A Comparison of Delay-and-Add and Maximum Likelihood Estimation for Velocity-Selective Recording Using Multi-Electrode Cuffs Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.1109/embc48229.2022.9870897
Extracting information from the peripheral nervous system with implantable devices remains a significant challenge that limits the advancement of closed-loop neural prostheses. Linear electrode arrays can record neural signals with both temporal and spatial selectivity, and velocity selective recording using the delay-and-add algorithm can enable classification based on fibre type. The maximum likelihood estimation method also measures velocity and is frequently used in electromyography but has never been applied to electroneurography. Therefore, this study compares the two algorithms using in-vivo recordings of electrically evoked compound action potentials from the ulnar nerve of a pig. The performance of these algorithms was assessed using the velocity quality factor (Q-factor), computational time and the influence of the number of channels. The results show that the performance of both algorithms is significantly influenced by the number of channels in the recording array, with accuracies ranging from 77% with only two channels to 98% for 11 channels. Both algorithms were comparable in accuracy and Q-factor for all channels, with the delay-and-add having a slight advantage in the Q-factor.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/embc48229.2022.9870897
- OA Status
- green
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4295519567
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4295519567Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/embc48229.2022.9870897Digital Object Identifier
- Title
-
A Comparison of Delay-and-Add and Maximum Likelihood Estimation for Velocity-Selective Recording Using Multi-Electrode CuffsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-07-11Full publication date if available
- Authors
-
Felipe Rettore Andreis, Benjamin Metcalfe, Taha Al Muhammadee Janjua, Suzan Meijs, M. A. Favretto, Winnie Jensen, Thomas N. NielsenList of authors in order
- Landing page
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https://doi.org/10.1109/embc48229.2022.9870897Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://vbn.aau.dk/da/publications/bcfc913f-fd20-4ccb-8cee-e23ade51b56dDirect OA link when available
- Concepts
-
Electroneuronography, Computer science, Electromyography, Neurophysiology, Block (permutation group theory), Algorithm, Mathematics, Biology, Psychology, Geometry, Neuroscience, PsychiatryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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14Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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