Volume 17, No. 1, 2020
Iot Enabled Health Monitoring Using WBAN Sensors In Non-Invasive Remote Environment
Dr. Syed Khasim , Dr. Shaik Shakeer Basha
Abstract
The WBAN (Wireless Body Area Network) (inside and outside of the human body 1-2meters) is used to develop intelligent health care systems that predict unusual conditions Pre-Hand by sending alerts to caregivers / users who monitor information according to a doctor's prescription by prescribing prescribed medications, with non-invasive sensors (SP02, ECG, Heart-Rate, Temperature and Gluco meter) connected to Arduino. Data from the sensor is digitized and transmitted to a physician using Zigbee data analyst using the Raspberry Pias laptop computer and adapts to health conditions (using regular / unusual switches). Using Bluetooth sensor data is sent simultaneously from sender to user and received via built-in Bluetooth. Module on cell phones and is displayed in the APP. Procedures include hearing data, transferring it to a doctor and receiving data in the APP to which the doctor and patient are connected. Hardware modules focus on size, cost and non-abrasive non-invasive wearable. Python and Embedded C are pre-requisites for the Raspberry Pi system and Arduino boards.
Pages: 482-491
Keywords: IoT, WBAN Sensors, Arduino UNO, Non-Invasive Remote Environment, Prediction.