Eskofier BM - Search Results

1

Marker-based classification of young-elderly gait pattern differences via direct PCA feature extraction and SVMs.

Eskofier BM, Federolf P, Kugler PF, Nigg BM. Eskofier BM, et al. Comput Methods Biomech Biomed Engin. 2013 Apr;16(4):435-42. doi: 10.1080/10255842.2011.624515. Epub 2011 Dec 8. Comput Methods Biomech Biomed Engin. 2013. PMID: 22149087

2

Pattern classification of kinematic and kinetic running data to distinguish gender, shod/barefoot and injury groups with feature ranking.

Eskofier BM, Kraus M, Worobets JT, Stefanyshyn DJ, Nigg BM. Eskofier BM, et al. Comput Methods Biomech Biomed Engin. 2012;15(5):467-74. doi: 10.1080/10255842.2010.542153. Epub 2011 May 24. Comput Methods Biomech Biomed Engin. 2012. PMID: 21294006

3

Removal of the electrocardiogram signal from surface EMG recordings using non-linearly scaled wavelets.

von Tscharner V, Eskofier B, Federolf P. von Tscharner V, et al. J Electromyogr Kinesiol. 2011 Aug;21(4):683-8. doi: 10.1016/j.jelekin.2011.03.004. Epub 2011 Apr 5. J Electromyogr Kinesiol. 2011. PMID: 21470876

4

[Mobile biosensor-based gait analysis: a diagnostic and therapeutic tool in Parkinson's disease].

Klucken J, Barth J, Maertens K, Eskofier B, Kugler P, Steidl R, Hornegger J, Winkler J. Klucken J, et al. Nervenarzt. 2011 Dec;82(12):1604-11. doi: 10.1007/s00115-011-3329-0. Nervenarzt. 2011. PMID: 21748456 German.

5

Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices.

Gradl S, Kugler P, Lohmuller C, Eskofier B. Gradl S, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2452-5. doi: 10.1109/EMBC.2012.6346460. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23366421

6

A wireless trigger for synchronization of wearable sensors to external systems during recording of human gait.

Kugler P, Schlarb H, Blinn J, Picard A, Eskofier B. Kugler P, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4537-40. doi: 10.1109/EMBC.2012.6346976. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23366937

7

Unbiased and mobile gait analysis detects motor impairment in Parkinson's disease.

Klucken J, Barth J, Kugler P, Schlachetzki J, Henze T, Marxreiter F, Kohl Z, Steidl R, Hornegger J, Eskofier B, Winkler J. Klucken J, et al. PLoS One. 2013;8(2):e56956. doi: 10.1371/journal.pone.0056956. Epub 2013 Feb 19. PLoS One. 2013. PMID: 23431395 Free PMC article.

8

Somnography using unobtrusive motion sensors and Android-based mobile phones.

Gradl S, Leutheuser H, Kugler P, Biermann T, Kreil S, Kornhuber J, Bergner M, Eskofier B. Gradl S, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:1182-5. doi: 10.1109/EMBC.2013.6609717. Annu Int Conf IEEE Eng Med Biol Soc. 2013. PMID: 24109904

9

Automatic recognition of Parkinson's disease using surface electromyography during standardized gait tests.

Kugler P, Jaremenko C, Schlachetzki J, Winkler J, Klucken J, Eskofier B. Kugler P, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:5781-4. doi: 10.1109/EMBC.2013.6610865. Annu Int Conf IEEE Eng Med Biol Soc. 2013. PMID: 24111052

10

Comparison of real-time classification systems for arrhythmia detection on Android-based mobile devices.

Leutheuser H, Gradl S, Kugler P, Anneken L, Arnold M, Achenbach S, Eskofier BM. Leutheuser H, et al. Among authors: eskofier bm. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:2690-3. doi: 10.1109/EMBC.2014.6944177. Annu Int Conf IEEE Eng Med Biol Soc. 2014. PMID: 25570545

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