In the present modern world, the number of health issues happening in our is growing day by day. This is becoming a great challenge for people's life. Monitoring heart rate is very important now days to save the people from heart attack. Here we proposed new advanced health monitoring and Heart attack detection with IOT based application in this paper. This proposed cardiac health monitoring system is integrated of all sensor components Temperature, humidity, tilt sensor, pulse sensor to the processing module called the raspberry module. The temperature sensor captures the patient body temperature and gives it to the processing module. The humidity sensor will tell you the room humidity hall, the tilt sensor is used to motion capture of the adult person. IOT supported application for monitoring of smart Health Monitoring system from remote location. We track the health of the person in app, When the High heart rate or Low Heart rate detected the app will be update as per current status. Buzzer will alert physically. We used Raspberry Pi processor for advanced heart attack detection system with Python IDE Software for designing this model.

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Prediction of Heart Disease Using Raspberry PI

  • P. Rajesh,
  • D. Sudha,
  • G. Lavanya,
  • E. N. V. Purna Chandra Rao,
  • K. Srujan Raju,
  • Voruganti Naresh Kumar

摘要

In the present modern world, the number of health issues happening in our is growing day by day. This is becoming a great challenge for people's life. Monitoring heart rate is very important now days to save the people from heart attack. Here we proposed new advanced health monitoring and Heart attack detection with IOT based application in this paper. This proposed cardiac health monitoring system is integrated of all sensor components Temperature, humidity, tilt sensor, pulse sensor to the processing module called the raspberry module. The temperature sensor captures the patient body temperature and gives it to the processing module. The humidity sensor will tell you the room humidity hall, the tilt sensor is used to motion capture of the adult person. IOT supported application for monitoring of smart Health Monitoring system from remote location. We track the health of the person in app, When the High heart rate or Low Heart rate detected the app will be update as per current status. Buzzer will alert physically. We used Raspberry Pi processor for advanced heart attack detection system with Python IDE Software for designing this model.