Title :
Burst-Modulated Waveforms Optimize Electrical Stimuli for Charge Efficiency and Fiber Selectivity
Author :
Qing, Kurt Y. ; Ward, Matthew P. ; Irazoqui, Pedro P.
Author_Institution :
Dept. of Biomed. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
We demonstrate an alternative method of designing electrical stimuli-termed burst modulation-for producing different patterns of nerve fiber recruitment. By delivering electrical charge in bursts of “pulsons”-miniature pulses-instead of as long continuous pulses, our method can optimize the waveform for stimulation efficiency and fiber selectivity. In our in vivo validation experiments, while maintaining C fibers of the rat vagus nerve at ~ 50% activation with different waveforms, the burst-modulated waveform produced 11% less A fiber activation than the standard rectangular pulse waveform (rectangular: 50.8±1.5% of maximal A response, mean ± standard error of the mean; burst-modulated: 39.8 ±1.3%), which equates to a 20% reduction in A fiber response magnitude. In addition, the burst-modulated waveform required 45% less stimulus charge per phase to maintain 50% C fiber activation (rectangular: 20.7 ±0.86 μC; burst-modulated: 11.3 ±0.41 μC). Burst-modulated waveforms produced consistent patterns of fiber recruitment within and across animals, which indicate that our methods of stimulus design and response analysis provide a reliable way to study neurostimulation and deliver therapy.
Keywords :
bioelectric potentials; neuromuscular stimulation; optimisation; prosthetics; waveform analysis; C fibers; burst-modulated waveforms; electrical charge efficiency; electrical stimuli optimization; electrical stimuli-termed burst modulation; fiber activation; fiber selectivity; maximal A response; mean standard error; nerve fiber recruitment; neurostimulation; pulsons; rat vagus nerve; response analysis; stimulus design; therapy delivery; Animals; Electrodes; Medical treatment; Modulation; Nerve fibers; Recruitment; Standards; Biofeedback; electrical stimulation; neural control; neural prosthesis;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2015.2421732