A Signal-to-Noise Investigation of Nonlinear Electromyographic Processors
- 1 July 1974
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering
- Vol. BME-21 (4) , 298-308
- https://doi.org/10.1109/tbme.1974.324317
Abstract
A general class of nonlinear electromyographic (EMG) processors has been evaluated for their signal-to-noise ratio (SNR) properties. These filters incorporate as the detector element either a power-law (xn) or root-law (x1/n) transformation (detector) followed by a linear low-pass smoothing filter. ``Linearized'' versions of these processors in which the smoothing filter is followed by an element with the inverse detector characteristics were also evaluated.Keywords
This publication has 8 references indexed in Scilit:
- A state variable averaging filter for electromyogram processingMedical & Biological Engineering & Computing, 1972
- A Dynamic Model of Behavior in a Discrete Open-Loop Self-Paced Motor SkillIEEE Transactions on Systems, Man, and Cybernetics, 1972
- The Determination of an Optimum Size Cylindrical Handle by Use of ElectromyographyErgonomics, 1971
- Cross-modality matching of muscular tension to loudnessPerception & Psychophysics, 1971
- Signal Versus Noise Characteristics of Filtered EMG Used as a Control SourceIEEE Transactions on Biomedical Engineering, 1971
- Myoelectric Signals in Control of Prostheses: Studies on Arm Amputees and Normal IndividualsActa Orthopaedica, 1969
- Muscular Activity Pattern for Skilled Performance and During Learning of a Horizontal Bar ExerciseErgonomics, 1968
- HUMAN PILOT DYNAMICS IN COMPENSATORY SYSTEMSPublished by Defense Technical Information Center (DTIC) ,1965