Healthcare Management


There are six major sources of water Pollution namely Domestic, Industrial, Agricultural, Radioactive wastes, Thermal pollution, and Oil pollution. Presence of heavy metals in water causes diabetes, respiratory disease, cancer, diarrheal disease, neurological disorder, cardiovascular disease, etc. The team is working towards understanding the real-world problems and offering possible solutions to the health impacts manifested in the communities. The specific topic chosen for the current year activities is the development and validation of Non-Invasive Glucometer. The device has been designed to detect blood glucose level non-invasively using spectrophotometric method and statistical data analysis techniques. This device measures random blood sugar (RBS) of humans with an appreciable amount of clinical relevance and accuracy.

  • Development of Non-Invasive Blood Glucose measurement using photo spectroscopic method.
  • Minimization of the size of the developed module.
  • Enhancement of the accuracy of measurement using statistical and machine learning algorithms.
  • Calibration and scaling of the device with divergent subjects.
  • Development of Android app to get the glucose level in real time.

A device has been designed to detect blood glucose level non-invasively using spectrophotometric method and statistical data analysis techniques. This device measures random blood sugar (RBS) of human with an appreciable amount of clinical relevance and accuracy. The trans-receiver module of this instrument consists of a Near Infra-Red light sensor as a transmitter. The receiver module captures the reflected light intensity after it passes through the skin and depicts the value of glucose level in terms of voltage. The calibration and scaling was done on 100 subjects of different age groups and patients with type-1 diabetes. Low cost and compact design make its ideal for regular random blood sugar measurement. Non-invasive body parameters monitoring and disease detection is one of the emerging research area now a days. Diabetes mellitus is a condition in which the body does not produce sufficient insulin and this is one of the major health problems. In this work a device has been designed to detect blood glucose level Non-invasively.

  • Glucometer works on Beer Lambert’s Law. If an optical transmitter and receiver is placed opposite to each other on the alongside of the finger, the received light intensity at receiver depends on the following parameters- Reflection, absorption and scattering by platelets, skin, glucose and other minerals present in the blood.
  • The trans-receiver module of this instrument consists of a Near Infra-Red light sensor as a transmitter. The receiver module captures the reflected light intensity after it passes through the skin and depicts the value in terms of voltage.
  • Embedded C program running on microcontroller converts Voltage to glucose level and displays on LCD.
  • The calibration and scaling was done on 100 subjects of different age groups and patients with type-1 diabetes.

  • A village visit was organised on the second day to Chudahalli which was a village about 20 Kilometres from the campus.
  • An interactive session with the women folk of the village about their health awareness, food , other daily habits and needs.
  • Diabetes measurement for security personnel of Kengeri campus

  • Android app based on Bluetooth/wifi for real time display of captured data
  • Preparation for validation of the product using biochemical diabetes test
  • Design of enclosure
  • Inclusion of machine learning to improve the accuracy
  • Parallel redesign of the product using open source platforms

  • Inclusion of AI based algorithm for prediction
  • Patient wise weekly or monthly monitored report generation
  • Inclusion of other physiological parameters
  • Install the product in PHCs
  • Validation of the module with biochemical marker.