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Memristor-Based Dynamic Modeling of Muscle Fatigue

  • Cleveland State University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We introduce a novel dynamic modeling paradigm to represent fatigue and recovery processes in muscles by dynamic extension of the classical 3-element Hill model. A memristor and a capacitor are used in a series circuit arrangement, with a voltage source representing muscle activation. This model is shown to capture the fundamental features of fatigue accumulation and recovery in response to arbitrary motion, load and activation profiles, in contrast with other work assuming specific input shapes such as constants or periodic functions. Further, the basic model is shown to capture the gradual increase in activation spectral amplitudes with fatigue progression, which is an experimental fact. The paper shows how the fatigue modeling element is integrated into larger musculoskeletal dynamic models. Possible modifications and extensions aimed at more flexibility are also suggested.
Original languageEnglish
Title of host publicationProceedings of the American Control Conference
Place of Publicationusa
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3968-3973
Number of pages6
ISBN (Electronic)9798331569372
DOIs
StatePublished - Jan 1 2025
Event2025 American Control Conference, ACC 2025 - Denver, United States
Duration: Jul 8 2025Jul 10 2025

Conference

Conference2025 American Control Conference, ACC 2025
Country/TerritoryUnited States
Period07/8/2507/10/25

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