• DocumentCode
    3723854
  • Title

    Stochastic resonance for enhancing sensory perception: An emerging trend for ADL rehabilitation

  • Author

    Alpha Agape Gopalai; Boon Leong Lan;Darwin Gouwanda

  • Author_Institution
    Sch. of Eng., Monash Univ. Malaysia, Bandar Sunway, Malaysia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Advancements in postural rehabilitation for activities of daily living (ADL) have been attributed to usage of smart devices that provide biofeedback. However, these routines are dependent on somatosensory functionality. Therefore, patients with poor/declining somatosensory functions will not benefit from the prospects of biofeedback. Hence, there is a need for new concepts that results in methods and designs to restore declining somatosensory functions. Studies show that delivery of sub-threshold noise to the somatosensory can enhance human sensation and perception of their surrounding. Despite such claims, there are only few reports available that seek to understand the mechanism of human postural control in the presence of sub-threshold noise. The mechanism of delivering sub-threshold noise is known as stochastic resonance (SR). SR is based on the concept that flow of information through a system can be maximized by the presence of noise. The potential of SR has been observed in both man-made and natural systems, although noise has been traditionally viewed to degrade signal quality. This paper reviews the progress in incorporating SR in postural rehabilitation, and seeks to identify potential future directions and unanswered research questions, which need to be explored before SR routines can be fully incorporated in ADL rehabilitation.
  • Keywords
    "Wrist","Logic gates","Sensitivity","Artificial neural networks","Physiology"
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2015 - 2015 IEEE Region 10 Conference
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-8639-2
  • Electronic_ISBN
    2159-3450
  • Type

    conf

  • DOI
    10.1109/TENCON.2015.7373098
  • Filename
    7373098