IoT based Ketoacidosis Detection Chandrasekaran R.1, Sharika S.2,*, Hemalatha R.J.1, Dhivya Josephin Arockiya1, Thamizhvani T. R.1 1Assistant Professor, Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai 2Student, Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai *Corresponding Author: S. Sharika, Student, Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai-117 Email: Chandrasekaran.se@velsuniv.ac.in
Online published on 4 June, 2019. Abstract Ketoacidosis also known as DKA (diabetic ketoacidosis) is a serious condition which occurs in patients who suffers from diabetes. It affects people above 25years of age. It occurs due to insufficiency of insulin. Detection of ketone is done by the nitro prusside-based urinary dipstick ketone test and plasmlserum ketone analyses. Non-invasive detection of ketoacidosis is done by breath analyzer. In this paper we are using breath acetone as a biomarker for ketoacidosis. The resultant ketoacidosis values are transmitted through ESP8266. The ESP8266 sends the sensor values to think speak (private cloud). The new channel is created in Think Speak private clouding and Channel API keys are generated to read and write the sensor data from ESP8266. Through this simple IoT device the physician is always connected to the patient and can be able to monitor thet ketoacidosis condition of the subject Top Keywords Ketoacidosis, think speak, IoT, API keys. Top |