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Pilotphase Nationales Leistungszentrum - Low-Power-Elektronik für Sport- und Fitnessanwendungen In research cooperation with the Fraunhofer IIS and IISB,
as
well as local companies, this project is intended to
support
the pilot phase of the Nationales Leistungszentrum (NLZ)
for
electronic systems with regard to low power electronics
for
sports and fitness applications. Employing newly
developed
and existing wearable sensor technology, various
biosignals
of athletes or clinical subjects are to be recorded in
real-
life environments and successively evaluated. The goal
for
this particular project is for example the development
and
validation of (embedded) analysis procedures for vital
signs
using appropriate methods from the field of pattern
recognition research. The intention is to improve the
development of the sensor technology and to enable large-
scale individual or team-based statistical evaluations
which
can optimize the performance of athletes and reduce their
risk of injury. | Project manager: Prof. Dr. Björn Eskofier
Project participants: Dr.-Ing. Stefan Gradl, Dr.-Ing. Stephan Otto, Prof. Dr. Dr. Matthias Lochmann, Dr.-Ing. Heike Leutheuser, Dipl.-Ing. Nicolas Witt
Keywords: Digital Sports; Pattern Recognition; Sport Data Analysis; Wearable Sensors; Embedded Classification; Vital signs; ECG-Analysis
Duration: 1.2.2015 - 1.2.2017
Sponsored by: Bayerisches Staatsministerium für Wirtschaft und Medien, Energie und Technologie
| Publications |
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Leutheuser, Heike ; Tobola, Andreas ; Anneken, Lars ; Gradl, Stefan ; Arnold, Martin ; Lang, Nadine ; Achenbach, Stephan ; Eskofier, Björn: Arrhythmia classification using RR intervals: Improvement with sinusoidal regression feature. In: Institute of Electrical and Electronics Engineers (Ed.) : Wearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International Conference on (12th International Conference on Wearable and Implantable Body Sensor Networks (BSN) Cambridge, USA June, 9-12). 2015, pp n/a. | Lang, Nadine ; Brischwein, Matthias ; Haßlmeyer, Erik ; Tantinger, Daniel ; Feilner, Sven ; Heinrich, Axel ; Leutheuser, Heike ; Gradl, Stefan ; Weigand, Christian ; Eskofier, Björn ; Struck, Matthias: Filter and Processing Method to Improve R-Peak Detection for ECG Data with Motion Artefacts from Wearable Systems. In: Murray, A. (Ed.) : Computing in Cardiology 2015 (Computing in Cardiology Nice, France September 6-9, 2015). 2015, pp 917-920. | Tantinger, Daniel ; Zrenner, Markus ; Lang, Nadine ; Leutheuser, Heike ; Eskofier, Björn ; Weigand, Christian ; Struck, Matthias: Human Authentication Implemented for Mobile Applications Based on ECG-Data Acquired from Sensorized Garments. In: Murray, A. (Ed.) : Computing in Cardiology 2015 (Computing in Cardiology Nice, France September 6-9, 2015). 2015, pp 417-420. | Tobola, Andreas ; Streit, Franz ; Espig, Chris ; Korpok, Oliver ; Leutheuser, Heike ; Sauter, Christian ; Lang, Nadine ; Schmitz, Bjoern ; Hofmann, Christian ; Struck, Matthias ; Weigand, Christian ; Eskofier, Björn ; Fischer, Georg: Sampling rate impact on energy consumption of biomedical signal processing systems. In: Institute of Electrical and Electronics Engineers (Ed.) : Wearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International Conference on (12th International Conference on Wearable and Implantable Body Sensor Networks (BSN) Cambridge, USA June, 9-12). 2015, pp n/a. | Tobola, Andreas ; Espig, Chris ; Streit, Franz J. ; Korpok, Oliver ; Leutheuser, Heike ; Schmitz, Bjoern ; Hofmann, Christian ; Struck, Matthias ; Weigand, Christian ; Eskofier, Björn ; Fischer, Georg: Scalable ECG Hardware and Algorithms for Extended Runtime of Wearable Sensors. In: Institute of Electrical and Electronics Engineers (Ed.) : 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA Torino, Italy May, 7-9). 2015, pp 255-260. - ISBN 978-1-4799-6476-5 | Gradl, Stefan ; Leutheuser, Heike ; Elgendi, Mohamed ; Lang, Nadine ; Eskofier, Björn: Temporal correction of detected R-peaks in ECG signals: A crucial step to improve QRS detection algorithms. In: IEEE Engineering in Medicine and Biology Society (Ed.) : Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Milan, Italy August, 25-29). 2015, pp 522-525. | Mullan, Patrick ; Kanzler, Christoph M. ; Lorch, Benedikt ; Schroeder, Lea ; Winkler, Ludwig ; Laich, Larissa ; Riedel, Frederik ; Richer, Robert ; Luckner, Christoph ; Leutheuser, Heike ; Eskofier, Björn ; Pasluosta, Cristian: Unobtrusive Heart Rate Estimation during Physical Exercise using Photoplethysmographic and Acceleration Data. In: IEEE Engineering in Medicine and Biology Society (Ed.) : Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Milan, Italy August, 25-29). 2015, pp 6114-6117. | Leutheuser, Heike ; Gottschalk, Tristan ; Anneken, Lars ; Struck, Matthias ; Heuberger, Albert ; Arnold, Martin ; Achenbach, Stephan ; Eskofier, Björn: Automatic ECG Arrhythmia Detection in Real-Time on Android-based Mobile Devices. In: Daniel Novák (Ed.) : Proceedings of International Conference on Mobile and Information Technologies in Medicine and Health (MobileMed 2014 Czech Technical University, Prague November 20-21, 2014). 2014, pp n/a. - ISBN 978-80-01-05637-0 | Tobola, Andreas ; Korpok, Oliver ; Leutheuser, Heike ; Schmitz, Bjoern ; Hofmann, Christian ; Struck, Matthias ; Weigand, Christian ; Eskofier, Björn ; Heuberger, Albert ; Fischer, Georg: System Design Impacts on Battery Runtime of Wearable Medical Sensors. In: Daniel Novák (Ed.) : Proceedings of International Conference on Mobile and Information Technologies in Medicine and Health (MobileMed 2014 Czech Technical University, Prague November 20-21, 2014). 2014, pp n/a. - ISBN 978-80-01-05637-0 |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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