# A deep learning approach for assessing stress levels in patients using electroencephalogram signals

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-approach-for-assessing-stress-levels-in-patients-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shaleen Bhatnagar,Sarika Khandelwal,Shruti Jain,Harsha Vyawahare |
| Citations | 30 |
| DOI | 10.1016/j.dajour.2023.100211 |
| Fields | Medicine,Neuroscience,Psychology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.dajour.2023.100211 |
| OpenAlex ID | https://openalex.org/W4361295913 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Sarika Khandelwal](https://scholariq.org/researchers/sarika-khandelwal/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)
- [Heart Rate Variability and Autonomic Control](https://scholariq.org/topics/heart-rate-variability-and-autonomic-control/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.