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EMG based input and control system for lower limb prostheses

: Rosenberg, Harald von; Dennerlein, Florian

Präsentation urn:nbn:de:0011-n-1928341 (2.3 MByte PDF)
MD5 Fingerprint: 9690672e06a2d74090360712c1873012
Erstellt am: 11.2.2012

Volltext urn:nbn:de:0011-n-192834-10 (2.4 MByte PDF)
MD5 Fingerprint: a814396313ded9e4fbeda773f75e8bc2
Erstellt am: 11.2.2012

AMA Service GmbH, Wunstorf:
Sensor + Test Conference 2011. Short proceedings : Nürnberg Exhibition Centre, Germany, 7. - 9.6.2011 ; an event of the AMA Association for Sensor Technology / Sensor 2011, 15th International Conference on Sensors and Measurement Technology
Wunstorf: AMA Service, 2011
ISBN: 978-3-9810993-8-6
Sensor Proceedings D8.3, S.664-668
International Conference on Sensors and Measurement Technology (SENSOR) <15, 2011, Nürnberg>
Photonic Metrology International Conference on Optical Technologies for Sensing and Measurement (Opto) <10, 2011, Nürnberg>
International Conference on Infrared Sensors & Systems (IRS2) <12, 2011, Nürnberg>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPA ()
Prothese; Zustandsschätzung; EMG; Sensor-Array; Virtueller Sensor; Sensor; Biomedizinische Technik; Mustererkennung

Our goal is the development of a voluntary control input system for lower limb prostheses. For this purpose we use electromyography (EMG) with skin surface electrodes which is a common method for non-invasive measurement of electrical potential during muscle contraction which has not yet been applied successfully to lower limb prostheses due to the difficult signal conditions within the prosthesis socket. Our system will be integrated in the prosthesis socket, making the control system comfortable to wear and easy to use as no electrodes or other parts must be glued to the skin or manually repositioned and placed every day the prosthesis is worn. The control system is designed to allow the user to control a special function within an active powered prosthesis system, e.g. lifting the foot during walking or climbing stairs which are elementary tasks, performed by the subconscious mind of an non-amputee.
The control signal is derived by using remaining muscles of the residual limb. The active prosthesis function can be triggered either by a distinct stimulation of the muscle which is observed or by the subconscious muscle stimulation remaining after the amputation.
Our development offers a potential for further applications like computer input devices, security and safety application, sports and gaming or consumer device control and is not limited to medical applications.