Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1142
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dc.contributor.authorKochar, Adwit Singh-
dc.contributor.authorBansal, Pabitra-
dc.contributor.authorSingh, Rahul-
dc.contributor.authorAgrawal, Yashwin-
dc.contributor.authorDeb, Sujay (Advisor)-
dc.date.accessioned2023-04-14T10:30:06Z-
dc.date.available2023-04-14T10:30:06Z-
dc.date.issued2021-12-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1142-
dc.description.abstractCritical 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.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectBlood Pressureen_US
dc.subjectSpO2.en_US
dc.subjectHuman Activity Recognitionen_US
dc.subjectSleepen_US
dc.subjectPhotoplethysmogram (PPG)en_US
dc.subjectMachine Learningen_US
dc.subjectSmartphoneen_US
dc.subjectApplication Developmenten_US
dc.subjectmHealthen_US
dc.titleDesign and development of smartphone based health monitoring systemen_US
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