Malte Ollenschläger

Malte Ollenschläger, M. Sc.

Researcher & PhD Candidate

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room 01.012
Carl-Thiersch-Straße 2b
91052 Erlangen

Phone number: +49 9131 85-27921
Email: malte.ollenschlaeger@fau.de
Website: https://www.mad.tf.fau.de/person/malte-ollenschlaeger/

Malte Ollenschläger’s Research Focus

Wearable sensor systems using inertial measurement units (IMUs) enable objective and ubiquitous gait analysis. Being technically validated and able to report spatio-temporal gait parameters (e.g. stride length, stride time, rotation angles) with a high resolution, they are still not used in clinical practice, for example in geriatrics. Most clinicians use more traditional methods like questionnaires or macro gait parameters such as walked distance within a certain time as measured by stopwatches.

My research focuses on applications of IMU-based gait analysis in geriatric wards to bridge the gap between research and clinical practice. Closing this gap is important because researchers could use the tremendous amount of data that is generated in everyday practice and thus build reliable models and algorithms. Furthermore, closing the gap can accelerate the translation of the developed methods into innovation in medicine.

Academic CV

Since 06/2020	Research Assistant Molekulare Neurologie Universitätsklinik Erlangen (UKER)
05/2020 – 11/2020	Fellow of Catalyst Europe
Since 01/2018	Research Assistant and Ph.D. candidate Machine Learning and Data Analytics Lab Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
06/2017 – 09/2017	Research Assistant Softwarelab Universidade do Vale do Rio dos Sinos (Unisinos) São Leopoldo, Brazil
10/2014 – 10/2016	M.Sc. in Medical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)Master Thesis: “Benchmarking Foot Trajectory Estimation Methods“
06/2011 – 01/2013	Student Assistant Medical Sensors and Devices Laboratory Technische Hochschule Lübeck
09/2010 – 08/2014	B.Sc. in Biomedical Engineering Technische Hochschule Lübeck, University of Applied Sciences Bachelor Thesis: “Entwicklung von Algorithmen zur Unterdrückung von Bewegungsartefakten in der Photoplethysmographie“

Awards

10/2017	Winner of the Open Research Challenge “IMAGINE” Development of a visualization tool for inertial sensor based gait analysis Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
02/2015	Bookprize Best student of the year award in the faculty of applied science Technische Hochschule Lübeck
09/2012 – 02/2014	Deutschlandstipendium Scholarship for excellent academic performance and volunter work Bundesministerium für Bildung und Forschung
03/2006	Rudolf-Hellebrandt-Preis In honor of volunteer work Fördergemeinschaft Kinderkrebs-Zentrum Hamburg e.V.

Publications

2019

Adams Seewald L., Facco Rodrigues V., Ollenschläger M., Stoffel Antunes R., Andre da Costa C., da Rosa Righi R., da Silveira Junior LG., Maier A., Eskofier B., Fahrig R.:
Toward analyzing mutual interference on infrared-enabled depth cameras
In: Computer Vision and Image Understanding (2019)
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2018.09.010
BibTeX: Download
Kurz J., Tharmalingam V., Pryakhina N., Hunger A., Ollenschläger M., Eskofier B.:
A wearable obstacle detection system for visually impaired people
41st International Engineering in Medicine and Biology Conference (Berlin, 23. July 2019 - 27. July 2019)
In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019
BibTeX: Download

2018

Stoffel Antunes R., Adams Seewald L., Facco Rodrigues V., Facco Rodrigues V., Andre da Costa C., da Silveira Junior LG., da Rosa Righi R., Maier A., Eskofier B., Ollenschläger M., Naderi Boldaji F., Fahrig R., Bauer S., Klein S., Campanatti G.:
A Survey of Sensors in Healthcare Workflow Monitoring
In: ACM Computing Surveys 51 (2018), Article No.: 42
ISSN: 0360-0300
DOI: 10.1145/3177852
URL: https://dl.acm.org/citation.cfm?id=3177852
BibTeX: Download
Ullrich M., Gladow T., Roth N., Küderle A., Ollenschläger M., Gaßner H., Winkler J., Klucken J., Eskofier B.:
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, 2. July 2018 - 3. July 2018)
In: European Falls Festival, 2nd and 3rd July 2018, Manchester, United Kingdom, ABSTRACT BOOKLET 2018
URL: http://eufallsfest.eu/documents/Abstract Booklet.pdf
BibTeX: Download

2017

Hannink J., Ollenschläger M., Kluge F., Roth N., Klucken J., Eskofier B.:
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.
In: Sensors 17 (2017)
ISSN: 1424-8220
DOI: 10.3390/s17091940
BibTeX: Download

Research Projects

Talks

2020

“IMU Data Processing and its Application in Gait Analysis”, Lightning Talks Computer Science, FAU, Erlangen.
“Ganganalyse bei geriatrischen Patienten mittels mobiler Sensoren”, Sitzung AGAPLESION Arbeitsbereich Geriatrie, Frankfurt am Main.

Teaching

Malte Ollenschläger was the Scrum Master of several Teams in the Innovation Lab for Wearable and Ubiquitous Computing:

Malte Ollenschläger

Malte Ollenschläger, M. Sc.

Malte Ollenschläger’s Research Focus

Academic CV Academic CV

Awards Awards

Publications Publications

2022

2021

2020