000175944 001__ 175944
000175944 005__ 20181203022651.0
000175944 0247_ $$2doi$$a10.1109/JPROC.2009.2038726
000175944 02470 $$2ISI$$a000275298100006
000175944 037__ $$aARTICLE
000175944 245__ $$aDecoding Information From Neural Signals Recorded Using Intraneural Electrodes: Toward the Development of a Neurocontrolled Hand Prosthesis
000175944 269__ $$a2010
000175944 260__ $$c2010
000175944 336__ $$aJournal Articles
000175944 520__ $$aThe possibility of controlling dexterous hand prostheses by using a direct connection with the nervous system is particularly interesting for the significant improvement of the quality of life of patients, which can derive from this achievement. Among the various approaches, peripheral nerve based intrafascicular electrodes are excellent neural interface candidates, representing an excellent compromise between high selectivity and relatively low invasiveness. Moreover, this approach has undergone preliminary testing in human volunteers and has shown promise. In this paper, we investigate whether the use of intrafascicular electrodes can be used to decode multiple sensory and motor information channels with the aim to develop a finite state algorithm that may be employed to control neuroprostheses and neurocontrolled hand prostheses. The results achieved both in animal and human experiments show that the combination of multiple sites recordings and advanced signal processing techniques (such as wavelet denoising and spike sorting algorithms) can be used to identify both sensory stimuli (in animal models) and motor commands (in a human volunteer). These findings have interesting implications, which should be investigated in future experiments.
000175944 6531_ $$aBionics
000175944 6531_ $$abiorobotics
000175944 6531_ $$acybernetic hand prostheses
000175944 6531_ $$aelectroneurographic (ENG) signals
000175944 6531_ $$ahybrid bionic systems
000175944 6531_ $$aintraneural interfaces
000175944 6531_ $$aHybrid Bionic Systems
000175944 6531_ $$aMyoelectric Control
000175944 6531_ $$aMachine Interface
000175944 6531_ $$aSensory Feedback
000175944 6531_ $$aUpper-Limb
000175944 6531_ $$aStimulation
000175944 6531_ $$aNeuroprosthesis
000175944 6531_ $$aReinnervation
000175944 6531_ $$aAmputation
000175944 6531_ $$aAmputees
000175944 700__ $$0246201$$aMicera, Silvestro$$g218366$$uScuola Super Sant Anna, Adv Robot Technol & Syst Lab, I-56127 Pisa, Italy
000175944 700__ $$aCiti, Luca$$uScuola Super Sant Anna, Adv Robot Technol & Syst Lab, I-56127 Pisa, Italy
000175944 700__ $$0247771$$aRigosa, Jacopo$$g241251$$uScuola Super Sant Anna, Adv Robot Technol & Syst Lab, I-56127 Pisa, Italy
000175944 700__ $$aCarpaneto, Jacopo$$uScuola Super Sant Anna, Adv Robot Technol & Syst Lab, I-56127 Pisa, Italy
000175944 700__ $$0246240$$aRaspopovic, Stanisa$$g221044$$uScuola Super Sant Anna, Adv Robot Technol & Syst Lab, I-56127 Pisa, Italy
000175944 700__ $$aDi Pino, Giovanni$$uCampus Biomed Univ, Biomed Robot & Biomicrosyst Lab, I-00128 Rome, Italy
000175944 700__ $$aRossini, Luca$$uCampus Biomed Univ, Biomed Robot & Biomicrosyst Lab, I-00128 Rome, Italy
000175944 700__ $$aYoshida, Ken$$uIndiana Univ Purdue Univ, Dept Biomed Engn, Indianapolis, IN 46202 USA
000175944 700__ $$aDenaro, Luca$$uCatholic Univ, Dept Neurosurg, I-00128 Rome, Italy
000175944 700__ $$aDario, Paolo$$uScuola Super Sant Anna, Adv Robot Technol & Syst Lab, I-56127 Pisa, Italy
000175944 700__ $$aRossini, Paolo Maria$$uCasa Cura S Raffaele, I-00128 Rome, Italy
000175944 773__ $$j98$$q407-417$$tProceedings Of The Ieee
000175944 909C0 $$0252419$$pTNE$$xU12522
000175944 909C0 $$0252517$$pCNP$$xU12599
000175944 909CO $$ooai:infoscience.tind.io:175944$$pSTI$$particle
000175944 937__ $$aEPFL-ARTICLE-175944
000175944 973__ $$aOTHER$$rREVIEWED$$sPUBLISHED
000175944 980__ $$aARTICLE