Polysynaptic activity is necessary to engage the neural circuitry that controls the motor behaviour and is crucial to the recovery after spinal cord injury (SCI) [1]. Polysynaptic responses can be elicited with spinal cord stimulation, and there are few reports on these types of responses in human electrophysiology, most of them describing them as constant to fixed stimuli. However, we have observed that the responses fluctuate in amplitude and time. Amplitude variations can be analysed with statistical methods. However, time fluctuations are more complex due to the multiple parameters involved. This work describes a methodology to analyse the time fluctuation in the responses of each pulse. It is based on the calculation of the signal temporal centroid, representing the whole activity, weighted by its latency, in a single time value. This value is then used to model the temporal fluctuation with linear regression. The methodology was verified with an electromyography dataset from a discomplete spinal cord injured patient with spinal cord stimulation. The parameter is able to follow small changes in the responses' distribution. Examples of how the temporal centroid and linear model identify the fluctuations are presented. Once fitted in a linear model, the fluctuation coefficient describes time fluctuations in the interneuron processing and, together with amplitude metrics, can characterise changes in polysynaptic responses during the application of fixed stimulation parameters.
Issue
Open Access
Volume 8, Issue 3 - Proceedings of the 14th Vienna International Workshop on Functional Electrical Stimulation; Guest Editors: Winfried Mayr and Manfred Bijak
September 2022
Contents
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Open AccessEstimation of the time fluctuation of polysynaptic responses evoked by constant spinal cord stimulationSeptember 6, 2022
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September 6, 2022
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September 6, 2022
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Open AccessExploring methods for targeted activation of the sympathetic nervous system without exerciseSeptember 6, 2022
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September 6, 2022
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September 6, 2022
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Open AccessSmartStim: A Recurrent Neural Network Assisted Adaptive Functional Electrical Stimulation for WalkingSeptember 6, 2022
Issues in this Volume
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Issue 3Proceedings of the 14th Vienna International Workshop on Functional Electrical Stimulation; Guest Editors: Winfried Mayr and Manfred Bijak
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Issue 2Proceedings of the 2022 Joint Annual Conference of the Austrian (ÖGBMT), German (VDE DGBMT) and Swiss (SSBE) Societies for Biomedical Engineering; Guest Editors: Daniel Baumgarten and Johannes Vorwerk
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Issue 1Proceedings of the CURAC 2022 Annual Meeting, Karlsruhe, September 15–17, 2022
Issues in this Volume
-
Issue 3Proceedings of the 14th Vienna International Workshop on Functional Electrical Stimulation; Guest Editors: Winfried Mayr and Manfred Bijak
-
Issue 2Proceedings of the 2022 Joint Annual Conference of the Austrian (ÖGBMT), German (VDE DGBMT) and Swiss (SSBE) Societies for Biomedical Engineering; Guest Editors: Daniel Baumgarten and Johannes Vorwerk
-
Issue 1Proceedings of the CURAC 2022 Annual Meeting, Karlsruhe, September 15–17, 2022