title: Efficient search and fit methods to find nerve stimulation parameters for multi-contact electrodes.
abstract: This paper describes a method to efficiently sample EMG recruitment space over a wide range of pulse amplitude (PA) and pulse width (PW). A gradient based search method is developed to find high information areas of a recruitment surface. This search method is first examined in the context of simulated EMG recruitment data and its ability to sample and subsequently fit Gompertz-Function-inspired surfaces to it. The search method is then used to determine parameters when stimulating through an 8 contact flat interface nerve electrode (FINE). The recorded EMG recruitment data are then used to validate the Gompertz surface fitting method as well as the search method.
authors.affiliation: Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA. mxf218@case.edu
authors.forename: Max J
authors.initials: MJ
authors.lastname: Freeberg
authors.forename: Matthew A
authors.initials: MA
authors.lastname: Schiefer
authors.forename: Ronald J
authors.initials: RJ
authors.lastname: Triolo
mesh_terms: D000465:Algorithms; D004558:Electric Stimulation / Q000295:instrumentation / Q000379:methods; D004599:Electric Stimulation Therapy / Q000379:methods*; D004566:Electrodes; D004567:Electrodes, Implanted; D004576:Electromyography / Q000379:methods*; D006801:Humans; D009132:Muscles / Q000473:pathology; D009474:Neurons / Q000473:pathology; D011999:Recruitment, Neurophysiological / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D013499:Surface Properties