Classification of emotional states from electrocardiogram signals: a non-linear approach based on hurst

BACKGROUND: Identifying the emotional state is helpful in applications involving patients with autism and other intellectual disabilities; computer-based training, human computer interaction etc. Electrocardiogram (ECG) signals, being an activity of the autonomous nervous system (ANS), reflect the u...

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Detalles Bibliográficos
Autores principales: Selvaraj, Jerritta, Murugappan, Murugappan, Wan, Khairunizam, Yaacob, Sazali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680185/
https://www.ncbi.nlm.nih.gov/pubmed/23680041
http://dx.doi.org/10.1186/1475-925X-12-44

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680185/
https://www.ncbi.nlm.nih.gov/pubmed/23680041
http://dx.doi.org/10.1186/1475-925X-12-44

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