Bjoern M. Eskofier

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Citations	9697	7838
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Jochen KluckenUniversity of Luxembourg, Luxembourg Institute of Health, Centre Hospitalier du LuxembourgVerified email at uni.lu
Heiko GassnerAssistant Professor, University Hospital ErlangenVerified email at uk-erlangen.de
Jens BarthMaD Lab Erlangen-NürnbergVerified email at fau.de
Patrick KuglerResearcher at the Pattern Recognition Lab, University of Erlangen-NurembergVerified email at cs.fau.de
Jürgen WinklerProfessor für Neurologie, Universitätsklinikum ErlangenVerified email at uk-erlangen.de
Felix KlugeNovartis Institutes for BioMedical Research (NIBR)Verified email at novartis.com
Cristian PasluostaResearch Group Leader, University of FreiburgVerified email at imtek.uni-freiburg.de
Heike LeutheuserMedical Data Science, Institute for Machine Learning, ETH ZürichVerified email at inf.ethz.ch
Dominik SchuldhausDigital Sports Group, University of Erlangen-Nürnberg (FAU)Verified email at fau.de
Stefan GradlFriedrich-Alexander University Erlangen-Nürnberg (FAU)Verified email at fau.de
Arne KüderlePhD Student, Machine Learning and Data Analytics Lab, FAU ErlangenVerified email at fau.de
Ulf JensenResearcher at the Pattern Recognition Lab, University of ErlangenVerified email at informatik.uni-erlangen.de
Julius HanninkFriedrich-Alexander University Erlangen-Nürnberg (FAU)Verified email at fau.de
Thomas KautzMachine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Joachim HorneggerProfessor of Computer Science, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Franz MarxreiterDr. med.Verified email at uk-erlangen.de
Robert RicherMachine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Christine F. MartindaleFriedrich-Alexander University Erlangen-NürnbergVerified email at fau.de
Benjamin H. GrohMachine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Nils RothPhD Student, Machine Learning and Data Analytics LabVerified email at fau.de

Bjoern M. Eskofier

Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg

Verified email at fau.de - Homepage

Machine Learning Artificial Intelligence Wearable Computing Digital Health Biomedical Engineering


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Technology in Parkinson's disease: challenges and opportunities AJ Espay, P Bonato, FB Nahab, W Maetzler, JM Dean, J Klucken, ... Movement Disorders 31 (9), 1272-1282, 2016	518	2016
An emerging era in the management of Parkinson's disease: wearable technologies and the internet of things CF Pasluosta, H Gassner, J Winkler, J Klucken, BM Eskofier IEEE journal of biomedical and health informatics 19 (6), 1873-1881, 2015	327	2015
Inertial sensor-based stride parameter calculation from gait sequences in geriatric patients A Rampp, J Barth, S Schülein, KG Gaßmann, J Klucken, BM Eskofier IEEE transactions on biomedical engineering 62 (4), 1089-1097, 2014	309	2014
Wearable sensors objectively measure gait parameters in Parkinson’s disease JCM Schlachetzki, J Barth, F Marxreiter, J Gossler, Z Kohl, S Reinfelder, ... PloS one 12 (10), e0183989, 2017	266	2017
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	255	2013
Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems M Elgendi, B Eskofier, S Dokos, D Abbott PloS one 9 (1), e84018, 2014	252	2014
Internet of health things: toward intelligent vital signs monitoring in hospital wards CA Da Costa, CF Pasluosta, B Eskofier, DB Da Silva, R da Rosa Righi Artificial intelligence in medicine 89, 61-69, 2018	215	2018
Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices S Gradl, P Kugler, C Lohmüller, B Eskofier 2012 annual international conference of the IEEE engineering in medicine and …, 2012	209	2012
Hierarchical, multi-sensor based classification of daily life activities: comparison with state-of-the-art algorithms using a benchmark dataset H Leutheuser, D Schuldhaus, BM Eskofier PloS one 8 (10), e75196, 2013	194	2013
Stride segmentation during free walk movements using multi-dimensional subsequence dynamic time warping on inertial sensor data J Barth, C Oberndorfer, C Pasluosta, S Schülein, H Gassner, S Reinfelder, ... Sensors 15 (3), 6419-6440, 2015	191	2015
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 and …, 2011	169	2011
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment BM Eskofier, SI Lee, JF Daneault, FN Golabchi, G Ferreira-Carvalho, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016	161	2016
Activity recognition in beach volleyball using a Deep Convolutional Neural Network: Leveraging the potential of Deep Learning in sports T Kautz, BH Groh, J Hannink, U Jensen, H Strubberg, BM Eskofier Data Mining and Knowledge Discovery 31, 1678-1705, 2017	155	2017
Sensor-based gait parameter extraction with deep convolutional neural networks J Hannink, T Kautz, CF Pasluosta, KG Gaßmann, J Klucken, BM Eskofier IEEE journal of biomedical and health informatics 21 (1), 85-93, 2016	153	2016
Multimodal assessment of Parkinson's disease: a deep learning approach JC Vásquez-Correa, T Arias-Vergara, JR Orozco-Arroyave, B Eskofier, ... IEEE journal of biomedical and health informatics 23 (4), 1618-1630, 2018	145	2018
Towards mobile gait analysis: concurrent validity and test-retest reliability of an inertial measurement system for the assessment of spatio-temporal gait parameters F Kluge, H Gaßner, J Hannink, C Pasluosta, J Klucken, BM Eskofier Sensors 17 (7), 1522, 2017	129	2017
An overview of smart shoes in the internet of health things: gait and mobility assessment in health promotion and disease monitoring BM Eskofier, SI Lee, M Baron, A Simon, CF Martindale, H Gaßner, ... Applied Sciences 7 (10), 986, 2017	127	2017
Mobile stride length estimation with deep convolutional neural networks J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ... IEEE journal of biomedical and health informatics 22 (2), 354-362, 2017	118	2017
Temporal trajectory aware video quality measure M Barkowsky, J Bialkowski, B Eskofier, R Bitto, A Kaup IEEE Journal of Selected Topics in Signal Processing 3 (2), 266-279, 2009	102	2009
Support vector machines for detecting age-related changes in running kinematics RK Fukuchi, BM Eskofier, M Duarte, R Ferber Journal of Biomechanics 44 (3), 540-542, 2011	93	2011

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