for human heart rate and heart rate variability studies in psychophysiology—Part 1: Physiological underpinnings and foundations of …
Abstract This Committee Report provides methodological, interpretive, and reporting
guidance for researchers who use measures of heart rate (HR) and heart rate variability …
guidance for researchers who use measures of heart rate (HR) and heart rate variability …
Heart rate variability monitoring for emotion and disorders of emotion
J Zhu, L Ji, C Liu - Physiological measurement, 2019 - iopscience.iop.org
Background: Emotion is composed of cognitive processing, physiological response and
behavioral reaction. Heart rate variability (HRV) refers to the fluctuations between …
behavioral reaction. Heart rate variability (HRV) refers to the fluctuations between …
Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020
Objective: Vast 12-lead ECGs repositories provide opportunities to develop new machine
learning approaches for creating accurate and automatic diagnostic systems for cardiac …
learning approaches for creating accurate and automatic diagnostic systems for cardiac …
Wearable photoplethysmography for cardiovascular monitoring
Smart wearables provide an opportunity to monitor health in daily life and are emerging as
potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands …
potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands …
Wearable flexible electronics based cardiac electrode for researcher mental stress detection system using machine learning models on single lead electrocardiogram …
In the modern world, wearable smart devices are continuously used to monitor people's
health. This study aims to develop an automatic mental stress detection system for …
health. This study aims to develop an automatic mental stress detection system for …
Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
The photoplethysmogram (PPG) signal is widely used in pulse oximeters and smartwatches.
A fundamental step in analysing the PPG is the detection of heartbeats. Several PPG beat …
A fundamental step in analysing the PPG is the detection of heartbeats. Several PPG beat …
Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet
Arterial pulse waves (PWs) such as blood pressure and photoplethysmogram (PPG) signals
contain a wealth of information on the cardiovascular (CV) system that can be exploited to …
contain a wealth of information on the cardiovascular (CV) system that can be exploited to …
Sequence to sequence ECG cardiac rhythm classification using convolutional recurrent neural networks
This paper proposes a novel deep learning architecture involving combinations of
Convolutional Neural Networks (CNN) layers and Recurrent neural networks (RNN) layers …
Convolutional Neural Networks (CNN) layers and Recurrent neural networks (RNN) layers …
Assessment of the human response to acute mental stress–An overview and a multimodal study
Numerous vital signs are reported in association with stress response assessment, but their
application varies widely. This work provides an overview over methods for stress induction …
application varies widely. This work provides an overview over methods for stress induction …
Heart rate variability analysis on electrocardiograms, seismocardiograms and gyrocardiograms on healthy volunteers
Physiological variation of the interval between consecutive heartbeats is known as the heart
rate variability (HRV). HRV analysis is traditionally performed on electrocardiograms (ECG …
rate variability (HRV). HRV analysis is traditionally performed on electrocardiograms (ECG …