A survey on ECG analysis
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
Physiological signals based human emotion recognition: a review
S Jerritta, M Murugappan… - 2011 IEEE 7th …, 2011 - ieeexplore.ieee.org
Recent research in the field of Human Computer Interaction aims at recognizing the user's
emotional state in order to provide a smooth interface between humans and computers. This …
emotional state in order to provide a smooth interface between humans and computers. This …
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration
O Attallah - Computers in biology and medicine, 2022 - Elsevier
The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of
the virus, alleviate lockdown constraints and diminish the burden on health organizations …
the virus, alleviate lockdown constraints and diminish the burden on health organizations …
Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy
W Li, Z Zhang, A Song - Measurement, 2021 - Elsevier
Exploration on emotions continues from past to present. Nowadays, with the rapid
advancement of intelligent technology, computer-aided emotion recognition using …
advancement of intelligent technology, computer-aided emotion recognition using …
An intelligent system for livestock disease surveillance
O Yazdanbakhsh, Y Zhou, S Dick - Information Sciences, 2017 - Elsevier
Currently, cattle in feedlots are monitored for disease through a manual, labour-intensive
process. Physical checkups are administered approximately once per week, and pen riders …
process. Physical checkups are administered approximately once per week, and pen riders …
EMG characterization and processing in production engineering
M Olmo, R Domingo - Materials, 2020 - mdpi.com
Electromyography (EMG) signals are biomedical signals that measure electrical currents
generated during muscle contraction. These signals are strongly influenced by physiological …
generated during muscle contraction. These signals are strongly influenced by physiological …
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 …
Review on stimuli presentation for affect analysis based on EEG
P Sarma, S Barma - IEEE Access, 2020 - ieeexplore.ieee.org
This work presents a comprehensive review on stimuli presentation, which is an important
stage of any emotion elicitation experiment in affect analysis. Due to lack of standard …
stage of any emotion elicitation experiment in affect analysis. Due to lack of standard …
Unimodal approaches for emotion recognition: A systematic review
PS Tomar, K Mathur, U Suman - Cognitive Systems Research, 2023 - Elsevier
Affective computing is a rising interdisciplinary field of research spanning the areas from
artificial intelligence, natural language processing to cognitive and social sciences. Potential …
artificial intelligence, natural language processing to cognitive and social sciences. Potential …
Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT)
M Murugappan, S Murugappan… - Journal of physical …, 2013 - jstage.jst.go.jp
[Purpose] Intelligent emotion assessment systems have been highly successful in a variety
of applications, such as e-learning, psychology, and psycho-physiology. This study aimed to …
of applications, such as e-learning, psychology, and psycho-physiology. This study aimed to …