Abstract
Stress destroys the body's equilibrium and causes hormones to be released in an attempt to restore balance and homeostasis. The body's response to stress aids in coping with unexpected changes and preparing for hazards, as chronic stress may be harmful to one's health. Some physical tests or questionnaires that are fully dependent on the data given by the user can also be used to quantify stress. As everyone experiences stress in some way or other. This stress when experienced, gives a higher rate of heartbeat or sweat. Many gadgets focusing on sweat detection as part of the wearable device are available to quantify this stress. Where these wearable devices are easily adaptable. These technologies claim to be able to measure a person's stress in real time. These versatile and portable devices enable in the collecting of continuous human stress data for clinical diagnosis, personal stress monitoring, and mediation. The proposed system can capture real-time stress experienced by the user using biosensors and also provides the physicians with alert messages. This can be tested with healthy subjects, depicting its feasibility for prototyping it in real-time basis.
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Dhanush, K., Janani, P., Pratap Kumar, B., Lakshmi Narayana, H., Teja, K., Avinash, N. (2023). Besuited EEG Signal Analysis for Stress Monitoring Using Bionic Sensor. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Infrastructure and Computing. Lecture Notes in Networks and Systems, vol 520. Springer, Singapore. https://doi.org/10.1007/978-981-19-5331-6_12
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DOI: https://doi.org/10.1007/978-981-19-5331-6_12
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