An artefact suppressing fast-recovery myoelectric amplifier

An amplifier for recording myoelectric signals using surface electrodes has been developed. The special features are suppression of stimulation artefacts and motion artefacts from electrodes. It is designed for recording of myoelectric signals from a muscle that is being stimulated with short impulses. The artifact suppression is achieved by using fast-recovery instrumentation amplifiers and having a nonlinear feedback loop for automatic compensation of changes in DC-offset.

[1]  H. Kwatny,et al.  An application of signal processing techniques to the study of myoelectric signals. , 1970, IEEE transactions on bio-medical engineering.

[2]  George N. Saridis,et al.  EMG Pattern Analysis and Classification for a Prosthetic Arm , 1982, IEEE Transactions on Biomedical Engineering.

[3]  M. Haugland,et al.  Artifact-free sensory nerve signals obtained from cuff electrodes during functional electrical stimulation of nearby muscles , 1994 .

[4]  H. W. Smit,et al.  A Low-Cost Multichannel Preamplifier for Physiological Signals , 1987, IEEE Transactions on Biomedical Engineering.

[5]  C. A. Grimbergen,et al.  Low-power, low-noise instrumentation amplifier for physiological signals , 1984, Medical and Biological Engineering and Computing.

[6]  J. Mizrahi,et al.  Stimulus artefact suppressor for EMG recording during FES by a constant-current stimulator , 2006, Medical and Biological Engineering and Computing.

[7]  D. D. Walker,et al.  A fast-recovery electrode amplifier for electrophysiology. , 1978, Electroencephalography and clinical neurophysiology.

[8]  M. Bilodeau,et al.  Variations in the shape of the EMG power spectrum during an increasing force level , 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

[9]  H. G. Goovaerts,et al.  A low noise isolated amplifier system for electrophysiological measurements: basic considerations and design , 2006, Medical and Biological Engineering and Computing.

[10]  Myoelectric Signals from Paretic Wrist Extensor Controlling Electrical Stimulation of the Same Muscle , 1996 .

[11]  Eli Isakov,et al.  EMG as an indicator of fatigue in isometrically FES-activated paralyzed muscles , 1994 .

[12]  R. Merletti,et al.  Electrically evoked myoelectric signals. , 1992, Critical reviews in biomedical engineering.

[13]  J. Webster Reducing Motion Artifacts and Interference in Biopotential Recording , 1984, IEEE Transactions on Biomedical Engineering.