a bmi-based occupational therapy assist suit: asynchronous control by ssvep

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ID: 247509
2013
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Abstract
A brain-machine interface (BMI) is an interface technology that uses neurophysiological signals from the brain to control external machines. Recent invasive BMI technologies have succeeded in the asynchronous control of robot arms for a useful series of actions, such as reaching and grasping. In this study, we developed non-invasive BMI technologies aiming to make such useful movements using the subject's own hands by preparing a BMI-based occupational therapy assist suit (BOTAS). We prepared a pre-recorded series of useful actionsa grasping-a-ball movement and a carrying-the-ball movementand added asynchronous control using steady-state visual evoked potential (SSVEP) signals. A SSVEP signal was used to trigger the grasping-a-ball movement and another SSVEP signal was used to trigger the carrying-the-ball movement. A support vector machine was used to classify EEG signals recorded from the visual cortex (Oz) in real time. Untrained, able-bodied participants (n = 12) operated the system successfully. Classification accuracy and time required for SSVEP detection were approximately 88% and 3 s, respectively. We further recruited three patients with upper cervical spinal cord injuries; they also succeeded in operating the system without training. These data suggest that our BOTAS system is potentially useful in terms of rehabilitation of patients with upper limb disabilities.
Reference Key
esakurada2013frontiersa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Takeshi eSakurada;Toshihiro eKawase;Kouji eTakano;Tomoaki eKomatsu;Kenji eKansaku
Journal Journal of enzyme inhibition and medicinal chemistry
Year 2013
DOI
10.3389/fnins.2013.00172
URL
http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00172/full
Keywords
bmi bci ssvep exoskeleton neuropsychiatry biological psychiatry asynchronous controlneurosciences

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