Abstract
In healthcare, the modern technologies and the smart devices have brought an excellent results. In Intensive Care Unit, these technologies brought a more facilities to take care of patient health. The Internet of Things helps the gadgets to fit with Internet. This provide a conjoin between the care taker and sick people which leads to the duplex communication. The aim of the patient surveilling device is to protect the patient in the intensive care unit. This system is used for analyzing the patient essential movements and sends the report continuously to the doctor through the help of the cloud. With the help of support vector machine algorithm, the data get compared with available dataset. If the compared value gets reached above its threshold value or below its threshold value the precaution message is send to the server. The server sends the notification message to the care taker and provides guidance for giving first aid. To collect these vital information, we need some sensors. These sensors sense various body parameters such as the blood pressure, temperature (body heat), heart rate, and sugar level. In addition, our system also analyzes the comma patient movement with the help of three-axis accelerometer sensor. The heart rate is measured by using the pulse oximeter sensor; blood pressure is monitored by blood pressure sensor. These sensors generate the report frequently. This system mainly helps the patient by sending the message not only in emergency case it also provides the precaution message if the value reached above or below its threshold. The surveilling system helps the care taker and reduces the work pressure and also this system overcomes the nursing staff’s shortage problem. The biomedical data of the patient send through the server with the help of wireless communication network and the data will be displayed on the mobile phone as well as laptop using web browser. This multitasking implementation in our system helps the health care especially in Intensive Care Unit.
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Sumathi, K., Pandiaraja, P. (2023). E-Health Care Patient Information Retrieval and Monitoring System Using SVM. In: Ogudo, K.A., Saha, S.K., Bhattacharyya, D. (eds) Smart Technologies in Data Science and Communication. Lecture Notes in Networks and Systems, vol 558. Springer, Singapore. https://doi.org/10.1007/978-981-19-6880-8_2
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DOI: https://doi.org/10.1007/978-981-19-6880-8_2
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