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A Computational Approach to Enhance Control of Tactile Properties Evoked by Peripheral Nerve Stimulation

Tebcherani, Tanya Marie
http://orcid.org/0000-0002-8357-9040
http://rave.ohiolink.edu/etdc/view?acc_num=case1625780331134629

Abstract Details

2021, Master of Sciences, Case Western Reserve University, EECS - Electrical Engineering.
We elicit tactile sensation through peripheral nerve stimulation (PNS) for rehabilitation of people with limb loss. We use the Composite Flat Interface Nerve Electrode that has 15 contacts that can be used for stimulation individually or simultaneously. Current PNS paradigms designed for single-percept sensory restoration stimulate through a single contact. Existing biomimetic paradigms that reproduce aspects of natural afferent activity do not consider all four critical neural coding properties: firing rate, population size, type, and location. We present a new biomimetic PNS paradigm that approximates all four critical neural coding properties. Our paradigm provides multi-contact stimulation, where two contacts can be active simultaneously and contacts can be switched on a pulse-by-pulse basis throughout each stimulus. We show that switching between contacts outperforms using a single contact, as does using two-contact stimulation compared to single-contact stimulation. We hypothesize that our new paradigm can improve sensory feedback for those with limb loss.
Kenneth Loparo (Committee Chair)
Emily Graczyk (Advisor)
Dustin Tyler (Committee Member)
143 p.
Biomedical Engineering; Biomedical Research; Electrical Engineering; Neurosciences; Rehabilitation
peripheral nerve stimulation; neuroprosthesis; artificial touch; limb loss rehabilitation; tactile sensation; particle swarm optimization; biomimicry

Recommended Citations

Citations

  • Tebcherani, T. M. (2021). A Computational Approach to Enhance Control of Tactile Properties Evoked by Peripheral Nerve Stimulation [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1625780331134629

    APA Style (7th edition)

  • Tebcherani, Tanya. A Computational Approach to Enhance Control of Tactile Properties Evoked by Peripheral Nerve Stimulation. 2021. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1625780331134629.

    MLA Style (8th edition)

  • Tebcherani, Tanya. "A Computational Approach to Enhance Control of Tactile Properties Evoked by Peripheral Nerve Stimulation." Master's thesis, Case Western Reserve University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1625780331134629

    Chicago Manual of Style (17th edition)

case1625780331134629
179
© 2021, some rights reserved.Creative Commons License A Computational Approach to Enhance Control of Tactile Properties Evoked by Peripheral Nerve Stimulation by Tanya Marie Tebcherani is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.