Design a Prototype for Detecting Abnormalities in Heart Rhythm by Applying Technological Interventions
J. Krishna Chaithanya1, A. Saiakhila2, Y. Pandu Rangaiah3

1Dr.J.Krishna Chaithanya*, Associative Professor, Dept. of ECE, Vardhaman College of Engineering(Autonomus), Affiliated to JNTUH, Shamshabad, Hyderabad, India.
2A.Saiakhila, Student Dept. of ECE, Vardhaman College of Engineering(Autonomus), Affiliated to JNTUH, Shamshabad,  Hyderabad, India.
3Prof. Y.Pandu Rangaiah, Professor, Dept. of ECE, Vardhaman College of Engineering (Autonomus), Affiliated to JNTUH, shamshabad, 501218,Hyderabad, India.

Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 2265-2268 | Volume-9 Issue-1, November 2019. | Retrieval Number: A5175119119/2019©BEIESP | DOI: 10.35940/ijitee.A5175.119119
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Abstract: This paper demonstrates the basic dialogue for heart rhythm examination of arrhythmia patients who’s heart beat is conventionally irregular. In this approach, designed a device which supervises and record the heart beat by evaluating the PQRS complexes. Despite the fact as alone, there are many ECG devices which examine the heart rhythm but they are little precise because, firstly they are not taking the live data for analysis of PQRS complexes inspite many hospital clinic’s are taking pre-loaded heart rhythm from few days and months and analysis is done on the data either by mathematical theorems or else by using other techniques like wavelet theorem, matlab etc. Here, focus is mainly on analysis of pqrs complexes from live data. Internet of things is been far-flung technology in extant days. So by IoT the heart rhythm and PQRS values are been displaying on web so that doctor monitor patient data up-to-date from anywhere and at any time. The device has been implemented and evaluated by using the Heart beat sensor AD8232, Raspberry Pi 3 b board, Arduino Uno, Python programming.
Keywords: Heart Beat Sensor, Arduino Uno, Raspberry Pi, Heart Rhythm, Python.
Scope of the Article: Adhoc and Sensor Networks