Innovative Wearable EEG Solution for Stress Assessment and Control
In this work, wearable electroencephalogram (EEG) technology is investigated as a cutting-edge stress assessment and treatment method. An increasing number of people require simple, practical methods for monitoring and managing their stress levels because of the increasing prevalence of illnesses associated with stress. Wearable electroencephalography (EEG) devices offer a feasible path for the high temporal resolution monitoring of stress circumstances by permitting real-time, noninvasive brain activity measurements. This abstract examines the current status of wearable EEG technology, emphasizing how advancements in sensor technology, hardware downsizing, and signal processing techniques have made it simpler to integrate EEG monitoring into everyday life. The project also investigates the utility of EEG-based Brain-Computer Interfaces (BCIs) for stress detection and control, as well as the potential of EEG signals as biomarkers for stress-related cognitive processes. The paper also covers the methodological aspects of implementing EEG-based stress assessment protocols, including feature extraction, signal processing algorithms, and machine learning techniques for stress prediction. The end of the abstract discusses the therapeutic applications of wearable EEG devices in stress management therapy and points to potential directions for future study in this rapidly emerging field. Because wearable electroencephalography (EEG) technology offers new insights into the neurophysiological foundation of stress and makes individualized therapies based on individual stress profiles possible, it has the potential to completely transform paradigms for stress measurement and regulation.
Authors
- Bhavna Ambudkar (ORCID: https://orcid.org/0000-0001-9744-836X)
- Ajay Patel
- Arvind Jadhav
- Prerna Zagade
- Shravan Ambudkar
Institutions
- Symbiosis International University (IN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/icisaa62385.2024.10828600
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00