Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score

Abstract

Early warning score (EWS) is an approach to detect the deterioration of a patient. It is based on a fact that there are several changes in the physiological parameters prior a clinical deterioration of a patient. Currently, EWS procedure is mostly used for in-hospital clinical cases and is performed in a manual paper-based fashion. In this paper, we propose an automated EWS health monitoring system to intelligently monitor vital signs and prevent health deterioration for in-home patients using Internet-of-Things (IoT) technologies. IoT enables our solution to provide a real-time 24/7 service for health professionals to remotely monitor inhome patients via Internet and receive notifications in case of emergency. We also demonstrate a proof-of-concept EWS system where continuous reading, transferring, recording, and processing of vital signs have been implemented.

Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare

“…On the other hand, BLE best fits for short-range low power communications. The state-of-the-art IoT eHealth devices can be classified into two main groups: conductance sensor [80], PPG [81], elderly monitor [82], [83], [84], [85], [86], medication management [87], [88], food contamination detection device [89], early warning system [90], [91]. • Virtual sensor: using software and mobile applications as well as eHealth services, virtual sensors capture patient's health data and contextual data from the environment [92], [93], [94], [95].…”

“…Due to large volume of incoming medical data generated by a wide-range of bio-sensors and hundreds of thousands of patients, it is infeasible to monitor every patient directly. To assist the health professionals, an IoT-aware Early Warning Score System (EWS) can be utilized to effectively detect and forecast deterioration of patients' conditions early in time [90], [91]. The basic idea behind EWS is to process and analyze six cardinal vital signs including temperature, respiratory rate, systolic blood pressure, pulse rate, oxygen saturation, and level of consciousness.…”

“…Note that EWS is an established approach which is widely used by many hospitals across the world. Several studies have shown that EWS can predict complications of patients about 24 hours in advance [91]. In this context, the proposed IoT eHealth ecosystem enables caregivers to continuously collect vital signs remotely and compute the deterioration risk of patients entirely in an automatic way remotely.…”

Internet of things for remote elderly monitoring: a study from user-centered perspective

“…In the proposed EWS system, parameters such as respiration rate, heart rate, oxygen saturation and also level of consciousness are collected in order to predict patient deterioration in hospitals. In this regard, according to the possible serious medical condition that some elderly people might have, personalized EWS system is proposed to collect vital signs and to calculate the EWS scores in various conditions remotely (Anzanpour et al 2015;Azimi et al 2016). Moreover, in addition to vital signs, other medical parameters such as glucose and urine amount can be included to have a more comprehensive analysis.…”

Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications

“…An Early Warning Score (EWS) system is used in health care for monitoring vital signs of a patient to proactively alert required medical support. A method for EWS is proposed in [27] that uses three types of sensors viz., medical, environmental and activity. Data collected from the senors is pre-processed by using a Butterworth filter to remove noise components and false alarms.…”