IoT based Sensor Fusion Algorithm for Online Smart Health Monitoring
A Vijayalakshmi1, Ebenezer Abishek B2, C Arul Stephen3
1A Vijayalakshmi, Associate Professor in the Department of Electronics and Communication Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai. India.
2Ebenezer Abishek B, Assistant Professor in the Department of Electronics and Communication Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai
3C Arul Stephen, Assistant Professor in the Department of Electronics and Communication Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai
Manuscript received on 19 March 2019 | Revised Manuscript received on 25 March 2019 | Manuscript published on 30 July 2019 | PP: 6040-6046 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3738078219/19©BEIESP | DOI: 10.35940/ijrte.B3738.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Emerging Internet of Things technology plays the major role in modern healthcare not only for sensing but also in recording, communication and display results. The major role of an intensive care unit (ICU) is to improve patient health such as bringing about a change in the treatment or move the patient to a step-down unit etc. Monitoring also shows the extent of observance with a formulated standard of care. In ICU, care should be taken to monitor medical parameters, such as EEG, EMG, BP etc , continuously. In recent health care applications such as real time human health condition monitoring, patient information management etc, IoT technology brings convenience of general practitioner and human, since it is applied in various medical areas, the Body Sensor Network (BSN) is one of the main technology of IoT based medical applications, where a tiny smart and lightweight wireless sensor nodes are used for monitoring patient’s health condition. Hence, this paper proposes BSN integrated with IoT based sensor fusion algorithm to save human life those who are in critical condition. Sensor fusion algorithm is used to detect the criticality of the patient’s health condition and IoT technology is used for communicating information. The testbed has been developed using Rasberry Pi controller, EMG sensor,, BP sensor etc and tested. The tested results also analyzed.
Keywords: Body Sensor Networks, Healthcare Monitoring, Rasperrypi Processor, Sensors.
Scope of the Article: Health Monitoring and Life Prediction of Structures