Performance Evaluation of EEG Based Mental Stress Assessment Approaches for Wearable Devices.

Ubaid M Al-Saggaf,Sulhi Ali Alfakeh,Syed Faraz Naqvi,Muhammad Moinuddin,Syed Saad Azhar Ali

doi:10.3389/fnbot.2021.819448

Ubaid M Al-Saggaf, Sulhi Ali Alfakeh + Show 3 more

Open Access

https://doi.org/10.3389/fnbot.2021.819448

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Abstract

Mental stress has been identified as the root cause of various physical and psychological disorders. Therefore, it is crucial to conduct timely diagnosis and assessment considering the severe effects of mental stress. In contrast to other health-related wearable devices, wearable or portable devices for stress assessment have not been developed yet. A major requirement for the development of such a device is a time-efficient algorithm. This study investigates the performance of computer-aided approaches for mental stress assessment. Machine learning (ML) approaches are compared in terms of the time required for feature extraction and classification. After conducting tests on data for real-time experiments, it was observed that conventional ML approaches are time-consuming due to the computations required for feature extraction, whereas a deep learning (DL) approach results in a time-efficient classification due to automated unsupervised feature extraction. This study emphasizes that DL approaches can be used in wearable devices for real-time mental stress assessment.

Highlights

Mental stress is the most common cause of psychological and physiological disorders in the human body
The behavior of Machine learning (ML) techniques is analyzed in order to evaluate the suitability of the mental stress assessment algorithm for wearable devices
The assessment using conventional ML algorithms were based on pre-processing of EEG signals, band extraction, feature extraction, and classification, while the convolutional neural network (CNN) based approach was applied on raw EEG signal with automatic feature extraction and assessment

Summary

Introduction

Mental stress is the most common cause of psychological and physiological disorders in the human body. The human body functions abnormally under stress because it perceives that its resources have been compromised due to alien conditions. This initiates a chain reaction that might affect the normal functioning of essential organs (Rozanski et al, 1999). Mental stress can arise due to various situations or conditions. Workplace, social meeting, and presentation are common places or situations in which people tend to get stressed. Immunological disorders are often linked to mental stress when a person is unable to handle it Yaribeygi et al (2017)

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