Development of an automatic IoT-based sepsis infection detection system for after-surgery patients

Khoh, Joo Hee (2022) Development of an automatic IoT-based sepsis infection detection system for after-surgery patients. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Sepsis is a reaction of the body to an infection at its most severe. It is a medical emergency that might put patient's life at risk. Sepsis occurs when an existing infection sets off a chain reaction that spreads throughout the body. Sepsis can cause tissue damage, organ failure, and death if it is not treated quickly. People who have weakened immune system such as the elderly folks, chronic medical conditions or people who have recently been hospitalized have higher risk to sepsis infection. Therefore, it is critical to continue to monitor their vital signs. The objective of this project is to develop a sepsis infection detection system using Arduino Uno. To detect a sepsis infection, the heart rate as well as the temperature of the patient must be monitored. And so, a non-contact infrared temperature sensor and pulse sensor were used. The signals acquired from the sensors are then sent to a smartphone by the Arduino Uno through NodeMCU ESP8266 to the Blynk application on the smartphone. When the system detects the onset of probable sepsis, it sets off the sound and light alarm, and sends a notification to the closest relative or doctor. In conclusion, this project can reduce the number of medical emergency caused by sepsis with the help of IoT.

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