LEADER 03321nam 2200481z- 450 001 9910136807903321 005 20231214133536.0 035 $a(CKB)3710000000631068 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/42297 035 $a(EXLCZ)993710000000631068 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn#---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiosignal processing and computational methods to enhance sensory motor neuroprosthetics 210 $cFrontiers Media SA$d2016 210 1$aLausanne, Switzerland :$cFrontiers Media SA,$d2016. 210 4$dİ2016 215 $a1 electronic resource (228 p.) 225 0 $aFrontiers Research Topics 311 $a2-88919-718-2 320 $aIncludes bibliographical references. 330 $aThough there have been many developments in sensory/motor prosthetics, they have not yet reached the level of standard and worldwide use like pacemakers and cochlear implants. One challenging issue in motor prosthetics is the large variety of patient situations, which depending on the type of neurological disorder. To improve neuroprosthetic performance beyond the current limited use of such systems, robust bio-signal processing and model-based control involving actual sensory motor state (with biosignal feedback) would bring about new modalities and applications, and could be a breakthrough toward adaptive neuroprosthetics. Recent advances of Brain Computer Interfaces (BCI) now enable patients to transmit their intention of movement. However, the functionality and controllability of motor prosthetics itself can be further improved to take advantage of BCI interfaces. In this Research Topic we welcome contribution of original research articles, computational and experimental studies, review articles, and methodological advances related to biosignal processing that may enhance the functionality of sensory motor neuroprosthetics. The scope of this topic includes, but is not limited to, studies aimed at enhancing: 1) computational biosignal processing in EMG (Electromyography), EEG (Electroencephalography), and other modalities of biofeedback information; 2) the computational method in modeling and control of sensory motor neuroprosthetics; 3) the systematic functionality aiming to provide solutions for specific pathological movement disorders; 4) human interfaces such as BCI - but in the case of BCI study, manuscripts should be experimental studies which are applied to sensory/motor neuroprosthetics in patients with motor disabilities. 606 $aBiosignal processing 606 $aNeuroprosthetics 610 $aBrain-computer interface 610 $aneuroprosthetics 610 $aElectromyography 610 $aElectroencephalography 610 $aNeurorehabilitation 615 0$aBiosignal processing. 615 0$aNeuroprosthetics. 700 $aJose L. Pons$4auth$0858489 702 $aMitsuhiro Hayashibe$4auth 702 $aDavid Guiraud$4auth 702 $aDario Farina$4auth 801 0$bUkMaJRU 906 $aBOOK 912 $a9910136807903321 996 $aBiosignal processing and computational methods to enhance sensory motor neuroprosthetics$93025489 997 $aUNINA