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

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Abstrakt

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.

OriginalsprogEngelsk
Titel2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Antal sider4
Vol/bind2022
ForlagIEEE
Publikationsdatojul. 2022
Sider4127-4130
ISBN (Trykt)978-1-7281-2783-5
ISBN (Elektronisk)978-1-7281-2782-8
DOI
StatusUdgivet - jul. 2022
Begivenhed44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) - Glasgow, Storbritannien
Varighed: 11 jul. 202215 jul. 2022
https://embc.embs.org/2022/

Konference

Konference44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Land/OmrådeStorbritannien
ByGlasgow
Periode11/07/202215/07/2022
Internetadresse
NavnI E E E Engineering in Medicine and Biology Society. Conference Proceedings
ISSN2375-7477

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