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ORCIDJochen Klucken
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2020 – today
- 2024
[j17]Cyril Brzenczek
, Quentin Klopfenstein, Tom Hähnel, Holger Fröhlich, Enrico Glaab, Geeta Acharya, Gloria Aguayo, Myriam Alexandre, Muhammad Ali, Wim Ammerlann, Giuseppe Arena, Michele Bassis, Roxane Batutu, Katy Beaumont, Sibylle Béchet, Guy Berchem, Alexandre Bisdorff, Ibrahim Boussaad, David Bouvier, Lorieza Castillo, Gessica Contesotto, Nancy De Bremaeker, Brian Dewitt, Nico Diederich, Rene Dondelinger, Nancy E. Ramia, Angelo Ferrari, Katrin Frauenknecht, Joëlle Fritz, Carlos Gamio, Manon Gantenbein, Piotr Gawron, Laura Georges, Soumyabrata Ghosh, Marijus Giraitis, Martine Goergen, Elisa Gómez de Lope, Jérôme Graas, Mariella Graziano, Valentin Groues, Anne Grünewald, Gaël Hammot, Anne-Marie Hanff, Linda Hansen, Michael Heneka, Estelle Henry, Margaux Henry, Sylvia Herbrink, Sascha Herzinger, Alexander Hundt, Nadine Jacoby, Sonja Jónsdóttir, Jochen Klucken, Olga Kofanova, Rejko Krüger, Pauline Lambert, Zied Landoulsi, Roseline Lentz, Ana Festas Lopes, Victoria Lorentz, Tainá M. Marques, Guilherme Marques, Patricia Martins Conde, Patrick May, Deborah Mcintyre, Chouaib Mediouni, Francoise Meisch, Alexia Mendibide, Myriam Menster, Maura Minelli, Michel Mittelbronn, Saïda Mtimet, Maeva Munsch, Romain Nati, Ulf Nehrbass, Sarah Nickels, Beatrice Nicolai, Jean-Paul Nicolay, Maria Fernanda Niño Uribe, Fozia Noor, Clarissa P. C. Gomes, Sinthuja Pachchek, Claire Pauly, Laure Pauly, Lukas Pavelka, Magali Perquin, Achilleas Pexaras, Armin Rauschenberger, Rajesh Rawal, Dheeraj Reddy Bobbili, Lucie Remark, Ilsé Richard, Olivia Roland, Kirsten Roomp, Eduardo Rosales, Stefano Sapienza, Venkata Satagopam, Sabine Schmitz, Reinhard Schneider, Jens Schwamborn, Raquel Severino, Amir Sharify, Ruxandra Soare, Ekaterina Soboleva, Kate Sokolowska, Maud Theresine, Hermann Thien, Elodie Thiry, Rebecca Ting Jiin Loo, Johanna Trouet, Olena Tsurkalenko, Michel Vaillant, Carlos Vega, Liliana Vilas Boas, Paul Wilmes, Evi Wollscheid-Lengeling, Gelani Zelimkhanov:
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. npj Digit. Medicine 7(1) (2024)- 2023
- [j16]João Elison da Rosa Tavares, Martin Ullrich, Nils Roth, Felix Kluge, Bjoern M. Eskofier, Heiko Gaßner, Jochen Klucken, Till Gladow, Franz Marxreiter, Cristiano André da Costa, Rodrigo da Rosa Righi, Jorge Luis Victória Barbosa:
uTUG: An unsupervised Timed Up and Go test for Parkinson's disease. Biomed. Signal Process. Control. 81: 104394 (2023) - [j15]Martin Ullrich, Nils Roth, Arne Küderle, Robert Richer, Till Gladow, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge:
Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. IEEE J. Biomed. Health Informatics 27(1): 319-328 (2023) - [c22]Hamid Moradi, Julius Hannink, Sabine Stallforth, Till Gladow, Stefan Ringbauer, Martin Mayr, Jürgen Winkler, Jochen Klucken, Bjoern M. Eskofier:
Monitoring medication optimization in patients with Parkinson's disease. EMBC 2023: 1-4 - 2022
- [j14]Nils Roth, Martin Ullrich, Arne Küderle, Till Gladow, Franz Marxreiter, Heiko Gassner, Felix Kluge, Jochen Klucken, Bjoern M. Eskofier:
Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson's Disease. IEEE J. Biomed. Health Informatics 26(9): 4733-4742 (2022) - 2021
- [j13]Verena Jakob, Arne Küderle, Felix Kluge, Jochen Klucken, Bjoern M. Eskofier, Jürgen Winkler, Martin Winterholler, Heiko Gassner:
Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson's Disease. Sensors 21(22): 7680 (2021) - [c21]Nils Roth, Georg P. Wieland, Arne Küderle, Martin Ullrich, Till Gladow, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge:
Do We Walk Differently at Home? A Context-Aware Gait Analysis System in Continuous Real-World Environments. EMBC 2021: 1932-1935 - [c20]Johanna Happold, Robert Richer, Arne Küderle, Heiko Gaßner, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge:
