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In today’s medical services health structure where patients stay at home after operations are monitored by a medical caretaker or a family member. People who work full time, face the problem of monitoring their loved ones particularly the aged patients. So, to overcome this difficulty we are using this patient health monitoring system using IoT. This will make use of sensor technology in combination with micro-controller and Wi-Fi module to help the user monitor their loved ones. For monitoring the health of a patient, a new project is developed to reduce the sudden death rates by using patient health monitoring which makes use of bio sensors and internet to communicate to the doctor or family member in critical condition. Our system uses Pulse oximeter sensor, Heart rate sensor, body temperature sensor and Indoor Air Quality Sensor which are connected to Arduino MKR 1000 board, Thingspeak cloud and IoT Data Explorer Matlab App for analysis. To display the health condition to the patient, an LCD is interfaced with the microcontroller and to send the data to the cloud web server, the Wi-Fi connection in the Arduino MKR 1000 is used. In case of any sudden changes in the health condition are observed in patient’s Heart beat rate or Systolic Blood Pressure or Diastolic Blood Pressure or in Body temperature or Indoor Air Quality, immediately an alert message about the situation is sent to the doctor or family member using IoT technology. Based on the alert message, the doctor will contact the caretaker at the patient’s place for the preventive measures.
Keywords:
Pulse Oximeter, Heart Rate Sensor, Blood pressure sensor, Body temperature sensor, Air quality sensor, Arduino MKR 1000, Thingspeak IoT Data Explorer App
Cite Article:
"IoT based Smart Patient Health Monitoring System using Arduino MKR 1000 ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 2, page no.516 - 524, February-2023, Available :http://www.ijrti.org/papers/IJRTI2302086.pdf
Downloads:
000205095
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator