Wearable ECG Monitoring System and Data Analysis

Authors

  • M. Marudhapandi  B.E Scholar, Computer Science and Engineering, Akshaya college of Engineering and Technology, Kinathukadavu, India
  • D. Ramkumar  B.E Scholar, Computer Science and Engineering, Akshaya college of Engineering and Technology, Kinathukadavu, India
  • R. Ramkumar  B.E Scholar, Computer Science and Engineering, Akshaya college of Engineering and Technology, Kinathukadavu, India
  • S. Jeevanandham  Assistant Professor, Computer Science and Engineering, Akshaya college of Engineering and Technology, Kinathukadavu, India
  • Dr. N. Suguna  Professor, Computer Science and Engineering, Akshaya college of Engineering and Technology, Kinathukadavu, India

Keywords:

AD8232, IoT, ESP8266, Arduino, HTTP, Cloud, Heart Rate Monitoring

Abstract

Continuous ECG data monitoring with IoT will be a platform for the healthcare industry, which will enable doctors with quicker, smarter and effective methods of diagnosis. Statistical Analysis of Real time monitoring of patients and feeding the monitored data to the internet is going to be one of the big things in future. IoT Healthcare can be used for critical patients needs to be under continuous observation; especially in the absence or unavailability of medical doctor. Early detection of diseases is possible with IoT Healthcare applications and the doctor can be notified immediately. IoT healthcare has a wide range of applications like Heart-rate monitoring, ECG monitoring, bloodpressure monitoring, etc. ECG monitoring with IoT and the methodology of its implementation. It is proposed and implemented a Smart healthcare application using a IoT system based on AD8232 heart rate sensor interfaced with Arduino UNO and further connected to Cloud using an ESP8266 Wireless LAN Module. The data collected from the sensors are updated in the cloud without identity. The aggregated data can be made available to the doctors for their research and studies. Data analysis tools will be used to interpret and present the data. Since dates are update in the cloud the availability is ensured and by hiding the identity, confidentiality is maintained. Thus continuous monitoring of patients through IoT will help both patients to maintain the health and doctors to diagnose the disease or predict the cause of the disease.

References

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Published

2019-03-30

Issue

Section

Research Articles

How to Cite

[1]
M. Marudhapandi, D. Ramkumar, R. Ramkumar, S. Jeevanandham, Dr. N. Suguna, " Wearable ECG Monitoring System and Data Analysis, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.667-673, March-April-2019.