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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |