Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals

Examining mental health is crucial for preventing mental illnesses such as depression. This study presents a method for classifying electrocardiogram (ECG) data into four emotional states according to the stress levels using one-against-all and naive Bayes algorithms of a support vector machine. The...

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Detalles Bibliográficos
Autores principales: Kang, Mingu, Shin, Siho, Zhang, Gengjia, Jung, Jaehyo, Kim, Youn Tae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659646/
https://www.ncbi.nlm.nih.gov/pubmed/34883920
http://dx.doi.org/10.3390/s21237916

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659646/
https://www.ncbi.nlm.nih.gov/pubmed/34883920
http://dx.doi.org/10.3390/s21237916

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