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MY KARDIO

LoRaWAN-Based Monitoring System for Cardiovascular Disease Patient with Auto-Diagnosis Features

 

BACKGROUND:

- Cardiovascular disease is number one killer in the world, causing 1/4 death of humans (CDC Reports, 2015)

 

- Bad quality of healthcare services in Indonesia, with doctor to residence ratio is 43:100,000 (MoH RI, 2015 ) Many case are unhandied property

 

- Medical specialist are very rare in rural areas comparing in big cities (MoH RI, 2017)

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PATIENT SITE

 

 

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INTERNET CLOUD

 

 

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APPLICATION

• Nurse in rural clinic checks patient’s health with EKG &
sphygmomanometer.  

 

My Kardio platform collects and stores the data and presents them in mobile & website app.

 

The doctor in the city receives the patient’s data (in the mobile & website app) and performs the diagnosis based on his/her expertise.

• EKG & sphygmomanometer are connected to IoT gateway via USB port.

• IoT gateway collects the data and perform auto-diagnosis with artificial intelligent (AI).

• The data & information will be sent them to My Kardio platform.

 

       

Trial Result

 

The Result are :

   

My Kardio has been tested in 4

  •Prediction accuracy : 76.47%    

location and 85 patients in sub-urban areas of Jakarta.

 

•Machine learning execution time: 1 second

   
    •Transfer time from the side to server : 8.97 seconds