Paper Title :An Overview of Patient Monitoring Systems Based on Machine Learning in the Internet of Things
Author :Saeid Javid
Article Citation :Saeid Javid ,
(2023 ) " An Overview of Patient Monitoring Systems Based on Machine Learning in the Internet of Things " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 1-8,
Volume-11,Issue-9
Abstract : The Internet of Things (IoT) is widely used in many applications including patient monitoring systems. The
purpose of healthcare systems is to monitor the patient in order to prevent risks, deal with critical cases quickly, and to
establish long-distance communication for remote treatments. The Internet of Things has a long-term impact on patient
monitoring, patient management, patient’s physiological information, and critical care. The sensors are connected to the
patient to collect the data which are first sent to system controls and then autonomously to healthcare providers. There are a
variety of biosensors that send the medical information to mobile applications or websites via wireless network. Healthcare
providers are thus enabled to monitor the patient and control the treatment outside of hospital walls, therefore; the IoT
medical devices require accurate methods of patient monitoring in order to predict the patient’s condition more precisely,
and to increase the efficiency of the network. An overview of patient monitoring systems based on machine learning in the
Internet of Things is provided in the following article.
Keywords - IOT, Machine Learning, HealthCare, WBAN
Type : Research paper
Published : Volume-11,Issue-9
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-20140
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Copyright: © Institute of Research and Journals
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Published on 2023-12-04 |
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