Jochen Klucken

According to our database, Jochen Klucken authored at least 41 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease.

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

npj Digit. Medicine, 2024

2023

uTUG: An unsupervised Timed Up and Go test for Parkinson's disease.

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

Biomed. Signal Process. Control., March, 2023

Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data.

Martin Ullrich, Nils Roth, Arne Küderle, Robert Richer, Till Gladow, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge

IEEE J. Biomed. Health Informatics, 2023

Monitoring medication optimization in patients with Parkinson's disease.

Hamid Moradi, Julius Hannink, Sabine Stallforth, Till Gladow, Stefan Ringbauer, Martin Mayr, Jürgen Winkler, Jochen Klucken, Bjoern M. Eskofier

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson's Disease.

Nils Roth, Martin Ullrich, Arne Küderle, Till Gladow, Franz Marxreiter, Heiko Gassner, Felix Kluge, Jochen Klucken, Bjoern M. Eskofier

IEEE J. Biomed. Health Informatics, 2022

2021

Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson's Disease.

Verena Jakob, Arne Küderle, Felix Kluge, Jochen Klucken, Bjoern M. Eskofier, Jürgen Winkler, Martin Winterholler, Heiko Gassner

Sensors, 2021

BASH: Biomechanical Animated Skinned Human for Visualization of Kinematics and Muscle Activity.

Robert Schleicher, Marlies Nitschke, Jana Martschinke, Marc Stamminger, Björn M. Eskofier, Jochen Klucken, Anne D. Koelewijn

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Do We Walk Differently at Home? A Context-Aware Gait Analysis System in Continuous Real-World Environments.

Nils Roth, Georg P. Wieland, Arne Küderle, Martin Ullrich, Till Gladow, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Evaluation of Orthostatic Reactions in Real-World Environments Using Wearable Sensors.

Johanna Happold, Robert Richer, Arne Küderle, Heiko Gaßner, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies.

Martin Ullrich, Arne Küderle, Julius Hannink, Silvia Del Din, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Björn M. Eskofier, Felix Kluge

IEEE J. Biomed. Health Informatics, 2020

Automatic clinical gait test detection from inertial sensor data.

Stefan Fischer, Martin Ullrich, Arne Küderle, Heiko Gaßner, Jochen Klucken, Björn M. Eskofier, