Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Textile integrated contactless EMG sensing for stress analysis

: Taelman, J.; Adriaensen, T.; Horst, C. van der; Linz, Torsten; Spaepen, A.

Fulltext urn:nbn:de:0011-n-658186 (2.5 MByte PDF)
MD5 Fingerprint: 1dcd27faeecea150914edd0f082edfb1
© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Created on: 19.12.2013

IEEE Engineering in Medicine and Biology Society -EMBS-:
29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007 : August 23-26, 2007, Cité Internationale, Lyon, France, in conjunction with the biennial conference of the Société Française de Génie Biologique et Médical (SFGBM)
New York, NY: IEEE, 2007
ISBN: 978-1-4244-0788-0
ISBN: 1-4244-0787-7
ISBN: 978-1-4244-0787-3
IEEE Engineering in Medicine and Biology Society (Annual International Conference EMBS) <29, 2007, Lyon>
Conference Paper, Electronic Publication
Fraunhofer IZM ()

Stress has become an important issue in today's society. Forty to fifty percent of the work related illnesses are directly or indirectly related to stress. In the ConText project, a biofeedback shirt for daily use is being developed to register muscle activity. The user receives feedback about muscle fatigue and/or the level of stress in order to lower the risk on musculoskeletal disorders. Comfort is an important factor to lower the acceptance threshold to wear the shirt. To achieve optimal comfort, the project aims for unobtrusive measurements with contactless sensors which are textile integrated. Working with contactless sensors induces new challenges for instance the displacement of the sensor in the shirt relative to the anatomical position of the muscles. This could affect the recorded signal and lead to errors in the signal. In this paper, we present the results of the quantification of this misalignment. Secondly, we present the first tests with the embroidered sensor.