Martin Ullrich, M. Sc.
- Organization: Department of Computer Science
- Working group: Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
- Phone number: +49 9131 85 20159
- Fax number: +49 9131 85 28980
- Email: martin.ullrich@fau.de
- Website: https://www.mad.tf.fau.de/person/martin-ullrich/
- Address: Carl-Thiersch-Straße 2b
91052 ErlangenRoom 01.026
| Since 01/2018 | Researcher and Ph.D. student
Machine Learning and Data Analytics Lab Department of Computer Science, Friedrich-Alexander-University Erlangen-Nuernberg (FAU) |
| 04/2017 – 09/2017 | Visiting Student
Human Performance Laboratory (HPL), University of Calgary Research internship with Master Thesis project, Supervisors: Benno Nigg, Vinzenz von Tscharner |
| 10/2015 – 12/2017 | Master’s Degree in Medical Engineering
Friedrich-Alexander-University Erlangen-Nuernberg (FAU) Master Thesis: “Coherence and Pattern Analysis of Bipolar EMG-Currents during Running” |
| 10/2011 – 09/2015 | Bachelor’s Degree in Medical Engineering
Friedrich-Alexander-University Erlangen-Nuernberg (FAU) Bachelor Thesis: “Recognition of Human Gait Using a Single Inertial- Magnetic Measurement Unit and Gait Specific Motion Models” Industrial internships at Dräger Medical GmbH in Lübeck and portabiles GmbH in Erlangen in cooperation with adidas AG in Herzogenaurach |
2018
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FallRiskPD: Long-term fall risk classification for Parkinson’s disease via intelligent sensor-based gait analysis in the home environment (Talk)
European Falls Festival 2018 (Manchester, 07/02/18 - 07/03/18)
URL: http://eufallsfest.eu/documents/Abstract Booklet.pdf
BibTeX: Download - , , , , :
Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units
In: Sensors 18 (2018), Art.Nr.: 4194
ISSN: 1424-8220
DOI: 10.3390/s18124194
BibTeX: Download - , , , , , , , :
Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation
Body Sensor Networks Conference (BSN) (Las Vegas, 03/04/18 - 03/07/18)
BibTeX: Download - , , , , :
A wavelet based time frequency analysis of electromyograms to group steps of runners into clusters that contain similar muscle activation patterns
In: PLoS ONE (2018)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0195125
BibTeX: Download - , , , , :
Beta, gamma band, and high-frequency coherence of EMGs of vasti muscles caused by clustering of motor units
In: Experimental Brain Research (2018)
ISSN: 0014-4819
DOI: 10.1007/s00221-018-5356-6
BibTeX: Download
- 01/2012 – 12/2017: Scholarship from German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes)