About the Practice
Problem Statement:

mSleep: Measure your sleep

Detail:

This work presents an algorithm to detect sleep by using a smartphone, with the help of its inbuilt accelerometer sensor. The device consists of airflow (for the rate of respiration), pulse oximeter (for heart rate and oxygen saturation), accelerometer (PLM), and EEG (brain waves) sensors. The data is stored on the cloud; results are summarised and seen on phone by the doctors and patients. The accuracy of sleep detection was compared with that of the Zeo sensor, based on an electroencephalogram (EEG) sensor to detect sleep. In order to concisely represent the sleep quality of people, the sleep data was modeled using Hidden Markov Model (HMM). The innovation allows people to easily and seamlessly measure their sleep, without requiring a lot of technical know-how, while helping to diagnose a very commonly occurring disease (>10% of the population), sleep apnoea. This also aids the doctors in tracking and studying the sleeping habits of patients remotely


About the Innovator

Knowledge Provider / Innovator: Shuchita Gupta, Yashovardhan Sharma
Address: Okhla Industrial Estate, Phase III, near Govind Puri Metro Station
City: New Delhi
State: Delhi
PIN Code 110020
Email: shuchita13101@iiitd.ac.in
Contact No: 918732736352.0

Practice Details

Link: This also aids the doctors in tracking and studying the sleeping habits of patients remotely
Problem Scale: Around the World
Blog Link 5:

News Link 5:


GIAN Reference: GIAN/UAL/1103
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