title: Development of a microcontrolled bioinstrumentation system for active control of leg prostheses.
abstract: This article describes the design of a microcontrolled bioinstrumentation system for active control of leg prostheses, using 4-channel electromyographic signal (EMG) detection and a single-channel electrogoniometer. The system is part of a control and instrumentation architecture in which a master processor controls the tasks of slave microcontrollers, through a RS-485 interface. Several signal processing methods are integrated in the system, for feature extraction (Recursive Least Squares), feature projection (Self Organizing Maps), and pattern classification (Levenberg-Marquardt Neural Network). The acquisition of EMG signals and additional mechanical information could help improving the precision in the control of leg prostheses.
authors.affiliation: Department of Electric Engineering - Universidade de Brasilia, DF, Brazil. lopez_delis@yahoo.com
authors.forename: Alberto Lopez
authors.initials: AL
authors.lastname: Delis
authors.forename: Adson Ferreira
authors.initials: AF
authors.lastname: da Rocha
authors.forename: Icaro
authors.initials: I
authors.lastname: Dos Santos
authors.forename: Iwens Gervasio
authors.initials: IG
authors.lastname: Sene
authors.forename: Sauro
authors.initials: S
authors.lastname: Salomoni
authors.forename: Geovany Araujo
authors.initials: GA
authors.lastname: Borges
mesh_terms: D000465:Algorithms; D001186:Artificial Limbs; D004576:Electromyography / Q000295:instrumentation*; D006801:Humans; D007719:Knee Joint / Q000502:physiology; D007866:Leg; D016571:Neural Networks, Computer; D011474:Prosthesis Design / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted