Patrick Kugler
Patrick Kugler
Researcher at the Pattern Recognition Lab, University of Erlangen-Nuremberg
Email verificata su cs.fau.de
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Unbiased and mobile gait analysis detects motor impairment in Parkinson's disease
J Klucken, J Barth, P Kugler, J Schlachetzki, T Henze, F Marxreiter, Z Kohl, ...
PloS one 8 (2), e56956, 2013
2012013
Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices
S Gradl, P Kugler, C LohmŘller, B Eskofier
2012 annual international conference of the IEEE engineering in medicine andá…, 2012
1842012
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, ...
2011 Annual International Conference of the IEEE Engineering in Medicine andá…, 2011
1402011
Stride segmentation during free walk movements using multi-dimensional subsequence dynamic time warping on inertial sensor data
J Barth, C Oberndorfer, C Pasluosta, S SchŘlein, H Gassner, S Reinfelder, ...
Sensors 15 (3), 6419-6440, 2015
1262015
Marker-based classification of young–elderly gait pattern differences via direct PCA feature extraction and SVMs
BM Eskofier, P Federolf, PF Kugler, BM Nigg
Computer methods in biomechanics and biomedical engineering 16 (4), 435-442, 2013
532013
Shimmer, Cooja and Contiki: A new toolset for the simulation of on-node signal processing algorithms
P Kugler, P Nordhus, B Eskofier
2013 IEEE International Conference on Body Sensor Networks, 1-6, 2013
422013
Estimation of the knee flexion-extension angle during dynamic sport motions using body-worn inertial sensors
C Jakob, P Kugler, F Hebenstreit, S Reinfelder, U Jensen, D Schuldhaus, ...
Proceedings of the 8th International Conference on Body Area Networks, 289-295, 2013
392013
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, ...
2013 35th Annual International Conference of the IEEE Engineering iná…, 2013
382013
Comparison of real-time classification systems for arrhythmia detection on Android-based mobile devices
H Leutheuser, S Gradl, P Kugler, L Anneken, M Arnold, S Achenbach, ...
2014 36th Annual International Conference of the IEEE Engineering iná…, 2014
352014
Automatic recognition of Parkinson's disease using surface electromyography during standardized gait tests
P Kugler, C Jaremenko, J Schlachetzki, J Winkler, J Klucken, B Eskofier
2013 35th Annual International Conference of the IEEE Engineering iná…, 2013
332013
Software-based performance and complexity analysis for the design of embedded classification systems
M Ring, U Jensen, P Kugler, B Eskofier
Proceedings of the 21st International Conference on Pattern Recognitioná…, 2012
332012
Combined accelerometer and EMG analysis to differentiate essential tremor from Parkinson's disease
NH Ghassemi, F Marxreiter, CF Pasluosta, P Kugler, J Schlachetzki, ...
2016 38th Annual International Conference of the IEEE Engineering iná…, 2016
322016
Classification of muscle activity based on effort level during constant pace running
LM Stirling, V von Tscharner, PF Kugler, BM Nigg
Journal of Electromyography and Kinesiology 21 (4), 566-571, 2011
302011
Mobile recording system for sport applications
P Kugler, D Schuldhaus, U Jensen, B Eskofier
Proceedings of the 8th international symposium on computer science in sportá…, 2011
232011
A wearable sensor system for sports and fitness applications
P Blank, P Kugler, H Schlarb, B Eskofier
19th Annu. Congr. of the European College of Sport Science, 2014
212014
The effect of sprint and endurance training on electromyogram signal analysis by wavelets
C Huber, B G÷pfert, PFX Kugler, V Von Tscharner
The Journal of Strength & Conditioning Research 24 (6), 1527-1536, 2010
212010
A wireless trigger for synchronization of wearable sensors to external systems during recording of human gait
P Kugler, H Schlarb, J Blinn, A Picard, B Eskofier
2012 Annual International Conference of the IEEE Engineering in Medicine andá…, 2012
192012
Embedded classification of the perceived fatigue state of runners: Towards a body sensor network for assessing the fatigue state during running
B Eskofier, P Kugler, D Melzer, P Kuehner
2012 Ninth International Conference on Wearable and Implantable Body Sensorá…, 2012
192012
Unobtrusive and energy-efficient swimming exercise tracking using on-node processing
U Jensen, P Blank, P Kugler, BM Eskofier
IEEE Sensors Journal 16 (10), 3972-3980, 2016
182016
Approaching the accuracy–cost conflict in embedded classification system design
U Jensen, P Kugler, M Ring, BM Eskofier
Pattern Analysis and Applications 19 (3), 839-855, 2016
172016
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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