Viability study of a personalized and adaptive knowledge-generation telehealthcare system for nephrology (NEFROTEL)

Prado, Manuel; Roa, Laura M.; Reina‐Tosina, Javier

doi:10.1016/j.ijmedinf.2006.03.005

Cited by 21 publications

(34 citation statements)

References 35 publications

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“…Há também registros de melhor seguimento médico nas unidades de diálise nos Estados Unidos e realização de hemodiálise em casa com pleno acompanhamento de evolução clínica e dos parâme-tros de segurança das máquinas, com notáveis ganhos para o paciente e a assistência médica. [24][25][26][27][28][29][30][31][32][33][34][35] Na Espanha, em 2006, Prado, Roa e Tosina-Reina demonstraram que a telemedicina é útil do ponto de vista clínico, em médio prazo, para pacientes estáveis em hemodiálise. O incremento no custo diário é pequeno e há um ganho no tempo para os pacientes, além de economia no espaço físico e no transporte hospitalar.…”

Section: Resultsunclassified

Tecnologia da informação em nefrologia

Santos¹,

Novaes²,

Coelho³

et al. 2009

J. Bras. Nefrol.

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ResumoEste artigo apresenta uma revisão da literatura sobre as aplicações da tecnologia da informação em Nefrologia. Caracterizamos as aplicações em bancos de dados, as iniciativas mais voltadas ao ensino e alguns exemplos de sistemas de apoio à decisão. Por fim, apresentamos as experiências de Telemedicina em Nefrologia nitidamente voltadas ao suporte prestado à assistência dialítica a distância. Enfatizamos que a telessaúde pode ajudar na criação de um modelo assistencial descentralizado, voltado à prevenção, centrado na atenção bá-sica como forma de combater a epidemia mundial de Doença Renal Crônica (DRC). Palavras-chave: apoio à decisão, informá-tica médica, nefrologia, telessaúde, telemedicina, diálise, atenção primária, doença renal crônica. AbstRActThis is a review of the literature about the applications of information technology in nephrology. The use of information technology for database, teaching, and decision support systems is discussed. The application of telemedicine in nephrology to assist dialysis performed in remote regions is also presented. Telemedicine can have a key role in increasing standards of care in nephrology. In conclusion, telemedicine may help to build a decentralized assistance model for prevention, focused on primary care, and, thus, may play an important role in the fight against the worldwide epidemic of chronic kidney disease (CKD).

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Section: Resultsunclassified

Tecnologia da informação em nefrologia

Santos¹,

Novaes²,

Coelho³

et al. 2009

J. Bras. Nefrol.

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“…Optimizationprocedure with experimental data. In order to find the optimal values of the parameters used in the impact detection algorithm [10][11] of the ACSS, a procedure consisting of three iterative phases (see Figure 2) has been developed and proposed by the authors in the present article. This procedure is fed in its execution with a set of experiments that a group of volunteers have to repeat to obtain the accelerometric data in different daily activities: 1) Non-impact activities: walking (slow), walking (normal), walking (fast), going up stairs, going down stairs, picking up an object bending knees, picking up an object without bending knees and sitting in a chair (with care).…”

Section: Description Of the Proceduresmentioning

confidence: 99%

“…This device, the Accelerometer Smart Sensor (ACSS), performs a first detection (impact-detection) by using an adaptation of the algorithm presented in [10][11]. A second device with more computational resources, referred to as the Personal Server (PSE), develops a deeper processing of sensory information to discriminate more accurately and reliably between an actual falling event and other types of impact (fall-discrimination) [12].…”

Section: Introductionmentioning

confidence: 99%

Optimization procedure for the impact detection thresholds in an Accelerometer Smart Sensor

Naranjo

Roa

Reina‐Tosina

et al. 2009

2009 9th International Conference on Information Technology and Applications in Biomedicine

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The main objective of this work is to perform an optimization methodology of the temporal parameters and operation thresholds (acceleration and energy) for the impact detection in an Accelerometer Smart Sensor. The procedure is based on a sequential approach to values that improve the sensitivity and the specificity of the impact detection. It was fed in its execution with a set of experiments of different daily activities, with and without impact. The values of the parameters obtained from the optimization were tested with a different set of experiments achieving a 100% success (zero false positives and zero false negatives), confirming the robustness of the procedure.

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“…Data used to find the thresholds as well as to validate the algorithm have been taken from the set of laboratory experiments carried out by our group [10]. The steps followed by the algorithm to estimate the possible falls can be divided into two parts:…”

Section: A Fall Detection Algorithmmentioning

confidence: 99%

“…The above limitations are overtaken by the movement monitor that the Biomedical Engineering Group has patented [9]- [10]. In this work we present a first approach to the design and functional aspects of a falling detection algorithm integrated in what we refer to as Multidevice Personal Intelligent Platform.…”

Section: Introductionmentioning

confidence: 99%

A proposal of a fall detection algorithm for a Multidevice Personal Intelligent Platform

Valderrama

Roa

Reina‐Tosina

et al. 2008

2008 8th IEEE International Conference on BioInformatics and BioEngineering

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In this paper methodological and design issues about the development of a personal platform for the control and processing of data acquired from intelligent biomedical sensors are presented. This platform is designed in the context of a telehealthcare system for the elderly with chronic diseases, and one of its objectives is to monitor and detect fall events. The main feature of the device is its on-line personalization to the patient through adaptive knowledge generation in realtime, which will result in special time execution requirements. As a result a fall detection algorithm proposal is described and analyzed.

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Viability study of a personalized and adaptive knowledge-generation telehealthcare system for nephrology (NEFROTEL)

Cited by 21 publications

References 35 publications

Tecnologia da informação em nefrologia

Tecnologia da informação em nefrologia

Optimization procedure for the impact detection thresholds in an Accelerometer Smart Sensor

A proposal of a fall detection algorithm for a Multidevice Personal Intelligent Platform

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