A survey on ECG analysis

SK Berkaya, AK Uysal, ES Gunal, S Ergin… - … Signal Processing and …, 2018 - Elsevier
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 …

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 …

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 …

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 …

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 …

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 …

Fusion of heart rate variability and pulse rate variability for emotion recognition using lagged poincare plots

A Goshvarpour, A Abbasi, A Goshvarpour - Australasian physical & …, 2017 - Springer
Designing an efficient automatic emotion recognition system based on physiological signals
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 …

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 …

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 …