Feasibility of a telemedicine framework for collaborative pacemaker follow-up.

We propose a telemedicine framework for remote and manufacturer independent pacemaker (PM) follow-up. The main goal is to provide the caregiver at the point-of-care with an efficient screening method to identify possible malfunction of the pacing system in collaboration with the specialist at the PM...

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Publicado en:Journal of Telemedicine & Telecare Vol. 13; no. 7; pp. 341 - 348
Autores principales: Kollmann A, Hayn D, García J, Trigo JD, Kastner P, Rotman B, Tscheliessnigg K, Schreier G
Formato: research Journal Article
Publicado: Sage Publications Inc. Oct2007
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2007
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      pub: Sage Publications Inc.
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        atl: Feasibility of a telemedicine framework for collaborative pacemaker follow-up.
      aug:
        au:
          Kollmann A
          Hayn D
          García J
          Trigo JD
          Kastner P
          Rotman B
          Tscheliessnigg K
          Schreier G
        affil: Austrian Research Centers GmbH - ARC, eHealth Systems, Graz, Austria
      sug:
        subj:
          Pacemaker, Artificial
          Telemedicine
          Telemetry Equipment and Supplies
          Aged
          Aged, 80 and Over
          Algorithms
          Electrocardiography
          Female
          Health Care Delivery Methods
          Home Health Care
          Male
          Middle Age
          Pilot Studies
          Human
          Aged: 65+ years
          Aged, 80 & over
          Middle Aged: 45-64 years
          Female
          Male
      ab: We propose a telemedicine framework for remote and manufacturer independent pacemaker (PM) follow-up. The main goal is to provide the caregiver at the point-of-care with an efficient screening method to identify possible malfunction of the pacing system in collaboration with the specialist at the PM clinic. The concept was evaluated in a clinical trial on 44 patients (mean age 76 years). A total of 62 electrocardiogram (ECG) recordings were transmitted using a mobile PM follow-up unit. Using the automatic classification algorithm, 32 PMs were classified as 'OK' and eight PMs were classified as 'not OK'. In four cases a prediction regarding the working status of the PM was not possible. The signal processing classification was confirmed by expert classification (manual review of the ECG). The results indicate that the proposed PM follow-up concept has the potential to work as an efficient screening method and may spare a significant number of patients the burden of having to travel to specialized PM clinics.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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