Nikolova et al., 2018 - Google Patents

ECG-based emotion recognition: Overview of methods and applications

Nikolova et al., 2018

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Document ID
3309496754710726706
Author
Nikolova D
Petkova P
Manolova A
Georgieva P
Publication year
Publication venue
ANNA'18; Advances in Neural Networks and Applications 2018

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This paper presents an overview of recent methods for recognition of human emotions based on Electrocardiogram (ECG) signals and related applications. The major challenges in emotion modeling (affective computing) from ECG data are finding representations that …
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    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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