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Cancellation of Force Induced Artifacts in Surface EMG Using FSR Measurements
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2008 (English)In: Measuring Success in Upper Limb Prosthetics, Proceedings of Myoelectric Controls Symposium (MEC) 2008, 2008, 146-149 p.Chapter in book (Other academic)
Abstract [en]

Surface electromyograms (sEMG) contain artifacts induced by e.g. sweat, motion and external forces. These artifacts are undesirable because they impair the performance of prosthesis control systems. We have developed a prototype surface electromyogram (sEMG) sensor with three built-in force sensing resistors (FSRs) for measuring the external forces, which may be used to cancel artifacts caused by these forces. The performance of the sensor as an estimator of muscle force is presented in this paper. The sEMG and FSR signals have also been tested individually, as a reference for the performance using the combination of these signals.

Place, publisher, year, edition, pages
2008. 146-149 p.
URN: urn:nbn:no:ntnu:diva-20627ISBN: 978-1-55131-124-1OAI: diva2:615263

Distributed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License by UNB and the Institute of Biomedical Engineering, through a partnership with Duke University and the Open Prosthetics Project.

Available from: 2013-04-09 Created: 2013-04-09 Last updated: 2014-06-30Bibliographically approved
In thesis
1. Robust, Coordinated and Proportional Myoelectric Control of Upper-Limb Prostheses
Open this publication in new window or tab >>Robust, Coordinated and Proportional Myoelectric Control of Upper-Limb Prostheses
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

From a prosthesis user's viewpoint there is a wide range of challenges in prosthesis research, despite the recent progression in development and manufacturing of multifunction prostheses. A small part of these challenges has been solved during the work underlying this thesis.

The scope of this thesis is to review and assess the existing methods used for proportional control, develop and demonstrate methods for artifact cancellation to increase the control reliability, design and implement a viable strategy for coordinated proportional control of multiple joints, suggest an unambiguous terminology for prosthesis control systems, and contribute to the clinical assessment of the results.

The thesis is organized as a compendium of scientific papers.

Paper A contains a pilot study of how to attenuate force induced artifacts in surface electromyography by measuring the external forces.

Paper B contains a pilot study of the adverse effects of limb position on pattern recognition based myoelectric control, hereafter called the limb position effect. Papers C, D and E contain the continuation of this project. The limb position effect was resolved by using multiple limb positions in training of the control system, and further improvements were achieved by additional use of accelerometers as a measurement of the limb position (relative to gravity). It was demonstrated that these two solutions are efficient in normally limbed subjects. Inspired by this research, further studies on prosthesis users have been reported by others.

Paper F contains a comprehensive review of proportional myoelectric control of upper limb prostheses. The main findings was that the composition of the training data set and the choice of training method and optimization criterion are topics that need to be addressed in future research. This paper also contains a review of terminology in prosthesis control systems, and an unambiguous terminology has been suggested; a work that may improve communication, increase the understanding of the subject and stimulate to more structured research.

Paper G contains development and practical testing of simultaneous proportional control of two motor functions (wrist rotation and hand open/close). This required development of prosthesis guided training for proportional control, and design of a novel prosthesis socket (equivalent) for normally-limbed subjects.

This thesis has contributed towards the long-term goal of offering an intuitive and robust control system to the end users of upper limb prostheses.

Place, publisher, year, edition, pages
Trondheim: NTNU, 2013. 156 p.
Doctoral theses at NTNU, ISSN 1503-8181 ; 2013:98
electromyography, EMG, myoelectric, myoelectric signal, surface EMG, sEMG, proportional, prosthesis, upper limb, hand prosthesis, prosthesis control, myoelectric control, proportional control, simultaneous proportional control, robust control, sensor fusion, multimodal approach, artifact cancellation, artifact suppression, prosthesis use, prosthesis user, amputee, outcome measure, pattern recognition, rehabilitation, biomedical engineering
National Category
Medical technology
urn:nbn:no:ntnu:diva-20601 (URN)978-82-471-4293-6 (ISBN)978-82-471-4294-3 (ISBN)
Public defence
2013-04-26, EL2, Elektrobygget, NTNU Gløshaugen, Trondheim, 13:15 (English)
Available from: 2013-04-12 Created: 2013-04-02 Last updated: 2013-04-12Bibliographically approved

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