Title
Decoding Information From Neural Signals Recorded Using Intraneural Electrodes: Toward the Development of a Neurocontrolled Hand Prosthesis
Abstract
The 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.
Year
DOI
Venue
2010
10.1109/JPROC.2009.2038726
Proceedings of the IEEE
Keywords
Field
DocType
biomedical electrodes,brain models,decoding,electroencephalography,electromyography,mechanoception,medical robotics,medical signal processing,neurophysiology,prosthetics,sensory aids,signal denoising,sorting,wavelet transforms,animal models,decoding information,dexterous hand prosthesis,electroneurographic signals,finite state algorithm,hybrid bionic systems,intrafascicular electrodes,intraneural electrodes,motor information channels,multiple sensory,nervous system,neural interface,neural signal recording,neurocontrolled hand prosthesis,peripheral nerve,sensory stimuli,signal processing techniques,spike sorting algorithms,wavelet denoising,Bionics,biorobotics,cybernetic hand prostheses,electroneurographic (ENG) signals,hybrid bionic systems,intraneural interfaces
Biomedical engineering,Signal processing,Neuroprosthetics,Spike sorting,Neurophysiology,Pattern recognition,Brain–computer interface,Neural Prosthesis,Artificial intelligence,Engineering,Sensory system,Electroencephalography
Journal
Volume
Issue
ISSN
98
3
0018-9219
Citations 
PageRank 
References 
10
0.84
10
Authors
4
Name
Order
Citations
PageRank
Silvestro Micera110025.68
luca citi216827.88
Rigosa, J.3100.84
Jacopo Carpaneto4293.92