Evaluation of Orthostatic Reactions in Real-World Environments Using Wearable Sensors. EMBC 2021: 6987-6990 - [c19]Robert Schleicher, Marlies Nitschke, Jana Martschinke, Marc Stamminger, Björn M. Eskofier, Jochen Klucken, Anne D. Koelewijn:
BASH: Biomechanical Animated Skinned Human for Visualization of Kinematics and Muscle Activity. VISIGRAPP (1: GRAPP) 2021: 25-36 - 2020
- [j12]Martin Ullrich, Arne Küderle, Julius Hannink, Silvia Del Din, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Björn M. Eskofier, Felix Kluge:
Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies. IEEE J. Biomed. Health Informatics 24(7): 1869-1878 (2020) - [c18]Stefan Fischer, Martin Ullrich, Arne Küderle, Heiko Gaßner, Jochen Klucken, Björn M. Eskofier, Felix Kluge:
Automatic clinical gait test detection from inertial sensor data. EMBC 2020: 789-792
2010 – 2019
- 2019
- [j11]Nooshin Haji Ghassemi, Julius Hannink, Nils Roth, Heiko Gassner, Franz Marxreiter, Jochen Klucken, Björn M. Eskofier:
Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson's Disease. Sensors 19(14): 3103 (2019) - [j10]Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Juan Rafael Orozco-Arroyave, Björn M. Eskofier, Jochen Klucken, Elmar Nöth:
Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach. IEEE J. Biomed. Health Informatics 23(4): 1618-1630 (2019) - [c17]Martin Ullrich, Julius Hannink, Heiko Gaßner, Jochen Klucken, Björn M. Eskofier, Felix Kluge:
Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease. BHI 2019: 1-4 - [c16]Katharina Aholt, Christine F. Martindale, Arne Küderle, Heiko Gaßner, Till Gladow, Javier Rojo, Samanta Villanueva Mascato, Jochen Klucken, María Teresa Arredondo Waldmeyer, Björn M. Eskofier:
A Mobile Solution for Rhythmic Auditory Stimulation Gait Training. EMBC 2019: 309-312 - 2018
- [j9]Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, Heiko Gassner, Meinard Müller, Jochen Klucken, Björn M. Eskofier:
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease. Sensors 18(1): 145 (2018) - [j8]Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Björn M. Eskofier:
Mobile Stride Length Estimation With Deep Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 22(2): 354-362 (2018) - 2017
- [j7]Felix Kluge, Heiko Gassner, Julius Hannink, Cristian F. Pasluosta, Jochen Klucken, Björn M. Eskofier:
Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters. Sensors 17(7): 1522 (2017) - [j6]Julius Hannink, Malte Ollenschläger, Felix Kluge, Nils Roth, Jochen Klucken, Björn M. Eskofier:
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. Sensors 17(9): 1940 (2017) - [j5]Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Karl-Gunter Gasmann, Jochen Klucken, Björn M. Eskofier:
Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 21(1): 85-93 (2017) - [c15]Julius Hannink, Felix Kluge, Heiko Gassner, Jochen Klucken, Björn M. Eskofier:
Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests. BSN 2017: 129-132 - [c14]Harry J. Witchel, Robert Needham, Aoife Healy, Joseph H. Guppy, Jake Bush, Cäcilia Oberndorfer, Chantal Herberz, Carina E. I. Westling, Dawit Kim, Daniel Roggen, Jens Barth, Björn M. Eskofier, Waqar Rashid, Nachiappan Chockalingam, Jochen Klucken:
Using Wearable Inertial Sensors to Compare Different Versions of the Dual Task Paradigm during Walking. ECCE 2017: 150-157 - [c13]Christine F. Martindale, Martin Strauss, Heiko Gassner, Julia List, Meinard Müller, Jochen Klucken, Zacharias Kohl, Björn M. Eskofier:
Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia. EMBC 2017: 1266-1269 - 2016
- [c12]Robert Richer, Benjamin H. Groh, Peter Blank, Eva Dorschky, Christine Martindale, Jochen Klucken, Björn M. Eskofier:
Unobtrusive real-time heart rate variability analysis for the detection of orthostatic dysregulation. BSN 2016: 189-193 - [c11]Björn M. Eskofier, Sunghoon Ivan Lee, Jean-Francois Daneault, Fatemeh Noushin Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Jochen Klucken, Thomas Kautz, Paolo Bonato:
