• DocumentCode
    184652
  • Title

    Neural prosthesis for motor function restoration in upper limb extremity

  • Author

    Nag, Sudip ; Kian Ann Ng ; Jagadeesan, Rangarajan ; Sheshadri, Swathi ; Delgado-Martinez, Ignacio ; Bossi, Silvia ; Shih-Cheng Yen ; Thakor, Nitish V.

  • Author_Institution
    Singapore Inst. for Neurotechnology (SINAPSE), Nat. Univ. of Singapore (NUS), Singapore, Singapore
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    388
  • Lastpage
    391
  • Abstract
    Restoration of motor function in cases of peripheral nerve injury is a challenging problem. Although peripheral nerves do regenerate, the time required for peripheral nerves to regenerate often causes atrophy to occur in the muscles before they can be re-innervated. This paper presents a solution through proximal recording of nerve signals and distal muscle stimulation. A fully implantable hardware architecture is described that can be operated by means of inductive power and MICS band data transmission schemes. Preliminary experiments and validation studies are reported with non-human primates based on recordings in the median nerve, stimulation of hand muscles, and task decoding and classification. This approach shows promise in creating a neural prosthesis capable of restoring hand movements in patients with upper limb peripheral nerve injuries.
  • Keywords
    bioelectric phenomena; decoding; gait analysis; injuries; medical signal processing; muscle; neurophysiology; prosthetics; signal classification; MICS band data transmission; distal muscle stimulation; hand movements; hand muscle stimulation; implantable hardware architecture; median nerve; motor function restoration; nerve signals; neural prosthesis; proximal recording; task classification; task decoding; upper limb extremity; upper limb peripheral nerve injuries; Decoding; Electrodes; Hardware; Injuries; Muscles; Prosthetics; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/BioCAS.2014.6981744
  • Filename
    6981744