• DocumentCode
    2087370
  • Title

    Multi-signal Visualization of Physiology (MVP): A novel visualization dashboard for physiological monitoring of Traumatic Brain Injury patients

  • Author

    Sebastian, Kevin ; Sari, Vekil ; Liang Yu Loy ; Feng Zhang ; Zhuo Zhang ; Mengling Feng

  • Author_Institution
    Anglo-Chinese Sch., Singapore, Singapore
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    2000
  • Lastpage
    2003
  • Abstract
    To prevent Traumatic Brain Injury (TBI) patients from secondary brain injuries, patients´ physiological readings are continuously monitored. However, the visualization dashboards of most existing monitoring devices cannot effectively present all physiological information of TBI patients and are also ineffective in facilitating neuro-clinicians for fast and accurate diagnosis. To address these shortcomings, we proposed a new visualization dashboard, namely the Multi-signal Visualization of Physiology (MVP). MVP makes use of multi-signal polygram to collate various physiological signals, and it also utilizes colors and the concept of “safe/danger zones” to assist neuro-clinicians to achieve fast and accurate diagnosis. Moreover, MVP allows neuro-clinicians to review historical physiological statuses of TBI patients, which can guide and optimize clinicians´ diagnosis and prognosis decisions. The performance of MVP is tested and justified with an actual Philips monitoring device.
  • Keywords
    brain; injuries; patient monitoring; MVP system; Multisignal Visualization of Physiology; Philips monitoring device; TBI patients; multisignal polygram; neuroclinicians; physiological monitoring; secondary brain injury; traumatic brain injury; visualization dashboard; Biomedical monitoring; Brain injuries; Color; Market research; Monitoring; Visualization; Brain Injuries; Color; Humans; Monitoring, Physiologic; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346349
  • Filename
    6346349