MULTIMODAL INPUT DEVICE WITH SEMG AND CONTACT FORCE SENSORS

In myoelectric prostheses, movement artifacts are known to impair control performance. This study relates to a novel sensor which measures surface electromyograms (SEMG) as well as contact force at the electrode-skin interface. Its purpose is to explore the in-socket mechanical realities of movement artifacts in order to produce control algorithms that are more robust to said artifacts. The new sensor includes a commercial SEMG electrode and four surface-mounted force sensors, stacked within a plastic housing. Preliminary experiments in an experienced transradial user showed that sudden lack of control was often caused by electrode lift-off or re-connection. Future work will include algorithms for alleviating these problems.

[1]  R. N. Scott,et al.  Implantable myoelectric control system with sensory feedback , 2006, Medical and Biological Engineering and Computing.

[2]  Stefan Herrmann,et al.  Fusion of myoelectric and near-infrared signals for prostheses control , 2010 .

[3]  Ping Zhou,et al.  Real time ECG artifact removal for myoelectric prosthesis control , 2007, Physiological measurement.

[4]  Tom Chau,et al.  Coupled microphone-accelerometer sensor pair for dynamic noise reduction in MMG signal recording , 2003 .

[5]  A.D.C. Chan,et al.  Examining the adverse effects of limb position on pattern recognition based myoelectric control , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[6]  Carlo J. De Luca,et al.  The Use of Surface Electromyography in Biomechanics , 1997 .

[7]  J.A. Flint,et al.  Biomimetic finger control by filtering of distributed forelimb pressures , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[8]  K. Englehart,et al.  Resolving the Limb Position Effect in Myoelectric Pattern Recognition , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.