Title of article :
Iot Enabled Health Monitoring Using WBAN Sensors In Non-Invasive Remote Environment
Author/Authors :
khasim, syed dr.samuel george institute of engineering technology - department of computer science engineering, Markapur, India , basha, shaik shakeer avanthi institute of engineering technology - department of computer science engineering, Hyderabad, india
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.
Keywords :
IoT , WBAN Sensors , Arduino UNO , Non , Invasive Remote Environment , Prediction