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Analysis of Emotional Health using ECG Data Acquisition System

EasyChair Preprint no. 3799

7 pagesDate: July 9, 2020


Our aim is to provide an intelligent system that detects the variation in heart beat to give the precise output, which is its corresponding emotional health, Using Simplified circuitry component's like Arduino, Raspberry pi-3, AD-8232, ECG Electrode. ECG electrode senses the biopotential signals which are given to AD-8232, which will amplify and filter small biopotential signal in the presence of noise. The processed signal is potted on screen using Arduino-UNO, the signals are extracted from Arduino to Raspberry pi-3 to interpret the variations in emotional health.

Keyphrases: Arduino, ECG, Emotions, Heart, heart rate monitor, Pi-3, Raspberry

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Anshif Thajudeen and Prakash Goud and Akanksha Gupta},
  title = {Analysis of Emotional Health using ECG Data Acquisition System},
  howpublished = {EasyChair Preprint no. 3799},

  year = {EasyChair, 2020}}
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