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Journal ArticleDOI

Smart health monitoring systems: an overview of design and modeling.

TLDR
The main aim is to review current state of the art monitoring systems and to perform extensive and an in-depth analysis of the findings in the area of smart health monitoring systems.
Abstract
Health monitoring systems have rapidly evolved during the past two decades and have the potential to change the way health care is currently delivered. Although smart health monitoring systems automate patient monitoring tasks and, thereby improve the patient workflow management, their efficiency in clinical settings is still debatable. This paper presents a review of smart health monitoring systems and an overview of their design and modeling. Furthermore, a critical analysis of the efficiency, clinical acceptability, strategies and recommendations on improving current health monitoring systems will be presented. The main aim is to review current state of the art monitoring systems and to perform extensive and an in-depth analysis of the findings in the area of smart health monitoring systems. In order to achieve this, over fifty different monitoring systems have been selected, categorized, classified and compared. Finally, major advances in the system design level have been discussed, current issues facing health care providers, as well as the potential challenges to health monitoring field will be identified and compared to other similar systems.

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Citations
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Dissertation

Energy-efficient routing protocols for heterogeneous wireless sensor networks with smart buildings evacuation

TL;DR: A single hop cluster-based network layer routing protocol, referred to as HRHP, is designed, which applies centralized and deterministic approaches for the selection of cluster heads, in relation to offer an improved network lifetime for large-scaled and dense WSN deployments.
Book ChapterDOI

Health monitoring system

TL;DR: This chapter deals with a smart sensor system for diagnosis of diseases, precisely chronologic at an early stage and the sensor system is developing for detecting volatile organic compounds.
Posted Content

MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks.

TL;DR: In this article, the authors proposed a framework called MHDeep that utilizes commercially available WMSs and efficient DNN models to diagnose three important mental health disorders: schizoaffective, major depressive, and bipolar.
Journal Article

Security of Electronic Patient Record using Imperceptible DCT-SVD based Audio Watermarking Technique

TL;DR: It is shown that the proposed watermarking technique is robust to common signal processing attacks and introduces minimal changes in speech such that the accuracy in classification of PD affected person’s speech and healthy person's speech is retained.
Book ChapterDOI

Health Communication: A Discussion of North American and European Views on Sustainable Health in the Digital Age

TL;DR: The present contribution seeks to highlight the contribution of the different disciplines to effective health communication, outline changes in the health communication environment, as well as carve out future challenges that are brought about by changes in demographics, disease treatment, and communication patterns.
References
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Journal ArticleDOI

A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis

TL;DR: A variety of system implementations are compared in an approach to identify the technological shortcomings of the current state-of-the-art in wearable biosensor solutions and evaluate the maturity level of the top current achievements in wearable health-monitoring systems.
Journal Article

Balance in elderly patients : The "get-up and go" test

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Journal ArticleDOI

The costs of fatal and non-fatal falls among older adults

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Journal ArticleDOI

Epidemiology of falls

TL;DR: This epidemiological review of falls concentrates on four main components, different ways of defining and classifying falls and fallers, and the causes and impact of falls in the older population.
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