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Wearable static posturography solution using a novel pressure sensor sole.

S. Reinfelder, F. Durlak, J. Barth, J. Klucken, and B. Eskofier. EMBC, page 2973-2976. IEEE, (2014)

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Dr. Jochen Seidel University of Stuttgart

Hon. -Prof. Dr. Jochen Mannhart University of Stuttgart

Jochen Wiedemann University of Stuttgart

Jochen Fähndrich University of Stuttgart

Hon. -Prof. Dr. -Ing. Carl-Jochen Winter University of Stuttgart

Other publications of authors with the same name

Guest Editorial: Enabling Technologies for Parkinson's Disease Management.J. Klucken, K. Friedl, B. Eskofier, and J. Hausdorf. IEEE J. Biomedical and Health Informatics, 19 (6): 1775-1776 (2015)Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation.C. Kanzler, J. Barth, A. Rampp, H. Schlarb, F. Rott, J. Klucken, and B. Eskofier. EMBC, page 5424-5427. IEEE, (2015)Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease.J. Barth, M. Sünkel, K. Bergner, G. Schickhuber, J. Winkler, J. Klucken, and B. Eskofier. EMBC, page 5122-5125. IEEE, (2012)Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease.N. Ghassemi, J. Hannink, C. Martindale, H. Gassner, M. Müller, J. Klucken, and B. Eskofier. Sensors, 18 (1): 145 (2018)Automatic recognition of Parkinson's disease using surface electromyography during standardized gait tests.P. Kugler, C. Jaremenko, J. Schlachetzki, J. Winkler, J. Klucken, and B. Eskofier. EMBC, page 5781-5784. IEEE, (2013)Subsequence dynamic time warping as a method for robust step segmentation using gyroscope signals of daily life activities.J. Barth, C. Oberndorfer, P. Kugler, D. Schuldhaus, J. Winkler, J. Klucken, and B. Eskofier. EMBC, page 6744-6747. IEEE, (2013)Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson's disease.J. Barth, J. Klucken, P. Kugler, T. Kammerer, R. Steidl, J. Winkler, J. Hornegger, and B. Eskofier. EMBC, page 868-871. IEEE, (2011)Pull test estimation in Parkinson's disease patients using wearable sensor technology.C. Pasluosta, J. Barth, H. Gassner, J. Klucken, and B. Eskofier. EMBC, page 3109-3112. IEEE, (2015)Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment.B. Eskofier, S. Lee, J. Daneault, F. Golabchi, G. Ferreira-Carvalho, G. Vergara-Diaz, S. Sapienza, G. Costante, J. Klucken, T. Kautz and 1 other author(s). EMBC, page 655-658. IEEE, (2016)Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.J. Hannink, M. Ollenschläger, F. Kluge, N. Roth, J. Klucken, and B. Eskofier. Sensors, 17 (9): 1940 (2017)

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Disambiguation of "Klucken, Jochen"

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Wearable static posturography solution using a novel pressure sensor sole.

Please choose a person to relate this publication to

Dr. Jochen Seidel University of Stuttgart

Hon. -Prof. Dr. Jochen Mannhart University of Stuttgart

Jochen Wiedemann University of Stuttgart

Jochen Fähndrich University of Stuttgart

Hon. -Prof. Dr. -Ing. Carl-Jochen Winter University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Klucken, Jochen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Wearable static posturography solution using a novel pressure sensor sole.

Please choose a person to relate this publication to

Dr. Jochen Seidel University of Stuttgart

Hon. -Prof. Dr. Jochen Mannhart University of Stuttgart

Jochen Wiedemann University of Stuttgart

Jochen Fähndrich University of Stuttgart

Hon. -Prof. Dr. -Ing. Carl-Jochen Winter University of Stuttgart

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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Wearable static posturography solution using a novel pressure sensor sole.