Abstract
Stress is the human body’s response to various factors such as mental, physical, or emotional pressure. Coronavirus Disease 2019 pandemic has disrupted the mental health of most people worldwide. Stress plays a crucial role in corona virus disease patients during their medication period. Therefore, a remote mental health monitoring system has become a necessity. The physiological data captured using body sensors can provide rich information about the stress experienced by a person. Paper proposes a personalized stress indicator for monitoring a person’s mental health through a personalized healthcare platform. The physiological data from body sensors such as the galvanic skin response sensor, electrocardiogram module, and accelerometer module are sent in real-time to an Internet of things platform, ‘ThingSpeak.’ In the ThingSpeak platform, MATLAB analysis is performed to calculate the baseline threshold value of each user. Then, the stress percentage is evaluated based on the data rate above the threshold. The stress percentage is displayed on an output channel of the ThingSpeak platform. It enables remote monitoring of patients’ mental health by sending the health updates to the doctor or caretaker through email.
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Jyotsna, C., Amudha, J., Uday, S. (2022). A Personalized Healthcare Platform for Monitoring Mental Health of a Person During COVID. In: Bashir, A.K., Fortino, G., Khanna, A., Gupta, D. (eds) Proceedings of International Conference on Computing and Communication Networks. Lecture Notes in Networks and Systems, vol 394. Springer, Singapore. https://doi.org/10.1007/978-981-19-0604-6_26
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DOI: https://doi.org/10.1007/978-981-19-0604-6_26
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