A Review of Algorithms for Mental Stress Analysis Using EEG Signal
- Title
- A Review of Algorithms for Mental Stress Analysis Using EEG Signal
- Creator
- Maria S.; Chandra J.; Banerjee B.; Rangaswamy M.
- Description
- Mental stress is an enduring problem in human life. The level of stress increases exponentially with an increase in the complexity of work life. Hence, it is imperative to understand the causes of stress, a prerequisite of which is the ability to determine the level of stress. Electroencephalography (EEG) has been the most widely used signal for understanding stress levels. However, EEG signal is useful only when appropriate algorithms can be used to extract the properties relevant to stress analysis. This paper reviews algorithms for preprocessing, feature extraction and learning, and classification of EEG, and reports on their advantages and disadvantages for stress analysis. This review will help researchers to choose the most effective pipeline of algorithms for stress analysis using EEG signals. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Smart Innovation, Systems and Technologies, Vol-251, pp. 561-568.
- Date
- 2022-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Brain signal; EEG; Stress classification
- Coverage
- Maria S., Department of Computer Science, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Chandra J., Department of Computer Science, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Banerjee B., Institute for Intelligent Systems, and Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN, United States; Rangaswamy M., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 21903018; ISBN: 978-981163944-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Maria S.; Chandra J.; Banerjee B.; Rangaswamy M., “A Review of Algorithms for Mental Stress Analysis Using EEG Signal,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20445.