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment. EMBC 2016: 655-658 - [c10]Nooshin Haji Ghassemi, Franz Marxreiter, Cristian F. Pasluosta, Patrick Kugler, Johannes Schlachetzki, Axel Schramm, Björn M. Eskofier, Jochen Klucken:
Combined accelerometer and EMG analysis to differentiate essential tremor from Parkinson's disease. EMBC 2016: 672-675 - [c9]Christoph M. Kanzler, Jens Barth, Jochen Klucken, Björn M. Eskofier:
Inertial sensor based gait analysis discriminates subjects with and without visual impairment caused by simulated macular degeneration. EMBC 2016: 4979-4982 - [i2]Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Björn M. Eskofier:
Stride Length Estimation with Deep Learning. CoRR abs/1609.03321 (2016) - [i1]Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jochen Klucken, Björn M. Eskofier:
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks. CoRR abs/1609.03323 (2016) - 2015
- [j4]Jens Barth, Cäcilia Oberndorfer, Cristian F. Pasluosta, Samuel Schülein, Heiko Gassner, Samuel J. Reinfelder, Patrick Kugler, Dominik Schuldhaus, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier:
Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data. Sensors 15(3): 6419-6440 (2015) - [j3]Alexander Rampp, Jens Barth, Samuel Schülein, Karl-Gunter Gasmann, Jochen Klucken, Björn M. Eskofier:
Inertial Sensor-Based Stride Parameter Calculation From Gait Sequences in Geriatric Patients. IEEE Trans. Biomed. Eng. 62(4): 1089-1097 (2015) - [j2]Jochen Klucken, Karl E. Friedl, Björn M. Eskofier, Jeffrey M. Hausdorf:
Guest Editorial: Enabling Technologies for Parkinson's Disease Management. IEEE J. Biomed. Health Informatics 19(6): 1775-1776 (2015) - [j1]Cristian F. Pasluosta, Heiko Gassner, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier:
An Emerging Era in the Management of Parkinson's Disease: Wearable Technologies and the Internet of Things. IEEE J. Biomed. Health Informatics 19(6): 1873-1881 (2015) - [c8]Cristian F. Pasluosta, Jens Barth, Heiko Gassner, Jochen Klucken, Björn M. Eskofier:
Pull test estimation in Parkinson's disease patients using wearable sensor technology. EMBC 2015: 3109-3112 - [c7]Samuel J. Reinfelder, Roland Hauer, Jens Barth, Jochen Klucken, Björn M. Eskofier:
Timed Up-and-Go phase segmentation in Parkinson's disease patients using unobtrusive inertial sensors. EMBC 2015: 5171-5174 - [c6]Christoph M. Kanzler, Jens Barth, Alexander Rampp, Heiko Schlarb, Franz Rott, Jochen Klucken, Björn M. Eskofier:
Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation. EMBC 2015: 5424-5427 - 2014
- [c5]Samuel J. Reinfelder, Felix Durlak, Jens Barth, Jochen Klucken, Björn M. Eskofier:
Wearable static posturography solution using a novel pressure sensor sole. EMBC 2014: 2973-2976 - 2013
- [c4]Patrick Kugler, Christian Jaremenko, Johannes Schlachetzki, Jürgen Winkler, Jochen Klucken, Bjoern M. Eskofier:
Automatic recognition of Parkinson's disease using surface electromyography during standardized gait tests. EMBC 2013: 5781-5784 - [c3]Jens Barth, Cäcilia Oberndorfer, Patrick Kugler, Dominik Schuldhaus, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier:
Subsequence dynamic time warping as a method for robust step segmentation using gyroscope signals of daily life activities. EMBC 2013: 6744-6747 - 2012
- [c2]Jens Barth, Michael Sünkel, Katharina Bergner, Gerald Schickhuber, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier:
Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease. EMBC 2012: 5122-5125 - 2011
- [c1]Jens Barth, Jochen Klucken, Patrick Kugler, Thomas Kammerer, Ralph Steidl, Jürgen Winkler, Joachim Hornegger, Björn M. Eskofier:
Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson's disease. EMBC 2011: 868-871
Coauthor Index
aka: Bjoern M. Eskofier
aka: Heiko Gaßner
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