Acute Mental Stress Measurement using Brain-IoT System

Every individual experience stress of varied intensity while performing daily tasks. Excessive stress can be harmful to human health. Hence, stress assessment is essential in preventing detrimental long-term effects. In this study, we investigate the feasibility of EEG for the measurement of acute mental stress. Also, the post-stress analysis with four distinct cases on stress-induced subjects is carried out. The experiments accomplished were conducted using an EEG headset, ThingSpeak database, and a mobile application. The subject is required to play a mobile game, which induces stress as the game level progresses. This raw EEG data is pre-processed and analyzed in MATLAB and sent over to the ThingSpeak database. When the acute level of stress is detected, the individual gets notified by the mobile application to prompt soothing music and closing eyes. Overall, the experiment concluded with reduced stress levels of the subject after closing eyes with and without music.

[1]  Yunhao Liu,et al.  Internet of Things Meets Brain–Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity , 2018, IEEE Internet of Things Journal.

[2]  W. Maixner,et al.  Beta-endorphin response to exercise and mental stress in patients with ischemic heart disease. , 1993, Journal of psychosomatic research.

[3]  S. Seo,et al.  Stress and EEG , 2010 .

[4]  R. Ajisaka,et al.  Physiologic neuroendocrine arousal by mental arithmetic stress test in healthy subjects. , 1991, The American journal of cardiology.

[5]  Huimin Lu,et al.  BrainNets: Human Emotion Recognition Using an Internet of Brian Things Platform , 2018, 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC).

[6]  Boyan Boykov Petrov,et al.  Brain-computer interface as internet of things device , 2016, 2016 XXV International Scientific Conference Electronics (ET).

[7]  A. K. Blangsted,et al.  The effect of mental stress on heart rate variability and blood pressure during computer work , 2004, European Journal of Applied Physiology.

[8]  Adriana Dapena,et al.  Brain-Computer Interfaces for Internet of Things , 2018, Proceedings.

[9]  Á. Pascual-Leone,et al.  Conscious Brain-to-Brain Communication in Humans Using Non-Invasive Technologies , 2014, Brain Stimulation.

[10]  Kiran George,et al.  Acute Stress Detection and Analysis Using Resonant Field Imaging (RFI) Technique , 2018, 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[11]  Kiran George,et al.  An SSVEP based brain computer interface system to control electric wheelchairs , 2018, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[12]  Leiv Sandvik,et al.  Long-Term Stability of Cardiovascular and Catecholamine Responses to Stress Tests: An 18-Year Follow-Up Study , 2010, Hypertension.

[13]  N. Rohleder.  Stress and inflammation – The need to address the gap in the transition between acute and chronic stress effects , 2019, Psychoneuroendocrinology.

[14]  Mohammad Soleymani,et al.  Short-term emotion assessment in a recall paradigm , 2009, Int. J. Hum. Comput. Stud..

[15]  Nancy E. Adler,et al.  Physical Activity Moderates Effects of Stressor-Induced Rumination on Cortisol Reactivity , 2011, Psychosomatic medicine.

[16]  Kiran George,et al.  Home automation system using brain computer interface paradigm based on auditory selection attention , 2018, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[17]  R. Marois,et al.  Capacity limits of information processing in the brain , 2005, Trends in Cognitive Sciences.

[18]  Tamás D. Gedeon,et al.  Modeling stress recognition in typical virtual environments , 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.

[19]  Emre Ertin,et al.  Continuous inference of psychological stress from sensory measurements collected in the natural environment , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[20]  Javier Andreu-Perez,et al.  A P300-based brain computer interface for smart home interaction through an ANFIS ensemble , 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[21]  Chris Berka,et al.  Real-Time Analysis of EEG Indexes of Alertness, Cognition, and Memory Acquired With a Wireless EEG Headset , 2004, Int. J. Hum. Comput. Interact..

[22]  Carla Gómez-Carrasquilla,et al.  An Internet of Things (IoT) application to control a wheelchair through EEG signal processing , 2017, 2017 International Symposium on Wearable Robotics and Rehabilitation (WeRob).

[23]  M. Kukleta,et al.  Electrodermal complexity during the Stroop Colour Word Test , 2010, Autonomic Neuroscience.