Open AccessDATA ANALYTICS APPROACH FOR HEALTH MONITORING USING WEARABLE SENSOR
Author(s) -
S.Dilip Kumar
Publication year - 2021
Publication title -
information technology in industry/information technology in industry
Language(s) - English
Resource type - Journals
eISSN - 2204-0595
pISSN - 2203-1731
DOI - 10.17762/itii.v9i2.453
Subject(s) - analytics , wearable computer , data science , computer science , data analysis , wearable technology , health care , software analytics , work (physics) , software , human–computer interaction , data mining , engineering , software development , embedded system , economics , economic growth , mechanical engineering , software construction , programming language
In this age of technological advancement, individuals are becoming less involved incompletion their physical work. Tele medicine plays an important role in the new trend, promoting the transition of health care services from clinic-centered to patient-centered with the aid of omnipresent social connectivity. One of the applications facilitated by data analysis is the continuous health management frame work. Wearable sensor devices used in Data Analytics have continuously produced an enormous amount of data for the health monitoring system. The speed of data generation for data analytics equipment is very high, so the amount of data generated from it is also high. In order to track critical parameters such as blood pressure, body temperature, pulse rate, the sensor is integrated with humans. The approach of data analytics compares the health parameter of the person and, if necessary, makes a decision. This approach provides the healthcare provider with a quick but powerful and reliable communication tool to have the solution in hand before the situation gets worse. Proteus professional software has been used to execute the concept.