title: Motion classification using epidural electrodes for low-invasive brain-machine interface.
abstract: Brain-machine interfaces (BMIs) are expected to be used to assist seriously disabled persons' communications and reintegrate their motor functions. One of the difficult problems to realize practical BMI is how to record neural activity clearly and safely. Conventional invasive methods require electrodes inside the dura mater, and noninvasive methods do not involve surgery but have poor signal quality. Thus a low-invasive method of recording is important for safe and practical BMI. In this study, the authors used epidural electrodes placed between the skull and dura mater to record a rat's neural activity for low-invasive BMI. The signals were analyzed using a short-time Fourier transform, and the power spectra were classified into rat motions by a support vector machine. Classification accuracies were up to 96% in two-class discrimination, including that when the rat stopped, walked, and rested. The feasibility of a low-invasive BMI based on an epidural neural recording was shown in this study.
authors: Department of Precision Engineering, The University of Tokyo, Japan. uejima@robot.t.u-tokyo.ac.jp
authors: Takeshi
authors: T
authors: Uejima
authors: Kahori
authors: K
authors: Kita
authors: Toshiyuki
authors: T
authors: Fujii
authors: Ryu
authors: R
authors: Kato
authors: Masatoshi
authors: M
authors: Takita
authors: Hiroshi
authors: H
authors: Yokoi
mesh_terms: D000465:Algorithms; D000818:Animals; D004388:Dura Mater / Q000601:surgery*; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D019054:Evoked Potentials, Motor / Q000502:physiology*; D019060:Minimally Invasive Surgical Procedures / Q000379:methods; D009044:Motor Cortex / Q000502:physiology*; D009068:Movement / Q000502:physiology*; D051381:Rats; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014584:User-Computer Interface