A Comparison of Delay-and-Add and Maximum Likelihood Estimation for Velocity-Selective Recording Using Multi-Electrode Cuffs

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Abstract

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.

Original languageEnglish
Title of host publication2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Number of pages4
Volume2022
PublisherIEEE
Publication dateJul 2022
Pages4127-4130
ISBN (Print)978-1-7281-2783-5
ISBN (Electronic)978-1-7281-2782-8
DOIs
Publication statusPublished - Jul 2022
Event44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) - Glasgow, United Kingdom
Duration: 11 Jul 202215 Jul 2022
https://embc.embs.org/2022/

Conference

Conference44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Country/TerritoryUnited Kingdom
CityGlasgow
Period11/07/202215/07/2022
Internet address
SeriesI E E E Engineering in Medicine and Biology Society. Conference Proceedings
ISSN2375-7477

Bibliographical note

Funding information:
10.13039/501100000780-European Union (Grant Number: 754465)
10.13039/501100001732-Danish National Research Foundation (Grant Number: DNRF121)

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