title: Continuous decoding of finger position from surface EMG signals for the control of powered prostheses.
abstract: As development toward multi-fingered dexterous prosthetic hands continues, there is a growing need for more flexible and intuitive control schemes. Through the use of generalized electrode placement and well-established methods of pattern recognition, we have developed a basis for asynchronous decoding of finger positions. With the present method, correlations as large as 0.91 and mean overall decoding errors of approximately 11% have been achieved with average decoding errors of between decoded and actual conformation of the metacarpophalangeal joints of individual fingers. It is hoped that these results will serve as a foundation from which to encourage further investigation into more intuitive methods of myoelectric control of powered upper limb prostheses.
authors.affiliation: Biomedical Engineering department, The Johns Hopkins University, Baltimore, MD, USA. rsmit145@jhu.edu
authors.forename: Ryan J
authors.initials: RJ
authors.lastname: Smith
authors.forename: Francesco
authors.initials: F
authors.lastname: Tenore
authors.forename: David
authors.initials: D
authors.lastname: Huberdeau
authors.forename: Ralph
authors.initials: R
authors.lastname: Etienne-Cummings
authors.forename: Nitish V
authors.initials: NV
authors.lastname: Thakor
mesh_terms: D000465:Algorithms; D004576:Electromyography / Q000295:instrumentation / Q000379:methods*; D004867:Equipment Design; D005246:Feedback / Q000502:physiology; D005385:Fingers / Q000502:physiology*; D006801:Humans; D009068:Movement / Q000502:physiology*; D009119:Muscle Contraction / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D019736:Prostheses and Implants; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity