title: Combining ENG and EEG integrated analysis for better sensitivity and specificity of neuroprosthesis operations.
abstract: Combining non-invasive monitoring of action-related brain signals with the invasive recordings of the nerve motor output could provide robust natural and bidirectional multimodal Brain-Machine interfaces. One 26 years old, right-handed male who had suffered traumatic trans-radial amputation of the left arm was connected in a bidirectional way with a robotic hand prostheses. Cortical signals related with movement programming, execution, and feed-back were recorded by non-invasive scalp electrodes to detect high-level information (i.e. onset of movement intention), while the efferent neural activity containing the low-level commands towards the missing limb was recorded from the amputated nerves by multipolar intra-neural electrodes. The aim of this article is to report advanced experiences aiming to investigate whether information on "hand-related" activities can be decoded by the combined analysis of motor-related signals simultaneously gathered via intraneural electrodes implanted into the peripheral nervous system and scalp recorded electroencephalography signals to govern a dexterous hand prosthesis using the natural neural "pathway".
authors.affiliation: Biomedical Robotics and Biomicrosystems Laboratory, Università Campus Bio-Medico di Roma & IRCCS S.Raffaele-Pisana, Via Alvaro del Portillo 21, 00128, Italy. l.rossini@unicampus.it
authors.forename: Luca
authors.initials: L
authors.lastname: Rossini
authors.forename: Paolo M
authors.initials: PM
authors.lastname: Rossini
mesh_terms: D000328:Adult; D001132:Arm; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D008297:Male; D008328:Man-Machine Systems; D058117:Neural Prostheses; D058765:Neurofeedback / Q000295:instrumentation / Q000379:methods*; D012535:Scalp; D012656:Self-Help Devices; D012815:Signal Processing, Computer-Assisted