INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Wearable gadgets are at the center of almost every conversation about the Internet of Medical Things right now. The demand for self-health monitoring and preventive medicine is increasing due to the huge growth in the number of elderly people until 2020. Developed technologies have the potential to cut the overall expenses of prevention and monitoring by a significant amount. This can be accomplished by continuously monitoring health indicators in various regions, with wearable technologies in particular being studied for this purpose. To structure the medical Internet of Things, these wearable gadgets and mobile apps have been efficiently combined with telemedicine and telehealth. This technology is useful in the medical field, such as analyzing different patterns of medical sensors and developing smart edge devices (sensor node). Sensor nodes use the nearest Wi-Fi connection to send data to the server for further analysis and live graph plotting, as well as historical reporting. By sending a notification based on signal pattern analysis from a medical sensor, we can predict the outcomes before they occur (medical sensor issue or medical emergency).
Keywords:
Internet of things, internet of medical things IoMT, Machine learning
Cite Article:
"AI health telemetry system", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 7, page no.60 - 68, July-2022, Available :http://www.ijsdr.org/papers/IJSDR2207010.pdf
Downloads:
000337073
Publication Details:
Published Paper ID: IJSDR2207010
Registration ID:200860
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 60 - 68
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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