Heart rate variability for medical decision support systems: A review
Abstract Heart Rate Variability (HRV) is a good predictor of human health because the heart
rhythm is modulated by a wide range of physiological processes. This statement embodies …
rhythm is modulated by a wide range of physiological processes. This statement embodies …
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 …
Fractal dimension of EEG signals and heart dynamics in discrete emotional states
In this study, we explored the fractal dimension (FD; a measure of signal complexity) of 28
EEG channels with positive and negative emotional states. The EEG of participants and their …
EEG channels with positive and negative emotional states. The EEG of participants and their …
A novel approach for EEG electrode selection in automated emotion recognition based on Lagged Poincare's Indices and sLORETA
The goal of this paper was to develop a novel method to track emotional processing in
different brain regions using electroencephalogram (EEG) analysis. In addition, the role of …
different brain regions using electroencephalogram (EEG) analysis. In addition, the role of …
Novel high-dimensional phase space features for EEG emotion recognition
Currently, a fundamental role of emotion recognition is apparent in both medical and non-
medical applications. The current work envisioned providing novel procedures to …
medical applications. The current work envisioned providing novel procedures to …
Poincaré's section analysis for PPG-based automatic emotion recognition
Given the importance and abundant use of emotional recognition in the human–computer
interfaces and multimedia applications, several methods for designing such systems have …
interfaces and multimedia applications, several methods for designing such systems have …
Schizophrenia diagnosis using innovative EEG feature-level fusion schemes
Electroencephalogram (EEG) has become a practical tool for monitoring and diagnosing
pathological/psychological brain states. To date, an increasing number of investigations …
pathological/psychological brain states. To date, an increasing number of investigations …
Fusion of heart rate variability and pulse rate variability for emotion recognition using lagged poincare plots
Designing an efficient automatic emotion recognition system based on physiological signals
has attracted great interests within the research of human–machine interactions. This study …
has attracted great interests within the research of human–machine interactions. This study …
Non-contact dual-modality emotion recognition system by CW radar and RGB camera
Emotion recognition has a significant impact on people's health and life quality. Recent
studies have shown that emotion recognition can be achieved by analyzing audio-visual …
studies have shown that emotion recognition can be achieved by analyzing audio-visual …
The potential of photoplethysmogram and galvanic skin response in emotion recognition using nonlinear features
Recently, develo** an accurate automatic emotion recognition system using a minimum
number of bio-signals has become a challenging issue in “affective computing.” This study …
number of bio-signals has become a challenging issue in “affective computing.” This study …