Indian Journal of Public Health Research & Development

R. Chandrasekaran ¹, S. Sharika ¹, Josephin Arockiya Dhivya ¹, T. R. Thamizhvani ¹

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

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.

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R. Chandrasekaran ¹, Josephin Arockia Dhivya ¹, T. R. Thamizhvani ¹, R. J. Hemalatha ¹

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

Abstract

The assist device for blind people is much needed in recent days. The gadgets in recent trends are digitized that the blind people are not capable of handling digitized applications hence in our project we design text to voice converter, that converts the eBooks, audiobooks to voice format. In this project the audiobook eBooks are fed into SD card reader after that the sd card reader is interfaced and the Arduino UNO converts the text file to Audio output. The audio books can be heard in headphone\speaker using Arduino UNO. This project is low cost it will be more useful for blind people.

Keywords

Braille, Arduino Uno, SD Card Module, Jump Wire.

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