• DocumentCode
    1601527
  • Title

    Scalable ECG Compression for Long-Term Home Health Care

  • Author

    Zhang, Tong ; Simske, Steven ; Blakley, Daniel

  • Author_Institution
    Hewlett-Packard Co., Palo Alto, CA
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    390
  • Lastpage
    393
  • Abstract
    Most current Holter devices monitor the ECG for 24 to 72 hours. However, for the accurate diagnosis of many cardiac diseases, especially for the wide variety of asymptomatic cases, continuous ECG monitoring for weeks or even months may be required. In this paper, we focus on the issue of ECG compression during long-term monitoring of the patient. The patient may be at home, at work, or even on a trip. A scalable compression scheme is proposed which ensures optimal signal quality given the limited physical storage on the wearable device. When necessary, the signal quality is progressively and gently degraded in order to adapt to environmental and the patient´s conditions. Details of the proposed scheme are described and sample results are presented
  • Keywords
    diseases; electrocardiography; health care; medical signal processing; patient monitoring; Holter devices; cardiac diseases; long-term home health care; long-term patient monitoring; scalable ECG compression; scalable compression scheme; Biomedical monitoring; Cardiac disease; Costs; Databases; Degradation; Electrocardiography; Hospitals; Medical services; Milling machines; Patient monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616427
  • Filename
    1616427