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IoT Based Ketoacidosis Detection


Affiliations
1 Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India
     

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Ketoacidosis also known as DKA (diabetic ketoacidosis) is a serious condition which occurs in patients who suffers from diabetes. It affects people above 25 years of age. It occurs due to insufficiency of insulin. Detection of ketone is done by the nitroprusside-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 sensorvalues 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

Keywords

Ketoacidosis, Think Speak, IoT, API Keys.
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  • IoT Based Ketoacidosis Detection

Abstract Views: 267  |  PDF Views: 0

Authors

R. Chandrasekaran
Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India
S. Sharika
Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India
Josephin Arockiya Dhivya
Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India
T. R. Thamizhvani
Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India

Abstract


Ketoacidosis also known as DKA (diabetic ketoacidosis) is a serious condition which occurs in patients who suffers from diabetes. It affects people above 25 years of age. It occurs due to insufficiency of insulin. Detection of ketone is done by the nitroprusside-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 sensorvalues 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

Keywords


Ketoacidosis, Think Speak, IoT, API Keys.



DOI: https://doi.org/10.37506/v10%2Fi12%2F2019%2Fijphrd%2F191978