Combination of sensors-based monitoring system and internet of things (IoT): A survey and framework for remote and intensive care unit patients
Document Type
Book Chapter
Publication Title
Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing
Publisher
Taylor and Francis
School
School of Science
RAS ID
58303
Abstract
The Internet of Things (IoT) has enabled new features and applications in various sectors including agriculture, education, business, defense, security, and healthcare. With the onset of the COVID-19 pandemic, healthcare has become a top priority globally. In this context, continuous monitoring of patients has become a necessity. In this chapter, we present an overview of successful design implementations for healthcare monitoring using biosensors such as temperature, heart rate, and oxygen level monitors. We also propose a framework for nonstop monitoring and control of the patient’s condition using IoT devices and local Wi-Fi. The collected data is stored on a server and can be accessed and analyzed from anywhere with an active internet connection. An emergency alert system is also developed to send signals or messages to relevant departments such as relatives, doctors, and police, thereby reducing physical contact between patients and frontline health workers. This approach can ensure non-invasive service and improve patient care.
DOI
10.1201/9781003346678-17
Access Rights
subscription content
Comments
Islam, M. A., Mostofa, K. Z., Mohafez, H., Hossen, M, J., Low, F. W., Vasiliev, M. . . . Nur-E-Alam, M. (2024). Combination of sensors-based monitoring system and internet of things (IoT): A survey and framework for remote and intensive care unit patients. In A. Al-Jumaily, P. Crippa, A. Mansour & C. Turchetti (Eds.), Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing. CRC Press. https://doi.org/10.1201/9781003346678-17