A remote elderly monitoring system with localizing based on Wireless Sensor Network

Safavi, Ali Akbar; Keshavarz‐Haddad, Alireza; Khoubani, Sahar; Mosharraf-Dehkordi, Sajjad; Dehghani-Pilehvarani, Alireza; Tabei, Fatemeh Sadat

doi:10.1109/iccda.2010.5541506

Cited by 13 publications

(1 citation statement)

References 9 publications

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“…Whether it is deciding on the sampling rate of the sensor or identifying the patient's situation (critical or not), the place where the decision has to be made can be the sensor, the coordinator or the medical team. In [7], the authors developed a system that can detect life-threatening changes in the elderly by comparing the current situation/activity with ordinary daily activities. A novel cloud-based platform using digital twins for healthcare is presented in [8].…”

Section: B Decision Makingmentioning

confidence: 99%

A Comparative Study for Evaluating Recent Advances in Wireless Body Sensor Network

Salika

Zaki

Saux

et al. 2022

2022 21st International Symposium on Communications and Information Technologies (ISCIT)

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Internet of things (IoT) network helps communities, cities and industries better manage their work efficiently and provides a superior quality of service. This can be applied on Wireless Body Sensor Networks (WBSN) employed in healthcare industry. As any network, WBSN has its challenges that attracts researchers for its potential in serving humanity. Thus, enhancing WBSN could take many forms like enhancing the energy consumption of sensors, the communication or transmission and data analysis. Many researches cater to the above topics individually or combined to promise better outcomes. In this paper, we present a comparative study for some of the techniques and enhancement that researchers bring into WBSN for e-health applications and highlighting the gaps that would be a target for future researches. We provide a detailed overview of WBSN purposes and used techniques. The paper presents a number of the recent advanced techniques which fall under the survey's objective and compare them. For an objective comparison, we focus on a set of criteria related to e-health and involving data reduction, energy conservation, decision-making up to the intervention.

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Section: B Decision Makingmentioning

confidence: 99%

A Comparative Study for Evaluating Recent Advances in Wireless Body Sensor Network

Salika

Zaki

Saux

et al. 2022

2022 21st International Symposium on Communications and Information Technologies (ISCIT)

View full text Add to dashboard Cite

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Using Case-Based Reasoning to Detect Risk Scenarios of Elderly People Living Alone at Home

Lupiani

Juárez

Palma

et al. 2014

Case-Based Reasoning Research and Development

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In today's ageing societies, the proportion of elder people living alone in their own homes is dramatically increasing. Smart homes provide the appropriate environment for keeping them independent and, therefore, enhancing their quality of life. One of the most important requirements of these systems is that they have to provide a pervasive environment without disrupting elder people's daily activities. The present paper introduces a CBR agent used within a commercial Smart Home system, designed for detecting domestic accidents that may lead to serious complications if the elderly resident is not attended quickly. The approach is based on cases composed of event sequences. Each event sequence represents the different locations visited by the resident during his/her daily activities. Using this approach, the system can decide whether the current sequence represent an unsafe scenario or not. It does so by comparing the current sequence with previously stored sequences. Several experiments have been conducted with different CBR agent configurations in order to test this approach. Results from these experiments show that the proposed approach is able to detect unsafe scenarios.

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Smart Health Monitoring Systems: An Overview of Design and Modeling

2013

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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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A remote elderly monitoring system with localizing based on Wireless Sensor Network

Cited by 13 publications

References 9 publications

A Comparative Study for Evaluating Recent Advances in Wireless Body Sensor Network

A Comparative Study for Evaluating Recent Advances in Wireless Body Sensor Network

Using Case-Based Reasoning to Detect Risk Scenarios of Elderly People Living Alone at Home

Smart Health Monitoring Systems: An Overview of Design and Modeling

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