• DocumentCode
    41511
  • Title

    Home Telemonitoring of Vital Signs—Technical Challenges and Future Directions

  • Author

    Celler, Branko G. ; Sparks, Ross S.

  • Author_Institution
    Digital Productivity & Services (DP&S)Flagship, Commonwealth Sci. & Ind. Res. Organ. (CSIRO), Sydney, NSW, Australia
  • Volume
    19
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    82
  • Lastpage
    91
  • Abstract
    The telemonitoring of vital signs from the home is an essential element of telehealth services for the management of patients with chronic conditions, such as congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), diabetes, or poorly controlled hypertension. Telehealth is now being deployed widely in both rural and urban settings, and in this paper, we discuss the contribution made by biomedical instrumentation, user interfaces, and automated risk stratification algorithms in developing a clinical diagnostic quality longitudinal health record at home. We identify technical challenges in the acquisition of high-quality biometric signals from unsupervised patients at home, identify new technical solutions and user interfaces, and propose new measurement modalities and signal processing techniques for increasing the quality and value of vital signs monitoring at home. We also discuss use of vital signs data for the automated risk stratification of patients, so that clinical resources can be targeted to those most at risk of unscheduled admission to hospital. New research is also proposed to integrate primary care, hospital, personal genomic, and telehealth electronic health records, and apply predictive analytics and data mining for enhancing clinical decision support.
  • Keywords
    biomedical telemetry; cardiology; data acquisition; data mining; diseases; electronic health records; genomics; home computing; lung; medical disorders; medical signal processing; patient monitoring; quality management; risk analysis; telemedicine; user interfaces; CHF; COPD; automated risk stratification algorithm; biomedical instrumentation; chronic condition patient management; chronic obstructive pulmonary disease; clinical decision support enhancement; clinical diagnostic quality; clinical resource targeting; congestive heart failure; data mining; diabetes; future home telemonitoring direction; high-quality biometric signal acquisition; home telemonitoring technical challenge; hospital record integration; longitudinal health record; measurement modality; personal genomic record integration; poorly controlled hypertension; predictive analytics; primary care record integration; rural setting; signal processing technique; technical solution; telehealth electronic health record; telehealth service; unscheduled admission risk; unsupervised patient; urban setting; user interface; vital sign monitoring quality; vital sign monitoring value; vital sign telemonitoring; Biomedical monitoring; Diseases; Electrocardiography; Hospitals; Medical diagnostic imaging; Monitoring; Telehealth; biomedical instrumentation; biomedical signal processing; medical expert systems; vital signs;
  • fLanguage
    English
  • Journal_Title
    Biomedical and Health Informatics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2168-2194
  • Type

    jour

  • DOI
    10.1109/JBHI.2014.2351413
  • Filename
    6882171