Authors:
Samuel Romero
1
;
Alberto Guillén
2
;
Cristóbal J. Carmona
2
;
C. Morillas
3
;
F. Pelayo
3
and
H. Pomares
3
Affiliations:
1
University of Jaén, Spain
;
2
University of Jaen, Spain
;
3
University of Granada, Spain
Keyword(s):
Visual prostheses, Electrical neurostimulation, Bioelectric waveform, Genetic algorithms.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Instrumentation
;
Biomedical Instruments and Devices
;
Devices
;
Health Monitoring Devices
;
Human-Computer Interaction
;
Physiological Computing Systems
;
Technologies Evaluation
Abstract:
Among the variety of approaches for developing therapies for the blind, electrical neurostimulation of the visual pathways seems to be a promising choice. Delivering bi-phasic bioelectric pulses to the nerves implies the selection of values for a number of parameters within a wide range. This needs to be done for every implanted electrode, and for every patient. Nowadays, electrode arrays can include up to one hundred channels, and we expect to raise to thousands of them in a near future. This unavoidable task becomes extremely time-consuming both for the researcher and for the patient. Therefore, in order to reduce the number of tests to be carried out in vivo, we propose the use of multi-objective genetic algorithms that can provide a limited set of candidate waveforms to be tried.