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A Hybrid Computational Model to Optimize NMES Parameters
Başlık:
A Hybrid Computational Model to Optimize NMES Parameters
Yazar:
Arguello, Patrick D., author.
ISBN:
9780438070189
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (135 pages)
Genel Not:
Source: Masters Abstracts International, Volume: 57-06M(E).
Advisors: Deborah S. Won Committee members: Shaurya Agarwal; Ray DeLeon.
Özet:
Neuromuscular electrical stimulation (NMES) shows promise in restoring a degree of ambulatory function in patients who have sustained spinal cord injury (SCI). These therapeutic effects are enabled via stimulation of both the efferent (motor) or afferent (sensory) fibers found in the peripheral nervous system. It has been shown that by changing stimulus parameters, the efferent or afferent pathways could be activated preferentially. Several studies have been published demonstrating the specific stimulus parameters required to preferentially activate the afferent pathway. Most of these studies, however, utilize surface electrodes, with little research done on percutaneous stimulation involving implanted microelectrodes. By developing an electrophysiologically accurate model of efferent/afferent fibers as well as that of the microelectrode, we hope to identify the optimal stimulus parameters for aerent ber recruitment in our NMES-based therapy. Our simulations reveal that short pulsewidth (50 micros), low-frequency (30 - 100 Hz) stimulation provides greater activation of sensory axons over motor axons in the context of intramuscular NMES.
Notlar:
School code: 0962
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(692700.1) | 692700-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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