Abstract
Nowadays, the advancement in technology is seen replacing the existing methodologies with the intelligent ones in the modern health care system. The main perspective of this proposed work is to monitor the vital parameters of the patient continuously, which is very helpful in controlling chronic diseases. In this paper, an emphasized version of fall recognition is introduced to monitor the stance of a senior citizen or a physically handicapped. Along with this, breathing, heartbeat, and temperature of a person are also monitored to know the patient condition. The sensing elements in this work are temperature sensor (LM35), sound sensor, microelectromechanical system (MEMS) sensor, and pulse sensor, these sensor parameters are given to Raspberry Pi and it will communicate with the cloud, where the monitored data are stored. Whenever an abnormal value is observed, Twilio will send SMS to the mobile of caretaker or doctor.
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Priyanka, J.S., Kiran, M.S., Nalla, P. (2022). A Secured IoT-Based Health Care Monitoring System Using Body Sensor Network. In: Marriwala, N., Tripathi, C.C., Jain, S., Mathapathi, S. (eds) Emergent Converging Technologies and Biomedical Systems . Lecture Notes in Electrical Engineering, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-16-8774-7_39
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DOI: https://doi.org/10.1007/978-981-16-8774-7_39
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