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Use of spatiotemporal templates for pathway discrimination in peripheral nerve recordings: a simulation study
- Source :
- Journal of neural engineering. 14(1)
- Publication Year :
- 2016
-
Abstract
- Extraction of information from the peripheral nervous system can provide control signals in neuroprosthetic applications. However, the ability to selectively record from different pathways within peripheral nerves is limited. We investigated the integration of spatial and temporal information for pathway discrimination in peripheral nerves using measurements from a multi-contact nerve cuff electrode.Spatiotemporal templates were established for different neural pathways of interest, and used to obtain tailored matched filters for each of these pathways. Simulated measurements of compound action potentials propagating through the nerve in different test cases were used to evaluate classification accuracy, percentage of missed spikes, and ability to reconstruct the original firing rates of the neural pathways.The mean Pearson correlation coefficients between the original firing rates and estimated firing rates over all tests cases was found to be 0.832 ± 0.161, 0.421 ± 0.145, 0.481 ± 0.340 for our algorithm, Bayesian spatial filters, and velocity selective recordings respectively.The proposed method shows that the spatiotemporal templates were able to provide more robust spike detection and reliable pathway discrimination than these existing algorithms.
- Subjects :
- Electrodiagnosis
Computer science
Speech recognition
0206 medical engineering
Models, Neurological
Biomedical Engineering
Neural Conduction
Action Potentials
02 engineering and technology
03 medical and health sciences
Cellular and Molecular Neuroscience
0302 clinical medicine
Spatio-Temporal Analysis
Peripheral nerve
Neural Pathways
medicine
Animals
Humans
Computer Simulation
medicine.diagnostic_test
020601 biomedical engineering
Sciatic Nerve
Rats
Sciatic nerve
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 17412552
- Volume :
- 14
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of neural engineering
- Accession number :
- edsair.doi.dedup.....ab78a6be640ffa59c9c61311d5698285