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
A Smart Technology Intervention in the Homes of People with Mental Illness and Physical Comorbidities
Cheryl Forchuk,Abraham Rudnick,Deborah Corring,Daniel J. Lizotte,Jeffrey S Hoch,Richard Booth,B Frampton,Rupinder Mann,Jonathan Serrato +8 more
TL;DR: In this paper , a mixed-method study evaluated a smart home technology intervention for individuals within this population as well as providing health care providers with health monitoring capabilities, including smartwatches, weigh scales, and automated medication dispensers.
Proceedings ArticleDOI
Machine Learning Technique to Monitor Heartbeat using Amalgamated Data of Multi-Sensor Stream
TL;DR: In this paper , the authors used LSTM, Deep Neural Network (DNN), Support Vector Memory (SVM), Recursive Feature Elimination (RFE), and Random Forest (RF) to predict abnormal behavior patterns within a FitBit dataset.
Proceedings ArticleDOI
Prototype Development of an IoT Health Monitoring Device for Elderly Patient
TL;DR: An IoT-based monitoring device for elderly patients who may experience sudden abnormalities in heartbeat rate and blood oxygen saturation (i.e., SpO2) level is developed at low cost while ensuring that it can provide patient location information in a user-friendly mobile application when an abnormal patient condition is detected.
At Home Health Monitoring System for Elderly Heart Surgery At Home Health Monitoring System for Elderly Heart Surgery Patients through the use of Android Applications with Wireless Patients through the use of Android Applications with Wireless Biomedical Sensors Biomedical Sensors
TL;DR: Monitor and track a patient’s health activities and send up-to-date time lines of the patient's progress and their body's response to the treatment to help hospitals, doctors and family members better understand their patient's needs.
Proceedings ArticleDOI
Supervising Bluetooth devices with mesh wireless network for elderly monitoring
TL;DR: In this paper, a mesh wireless network for different Bluetooth devices supervising is presented, which allows a person monitoring without forcing him or her to wear a device that they are not used to.
References
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Journal ArticleDOI
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Journal ArticleDOI
Epidemiology of falls
Tahir Masud,Rob Morris +1 more
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