Genetic algorithm reveals energy-efficient waveforms for neural stimulation

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Volumn , Issue , 2009, Pages 634-637

  Wongsarnpigoon, Amorn ^a   Grill, Warren M ^a  

^a Duke University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; BIOLOGY; ELECTRIC BATTERIES; ELECTROPHYSIOLOGY; ENERGY UTILIZATION; GENETIC ALGORITHMS; MAMMALS;

ACTION POTENTIALS; BATTERY REPLACEMENTS; BIOLOGICAL EVOLUTION; EXTRACELLULAR STIMULATION; IMPLANTABLE STIMULATORS; NEURAL STIMULATIONS; OPTIMIZED WAVEFORMS; STIMULATION WAVEFORMS;

ENERGY EFFICIENCY;

EID: 77950977909     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5333722     Document Type: Conference Paper

References (9)

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