Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context

Abstract

Changes in vital signs are an important indicator of physiological decline and provide opportunities for early recognition and intervention. The collected vital signs data can be evaluated using several approaches such as the Early warning score (EWS) approach to predict the risk level of patients. By exploring the Internet of things (IoT), vital signs monitoring solutions are automated based on various medical devices and sensors. However, there is a lack of efficient tools that enable an adaptative monitoring depending on the patient situations. This article explores the IoT technologies to provide an EWS system in smart hospital situation. The proposed solution presents an adaptative configuration of the vital signs monitoring process depending on the patient's health status variation and the medical staff decisions. Also, an intelligent notification mechanism that reduces the delay of the medical staff intervention in the case of risk detection is proposed. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Electro Cardiogram (ECG) Monitoring using Internet of Things and Predict Future in Advance using Artificial Intelligence

“…Adaptive vital signals monitoring system based on early warning score approach in smart hospital context was realized by et al [15]. This paper proposed early score approach, based on patient data it generated score related to risk content of patient.…”