Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1142
Title: Design and development of smartphone based health monitoring system
Authors: Kochar, Adwit Singh
Bansal, Pabitra
Singh, Rahul
Agrawal, Yashwin
Deb, Sujay (Advisor)
Keywords: Blood Pressure
SpO2.
Human Activity Recognition
Sleep
Photoplethysmogram (PPG)
Machine Learning
Smartphone
Application Development
mHealth
Issue Date: Dec-2021
Publisher: IIIT-Delhi
Abstract: Critical health parameters such as SpO2 and Blood Pressure play a massive role in determining a person’s health condition, and hence their tracking and monitoring are essential. Currently, the problem with health monitoring systems is the inaccessibility and expensiveness of the monitoring devices and the cumbersome nature of the measurement procedures. Moreover, these devices belong to different ecosystems. Hence, they do not communicate with each other making it difficult for people to keep track of different measurements and get a combined insight into their health. We are overcoming all these flaws by introducing a solution that is accessible by everyone through a free smartphone application. This solution allows simultaneous measurement of Heartbeat, SpO2, and Blood Pressure and tracking of user activity and sleep patterns. Even in the early stages, our solution provides excellent accuracy, with the error range being only ±2 for SpO2 and the RMSE being 9.76 mmHg for SBP and 6.09 mmHg for DBP. Such low error ranges provide us with great insights into the potential success of our solution. Our solution does not require any additional hardware requirements, can run on any off-the-shelf mobile, reduce the burden on the healthcare system, and bring out diagnostic insights that are not readily available, thus providing a holistic picture of the human body.
URI: http://repository.iiitd.edu.in/xmlui/handle/123456789/1142
Appears in Collections:Year-2021

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