An Autonomous Health Monitoring and Fall Detection Using Wban

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Abstract—Over the last couple of decades, the walkable patients who are all using the wired sensors are bedbound and also they suffer from psychological stress. In order to overcome this inconvenience, our project made this as wireless. This is based up on the communication devices like mobile phones and WBAN for the real time analysis of the patient health [1].We have two section, one is transmitter and another one is receiver. In transmitter side, the basic essential sensors like temperature sensor, BP sensor, heartbeat sensor,SPO2 sensor(measures glucose level), MEMS sensor(detects the fall) and GPS module are connected to Node MCU(Microcontroller Unit).In receiver side all the sensors and the GPS module are connected to cloud storage through node MCU. The status about the patient’s health will be continuously updated on the cloud storageand in the case of abnormal values, the location of the patients will be send as a mail to the medical practioners and concern person.

     


  • Keywords


    IOT, wireless body area network (WBAN), Node MCU, GPS, MEMS

  • References


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      [2] Shaik Abdul Waheed, Dr. P. Sheik Abdul Khader “A Novel Approach for Smart and Cost Effective IoT Based Elderly Fall Detection System Using Pi Camera”

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Article ID: 28926
 
DOI: 10.14419/ijet.v7i4.6.28926




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