Efficiency analysis of waveform shape for electrical excitation of nerve fibers

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 18, Issue 3, 2010, Pages 319-328

  Wongsarnpigoon, Amorn ^a   Woock, John P ^a   Grill, Warren M ^a  

^a Duke University   (United States)

Author keywords

Charge efficiency; Computational modeling; Energy efficiency; Implantable stimulators; Power efficiency

Indexed keywords

BATTERY LIFE; CHARGE EFFICIENCY; COMPUTATIONAL MODELING; EFFICIENCY ANALYSIS; ELECTRICAL EXCITATION; ENERGY EFFICIENT; EXPONENTIAL WAVEFORM; EXPONENTIALS; IMPLANTABLE STIMULATORS; IN-VIVO EXPERIMENTS; LEAST ENERGY; NERVE FIBERS; NEURAL STIMULATIONS; NEURAL STIMULATOR; OPTIMAL SHAPE; POPULATION MODEL; POWER EFFICIENCY; POWER EFFICIENT; PULSE WIDTH; SCIATIC NERVES; SQUARE WAVEFORM; STIMULATION PARAMETERS; TISSUE DAMAGE; WAVE FORMS; WAVEFORM SHAPE;

DECAY (ORGANIC); ELECTROPHYSIOLOGY; ENERGY EFFICIENCY; LITHIUM BATTERIES; MAMMALS; OPTIMIZATION;

COMPUTATIONAL EFFICIENCY;

BATTERIES; DECAY; ENERGY; MAMMALS; OPTIMIZATION; PLANT TISSUES; STIMULATION;

ALGORITHM; ANIMAL; ARTICLE; CAT; COMPUTER SIMULATION; ELECTROPHYSIOLOGY; ELECTROSTIMULATION; METHODOLOGY; MYELINATED NERVE; NERVE FIBER; PHYSIOLOGY; SCIATIC NERVE; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; AXONS; CATS; COMPUTER SIMULATION; ELECTRIC STIMULATION; ELECTROPHYSIOLOGY; MODELS, STATISTICAL; NERVE FIBERS; NERVE FIBERS, MYELINATED; SCIATIC NERVE;

EID: 77953235390     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2010.2047610     Document Type: Article

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