Abstract
Today, healthcare monitoring devices are deployed in health management services to ensure patient safety and to reduce the burden of caregivers and health workers. This study mainly focuses on automatic healthcare systems using IoT that support nursing needs in the public health sector. Nurses work extended hours without proper rest and are more prone to diseases due to contact with patients. So, we can reduce the burden of nurses using these devices. The main objective of this study is to know more about alerting nurses when the IV drip underflows, detecting oxygen saturation level with a pulse oximeter, ECG system for continuous cardiovascular health monitoring, etc. The contribution of this paper lies in the study of different health monitoring systems that helps the nurses to do their work with ease.
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References
Econsultancy. https://econsultancy.com/internet-of-things-healthcare/
Wipro. https://www.wipro.com/business-process/what-can-iot-do-for-healthcare/
Bakhri S, Rosiana E, Saputra RC (2020) Design of low cost pulse oximetry based on Raspberry Pi. J Phys Conf Ser 1501:012003. https://doi.org/10.1088/1742-6596/1501/1/012003
Von Chong A, Terosiet M, Histace A, Romain O (2019) Towards a novel single-LED pulse oximeter based on a multispectral sensor for IoT applications. Microelectron J 88:128–136. https://doi.org/10.1016/j.mejo.2018.03.005
Rao KR, Supriya KE (2020) Design and development of IoT based intravenous infusion system. In: Hitendra Sarma T, Sankar V, Shaik R (eds) Emerging trends in electrical, communications, and information technologies. Lecture notes in electrical engineering, vol 569. Springer, Singapore. https://doi.org/10.01007/978-981-13-8942-9_4
Xu G (2020) IoT-assisted ECG monitoring framework with secure data transmission for health care applications. IEEE Access 8:74586–74594. https://doi.org/10.1109/access.2020.2988059
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Pratap, A. et al. (2022). A Study on IoT-Based Health Monitoring Systems for Nurse Assistance. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Lecture Notes in Networks and Systems, vol 321. Springer, Singapore. https://doi.org/10.1007/978-981-16-5987-4_47
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DOI: https://doi.org/10.1007/978-981-16-5987-4_47
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