Smart Healthcare Remote Monitoring System Using Internet of Things

dc.contributor.authorKumar, Rahul
dc.date.accessioned2026-10-13T11:21:06Z
dc.date.available2026-10-13T11:21:06Z
dc.date.issued2019
dc.description.abstractIn the present scenario, diagnosis and monitoring of health is a very important task in the healthcare industry. Due to busy schedule in day-to-day life, people are less concerned about health which might and possibly lead to a lot of health issues in one instant of time. Advances in technologies have led Internet of Thing (IoT) to be one of the most sought tools in the healthcare system. Thus, IoT in the medical field brings out the solution for effective patient monitoring at reduced cost and it also helps in preventing time relapses during a hospital, dispensary or clinic visit. Sitting is one of the most commonly adopted postures of a human being in daily life. People spend a long time sitting in an Office chair, room chair, lounge chair, and so on. The sitting behaviour analysis becomes an important research topic, especially in healthcare services. In this paper, we have designed a testing sheet for human posture identification using five light-weight pressure sensors. The pressure patterns of eight standardized sitting postures were acquired and transmitted to the computer for the automatic sit ting posture recognition with the application of different ML classifiers. Furthermore, we focused only on static postures. After receiving correct sitting posture result i.e. Sitting-upright, our next matter of concern in this paper is on the development and implementation of an effective healthcare monitoring system based on IoT. The prototype system we developed works on 3 phases: 1) Data acquisition using sensors including patients temperature, heart rate and body position (Accelerometer 2) Storage of health information to a database for local and remote data access. 3) GUI based web page design for showing health status
dc.identifier.urihttp://nits.ndl.gov.in/handle/123456789/239
dc.language.isoen
dc.publisherDepartment of Computer Science & Engineering, NITS
dc.relation.ispartofseriesD1047
dc.titleSmart Healthcare Remote Monitoring System Using Internet of Things
dc.typeThesis
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