Title :
Biomimetic finger control by filtering of distributed forelimb pressures
Author :
Curcie, David J. ; Flint, James A. ; Craelius, William
Author_Institution :
Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA
fDate :
3/1/2001 12:00:00 AM
Abstract :
A linear filter was developed for decoding finger commands from volitional pressures distributed within the residual forelimb. Filter parameters were based on dynamic pressures recorded from the residual limb within its socket, during specific finger commands. A matrix of signal features was derived from eight-dimensional pressure vectors, and its pseudoinverse comprised the filter parameters. Results with amputees showed that the filter could discriminate specific finger flexion commands, suggesting that pressure vector decoding can provide them with biomimetic finger control.
Keywords :
artificial limbs; biocontrol; biomimetics; decoding; dexterous manipulators; filtering theory; medical robotics; medical signal processing; pressure sensors; signal restoration; 8D pressure vectors; amputees showed; biomimetic finger control; distributed forelimb pressures; dynamic pressures; filtering; finger commands decoding; linear filter; matrix of signal features; pressure vector decoding; prostheses; pseudoinverse; residual forelimb; robotic hand; signal recovery; threshold criterion; Biomimetics; Decoding; Filtering; Fingers; Magnetic sensors; Nonlinear filters; Pressure control; Prosthetics; Sockets; Vectors; Adult; Aged; Amputees; Arm; Biomechanics; Computer Systems; Equipment Design; Fingers; Humans; Male; Muscle, Skeletal; Prostheses and Implants; Reproducibility of Results; Robotics; Tendons; Volition;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/7333.918278