Bjoern M. Eskofier
TitleCited byYear
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
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), 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), 2014
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
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
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), 2013
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
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
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
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
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), 2017
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
Pattern classification of kinematic and kinetic running data to distinguish gender, shod/barefoot and injury groups with feature ranking
BM Eskofier, M Kraus, JT Worobets, DJ Stefanyshyn, BM Nigg
Computer methods in biomechanics and biomedical engineering 15 (5), 467-474, 2012
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
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
Phenolic compounds in NaOH extracts of UK soils and their contribution to antioxidant capacity
DL Rimmer, GD Abbott
European Journal of Soil Science 62 (2), 285-294, 2011
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
Removal of the electrocardiogram signal from surface EMG recordings using non-linearly scaled wavelets
V von Tscharner, B Eskofier, P Federolf
Journal of Electromyography and Kinesiology 21 (4), 683-688, 2011
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
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
The system can't perform the operation now. Try again later.
Articles 1–20