• DocumentCode
    1244272
  • Title

    Data mining of motor patterns recorded with wearable technology

  • Author

    Bonato, Paolo ; Mork, Paul Jarle ; Sherrill, Delsey M. ; Westgaard, Rolf H.

  • Volume
    22
  • Issue
    3
  • fYear
    2003
  • Firstpage
    110
  • Lastpage
    119
  • Abstract
    Discusses utilizing self-organizing maps to manage large data sets gathered in the field. Dramatic advances in wearable technology suggest that wearable sensors and systems are close to deployment in the clinical field environment. Miniature, wireless sensors are becoming readily available due to the tremendous research efforts focused on this area as well as the great interest demonstrated by the private sector for the associated potential market of these devices. Wearable systems, including base stations and hand-held units, are becoming less cumbersome, with an ever-increasing capacity to receive and store vast amounts of data for extensive periods of time. Further, the growing availability of wireless LANs makes it possible to envision wearable systems from which data can be continuously uploaded, while hand-held units provide a means to communicate with the patient when needed.
  • Keywords
    biomechanics; biomedical transducers; data mining; electromyography; local area networks; reviews; self-organising feature maps; wearable computers; base stations; continuously uploaded data; hand-held units; medical instrumentation; motor patterns recorded with wearable technology; patient communication; wearable sensors; wearable technology advances; wireless LANs; Biomedical monitoring; Data mining; Heart rate; Intelligent sensors; Patient monitoring; Power system reliability; Skin; Temperature sensors; Wearable sensors; Wireless sensor networks; Activities of Daily Living; Algorithms; Arm; Artificial Intelligence; Back; Clothing; Database Management Systems; Databases, Factual; Diagnosis, Computer-Assisted; Electromyography; Humans; Information Storage and Retrieval; Miniaturization; Monitoring, Ambulatory; Movement; Muscle, Skeletal; Muscular Diseases; Pain; Pattern Recognition, Automated; Signal Processing, Computer-Assisted; Thigh;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/MEMB.2003.1213634
  • Filename
    1213634