An Intelligent Agents Reasoning Platform to Support Smart Home Telecare

Valero, Miguel Ángel; Vadillo, Laura; Pau, Iván; Peñalver, Ana

doi:10.1007/978-3-642-02481-8_102

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…Tele-homecare could enhance the abilities of the caregivers in a family and improve the quality of life of the elderly. The use of wire and wireless transmission communication, physiological signal sensors, and convenient two-directional interaction models with professional nurses [ 4 – 6 ] could enhance the freedom of the cared people and the autonomic management of illnesses, satisfy the healthcare needs of the elderly with chronic diseases, and reduce hospital expenses and the time and transportation expenses of travelling back and forth to hospitals.…”

Section: Related Workmentioning

confidence: 99%

“…When detecting slight physiological exceptions, the system would provide proper suggestions to assist the elderly patients. For serious exceptions, the system, in addition to offering suggestions and reminders to see a doctor, would automatically advise the caregivers or the family for necessary assistance [ 6 , 12 ]. In addition to the ability to store records and detect exceptional records in real time, the major merit of the tele-homecare system is that medical personnel or the family can acquire timely physiological information to take proper actions.…”

Section: Related Workmentioning

confidence: 99%

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Design of a Wireless Sensor Network Platform for Tele-Homecare

Chung

Liu

2013

Sensors

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The problem of an ageing population has become serious in the past few years as the degeneration of various physiological functions has resulted in distinct chronic diseases in the elderly. Most elderly are not willing to leave home for healthcare centers, but caring for patients at home eats up caregiver resources, and can overwhelm patients' families. Besides, a lot of chronic disease symptoms cause the elderly to visit hospitals frequently. Repeated examinations not only exhaust medical resources, but also waste patients' time and effort. To make matters worse, this healthcare system does not actually appear to be effective as expected. In response to these problems, a wireless remote home care system is designed in this study, where ZigBee is used to set up a wireless network for the users to take measurements anytime and anywhere. Using suitable measuring devices, users' physiological signals are measured, and their daily conditions are monitored by various sensors. Being transferred through ZigBee network, vital signs are analyzed in computers which deliver distinct alerts to remind the users and the family of possible emergencies. The system could be further combined with electric appliances to remotely control the users' environmental conditions. The environmental monitoring function can be activated to transmit in real time dynamic images of the cared to medical personnel through the video function when emergencies occur. Meanwhile, in consideration of privacy, the video camera would be turned on only when it is necessary. The caregiver could adjust the angle of camera to a proper position and observe the current situation of the cared when a sensor on the cared or the environmental monitoring system detects exceptions. All physiological data are stored in the database for family enquiries or accurate diagnoses by medical personnel.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Design of a Wireless Sensor Network Platform for Tele-Homecare

Chung

Liu

2013

Sensors

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“…Most recently, we have the systems based on ontologies proposed by [8][9][10][11][12]. These projects vary both in scale deployment and diseases monitored (daily activities, asthma, Alzheimer's, cardiovascular disease, falls, etc.).…”

Section: Introductionmentioning

confidence: 99%

Enhancing eHealth Information Systems for chronic diseases remote monitoring systems

Hassani¹

2012

IJACSA

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Abstract-Statistics and demographics for the aging population in Europe are compelling. The stakes are then in terms of disability and chronic diseases whose proportions will increase because of increased life expectancy. Heart failure (HF), a serious chronic disease, induces frequent re-hospitalizations, some of which can be prevented by up-stream actions. Managing HF is quite a complex process: long, often difficult and expensive. In France, nearly one million people suffer from HF and 120,000 new cases are diagnosed every year. Managing such patients, a telemedicine system tools associated with motivation and education can significantly reduce the number of hospital days that believes therefore that the patient is hospitalized for acute HF. The current development projects are fully in prevention, human security, and remote monitoring of people in their living day-to-day spaces, from the perspective of health and wellness. These projects encompass gathering, organizing, structuring and sharing medical information. They also have to take into account the main aspects of interoperability. A different approach has been used to capitalize on such information: data warehouse approach, mediation approach (or integration by views) or integration approach by link (or so-called mashup).In this paper, we will focus on ontologies that take a central place in the Semantic Web: on one hand, they rely on modeling from conceptual representations of the areas concerned and, on the other hand, they allow programs to make inferences over them.

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“…Table 2.2 provides a list of biological signals typically monitored by RPM systems along with medical conditions for which they are used. Table 2.3 provides a list of environmental signals typically monitored by RPM systems along with medical conditions and/or patient well being for which they are used [2], [76], [77]. Such environmental monitoring is especially helpful for patients with one or more cognitive disabilities.…”

Section: Signals Monitored By Rpm Systemsmentioning

confidence: 99%

Architecture for adaptive remote patient monitoring

Joshi¹

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The author has granted a nonexclusive license allowing Library and Archives Canada to reproduce, publish, archive, preserve, conserve, communicate to the public by telecommunication or on the Internet, loan, distribute and sell theses worldwide, for commercial or noncommercial purposes, in microform, paper, electronic and/or any other formats. L'auteur a accorde une licence non exclusive permettant a la Bibliotheque et Archives Canada de reproduire, publier, archiver, sauvegarder, conserver, transmettre au public par telecommunication ou par I'lnternet, preter, distribuer et vendre des theses partout dans le monde, a des fins commerciales ou autres, sur support microforme, papier, electronique et/ou autres formats. Bien que ces formulaires aient inclus dans la pagination, il n'y aura aucun contenu manquant.

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An Intelligent Agents Reasoning Platform to Support Smart Home Telecare

Cited by 8 publications

References 4 publications

Design of a Wireless Sensor Network Platform for Tele-Homecare

Design of a Wireless Sensor Network Platform for Tele-Homecare

Enhancing eHealth Information Systems for chronic diseases remote monitoring systems

Architecture for adaptive remote patient monitoring

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