IoT Based Heart Attack Early Prediction

Authors

  • Shweta Gajbhiye  Assistant Professor, Department of Computer Science and Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Bharati Vyas  BE, Department of Computer Science and Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Shrushti Shrikhande  BE, Department of Computer Science and Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Anshika Janbandhu  BE, Department of Computer Science and Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Komal Nagpure  BE, Department of Computer Science and Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Mrunali Agashe  BE, Department of Computer Science and Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India

Keywords:

Heart Attack, IoT (Internet Of Things), Health Parameters, Heart Disease Prediction, Oximeter, Heart rate sensor, Android App.

Abstract

Heart attack is most common disease that engulfs the patient’s precious life. This disease attacks a man so in a flash that it barely gets treated. Many systems that detect heart attack came into the picture but they do have many flaws. Some system does not work properly in cold weather and other doesn’t give accuracy. To have a solution for Heart attack utilization of IoT and sensor system could be beneficial. Heart Attack Early Prediction System predicts the Heart rate and accordingly sends the notification to the patient’s doctor and acquaintances.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-02-28

Issue

Volume 5, Issue 1, January-February-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shweta Gajbhiye, Bharati Vyas, Shrushti Shrikhande, Anshika Janbandhu, Komal Nagpure, Mrunali Agashe, " IoT Based Heart Attack Early Prediction, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.448-451, January-February-2019.