[HTML][HTML] An accurate emotion recognition system using ECG and GSR signals and matching pursuit method
Background The purpose of the current study was to examine the effectiveness of Matching
Pursuit (MP) algorithm in emotion recognition. Methods Electrocardiogram (ECG) and …
Pursuit (MP) algorithm in emotion recognition. Methods Electrocardiogram (ECG) and …
Genetic algorithm for the optimization of features and neural networks in ECG signals classification
H Li, D Yuan, X Ma, D Cui, L Cao - Scientific reports, 2017 - nature.com
Feature extraction and classification of electrocardiogram (ECG) signals are necessary for
the automatic diagnosis of cardiac diseases. In this study, a novel method based on genetic …
the automatic diagnosis of cardiac diseases. In this study, a novel method based on genetic …
Consumer neuroscience-based metrics predict recall, liking and viewing rates in online advertising
J Guixeres, E Bigné, JM Ausin Azofra… - Frontiers in …, 2017 - frontiersin.org
The purpose of the present study is to investigate whether the effectiveness of a new ad on
digital channels (YouTube) can be predicted by using neural networks and neuroscience …
digital channels (YouTube) can be predicted by using neural networks and neuroscience …
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 …
A novel ECG-based real-time detection method of negative emotions in wearable applications
Emotion recognition especially negative emotion detection has become a topic of
considerable concern in both scientific research and practical applications. The inherent …
considerable concern in both scientific research and practical applications. The inherent …
Improving the test-retest reliability of resting state fMRI by removing the impact of sleep
Resting state functional magnetic resonance imaging (rs-fMRI) provides a powerful tool to
examine large-scale neural networks in the human brain and their disturbances in …
examine large-scale neural networks in the human brain and their disturbances in …
Indices from lagged poincare plots of heart rate variability: an efficient nonlinear tool for emotion discrimination
Interest in human emotion recognition, regarding physiological signals, has recently risen. In
this study, an efficient emotion recognition system, based on geometrical analysis of …
this study, an efficient emotion recognition system, based on geometrical analysis of …
Instantaneous transfer entropy for the study of cardiovascular and cardiorespiratory nonstationary dynamics
Objective: Measures of transfer entropy (TE) quantify the direction and strength of coupling
between two complex systems. Standard approaches assume stationarity of the …
between two complex systems. Standard approaches assume stationarity of the …
Do men and women have different ECG responses to sad pictures?
Gender differences in emotional experience are the subject of many physiological and
psychological investigations. However, the effect of gender differences on the affective …
psychological investigations. However, the effect of gender differences on the affective …
An emotion recognition approach based on wavelet transform and second-order difference plot of ECG
A Goshvarpour, A Abbasi - Journal of AI and Data Mining, 2017 - jad.shahroodut.ac.ir
Emotion, as a psychophysiological state, plays an important role in human communications
and daily life. Emotion studies related to the physiological signals are recently the subject of …
and daily life. Emotion studies related to the physiological signals are recently the subject of …