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.read more
Citations
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Journal ArticleDOI
Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure.
K. I. Mohammed,A. A. Zaidan,B. B. Zaidan,Osamah Shihab Albahri,M. A. Alsalem,Ahmed Shihab Albahri,Ali Hadi,M. Hashim +7 more
TL;DR: There is an essential need to produce a new multiple-criteria decision-making theory to address the current problems in the prioritisation of patients with MCDs and the challenges and open issues regarding patient prioritisation in telemedicine.
Journal ArticleDOI
A Health Decision Support System for Disease Diagnosis Based on Wearable Medical Sensors and Machine Learning Ensembles
Hongxu Yin,Niraj K. Jha +1 more
TL;DR: This paper introduces a hierarchical health decision support system for disease diagnosis that integrates health data from WMSs into CDSSs and demonstrates the feasibility of such a system through six disease diagnosis modules aimed at four ICD-10-CM disease categories.
Proceedings ArticleDOI
Optimal Big Data Sharing Approach for Tele-Health in Cloud Computing
Longfei Qiu,Keke Gai,Meikang Qiu +2 more
TL;DR: The proposed approach is called Optimal Telehealth Data Sharing Model (OTDSM), which considers transmission probabilities, maximizing network capacities, and timing constraints, and the experimental results have proved the flexibility and adoptability of the proposed method.
Journal ArticleDOI
Online clinical decision support system using optimal deep neural networks
S. K. Lakshmanaprabu,Sachi Nandan Mohanty,S. Sheeba Rani,Sujatha Krishnamoorthy,J. Uthayakumar,K. Shankar +5 more
TL;DR: The proposed framework collects the patient data using the IoT devices attached to the user which will be stored in the cloud along with the related medical records from the UCI repository and employs a Deep Neural Network (DNN) classifier for the prediction of CKD and its level of severity.
Journal ArticleDOI
Estimation of ground reaction forces and ankle moment with multiple, low-cost sensors
TL;DR: The proposed system of low-cost sensors can provide useful estimations of ankle joint torque for both walking and calf raises for future studies in mobile gait analysis.
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