A utility maximization approach for information-communication tradeoff in Wireless Body Area Networks

Wang, Hui; Agoulmine, Nazim; Deen, M. Jamal; Zhao, Jianmin

doi:10.1007/s00779-014-0792-1

Cited by 10 publications

(7 citation statements)

References 19 publications

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“…23 for an illustration of on-body sensors-yellow/green in smart socks, smart handbands and a smart belt, to acquire walking signals) [78]. • Use five sensor systems to determine unilateral (local) versus bilateral motion, coordination between hands and feet and their relation to walking metrics such as speed and tilt or sway.…”

Section: Walkingmentioning

confidence: 99%

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Information and communications technologies for elderly ubiquitous healthcare in a smart home

Deen

2015

Pers Ubiquit Comput

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212

115

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Over the past century, in most countries, there has been a continual increase in life expectancy primarily due to improvements in public health, nutrition, personal hygiene and medicine. However, these improvements are now coupled with aging population demographics and falling birth rates, which, when combined, are expected to significantly burden the socioeconomic well-being of many of these countries. In fact, never before in human history have we been confronted with such a large aging population, nor have we developed solid, cost-effective solutions for the well-being, healthcare and social needs of the elderly. One efficient and cost-effective solution to the problem of elderly/patient care is remote healthcare monitoring so they can continue to live at home rather than in nursing homes or hospitals that are very expensive and with limited spaces. These remote monitoring systems will allow medical personnel to keep track of important physiological signs with reduced human resources, at less cost and in real time. This paper introduces several low-cost, noninvasive, user-friendly sensing and actuating systems using information and communication technologies. Such systems can be used to create engineering solutions to some of the pressing healthcare problems in our society, especially as it pertains to the elderly. One example is the integration of sensors, wireless communications, lowpower electronics and intelligent computing to determine health-related information using signals from walking patterns. Such a sensing system will be suitable for prolonged use in a home environment. It will be wearable, noninvasive and non-intrusive, similar to smart socks, smart wrist-bands or smart belts. Other examples such as a smart joint monitor and a smart sleeping environment will be discussed, and future perspectives and research challenges in smart home technologies will be described.

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Section: Walkingmentioning

confidence: 99%

“…Here, we discuss issues related to the software solution for the U-Healthcare smart home [78][79][80]. The software should be built on models that captures sensory data of the smart home environment as well as those related to the health/ well-being/fitness of the elderly (see Fig.…”

Section: Autonomic Computingmentioning

confidence: 99%

Information and communications technologies for elderly ubiquitous healthcare in a smart home

Deen

2015

Pers Ubiquit Comput

Self Cite

212

115

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“…In this paper, we focus on the autonomic computing layer of a smart e-Health home. The implementation bottlenecks of the autonomic computing layer of smart e-Health homes were discussed in [28]- [30]. As we mentioned before, the autonomic computing layer can be termed as the ADMS [31], [32].…”

Section: Smart E-health Home Based On Cyber-physical System Archimentioning

confidence: 99%

Brain-Inspired Intelligence for Real-Time Health Situation Understanding in Smart e-Health Home Applications

2019

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The autonomic computing layer of the smart e-Health home based on a cognitive dynamic system (CDS) can be a solution for improving health situation understanding, reducing the healthcare system costs, and improving people's quality of life. It can also be a solution for reducing the large number of sudden deaths outside of a hospital due to fatal diseases such as Arrhythmia. Towards this objective, we start from understanding the health situation, by diagnosing healthy and unhealthy persons. For this, we developed a decision-making system that is inspired by the medical doctors (MDs) decision-making processes. Our system is based on a CDS for cognitive decision-making and it can create a decision-making tree automatically. The simple, low complexity algorithmic design of the proposed system makes it suitable for real-time applications. A proof-of-concept case study of the implementation of the CDS was done on Arrhythmia disease. An accuracy of 95.4% was achieved using the proposed algorithms. Also, these algorithms can make a decision in less than 80 ms, and for one User, this includes the time for training. The proposed platform can be extended for more healthcare applications such as screening, disease class diagnosis, prevention, treatment, or monitoring healing. As a result, the proposed CDS algorithms can be an example of the first step for designing the autonomic computing layer of a smart e-Health home platform.

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“…This system allows monitoring of the vital elements of the human body, such as heart rate, blood presssure, tachycardia or bradycardia [16]. This means, a remote monitoring system is created by wireless sensors connected via an internet connection [5]. Once the system is implemented, family members and nursing staff or doctors are able to monitor the health condition of the user (patient) through the internet connection on their smart phones or computers [17].…”

Section: Process Of Implementing Smart Home Frameworkmentioning

confidence: 99%

“…These elements are: blood pressure, heart rate, and any other signs that may indicate that an accident has occurred. These raw data then trigger emergency response and diagnosis [5].…”

Section: Introductionmentioning

confidence: 99%

Impact of Wireless Communications Technologies on Elder People Healthcare: Smart Home in Australia

Mageroski

Alsadon

Withana

et al. 2017

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Abstract. Over the last three decades, there has been a dramatic rise in ageing populations in most countries. Older people are remaining in nursing home care due to the fact that general services and medical support are provided. However, these environments often negatively affect older people due to high cost, limited staff and the social impacts they have. A way to overcome these challenges is to place the elderly instead of the Nursing Homes in a Smart Home environment. In other words, by implementing such technology, older people are able to remain at home, instead of going to nursing homes and pay the extremely high cost.The aim of this study is to describe the impact of wireless communications technologies on both nursing home and smart home. Using smart wireless sensors, wireless communication and ambient intelligent systems, it is possible to create systems capable of measuring vital signs of the patient at home. This is based on exchanging signals (information) between the sensor and the data server from already deployed sensors (infrared or camera) or wearable smart sensors, allowing older people to stay at home.

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A utility maximization approach for information-communication tradeoff in Wireless Body Area Networks

Cited by 10 publications

References 19 publications

Information and communications technologies for elderly ubiquitous healthcare in a smart home

Information and communications technologies for elderly ubiquitous healthcare in a smart home

Brain-Inspired Intelligence for Real-Time Health Situation Understanding in Smart e-Health Home Applications

Impact of Wireless Communications Technologies on Elder People Healthcare: Smart Home in Australia

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