Title :
Detection of Sensory Events from Acute Spinal Cord Recordings
Author :
Borisoff, Jaimie F. ; McPhail, Lowell T. ; Mason, Steve G. ; Birch, Gary E. ; Ramer, Matt S.
Author_Institution :
Neil Squire Found., Vancouver, BC
Abstract :
We used acute multi-channel extracellular recording techniques to extract neural activity associated with external sensory events from the spinal cords of rats. Five classes of sensory events were recorded - electrical stimulation of the nerves in each of four digits from one forepaw and periods during which no stimulation occurred (idle periods). A simple feature extraction and classification scheme was devised to classify external sensory events during single trials. The five classes of sensory events were correctly identified at a mean accuracy of over 93%. Thus, we have shown the feasibility to detect and classify peripheral sensory information from multichannel recordings of the spinal cord. This would be useful following spinal cord injury, for example, in a closed-loop neural prosthetic for partial restoration of motor function through functional electrical stimulation
Keywords :
bioelectric phenomena; cellular biophysics; feature extraction; medical signal detection; medical signal processing; neuromuscular stimulation; prosthetics; signal classification; acute multi-channel extracellular recording; acute spinal recordings; closed-loop neural prosthetics; electrical stimulation; external sensory events; feature extraction; forepaw; functional electrical stimulation; neural activity; peripheral sensory information; rat spinal cords; sensory event detection; signal classification; spinal cord injury; Bladder; Data mining; Disk recording; Event detection; Nervous system; Neuromuscular stimulation; Prosthetics; Rats; Spinal cord; Spinal cord injury;
Conference_Titel :
Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-8710-4
DOI :
10.1109/CNE.2005.1419611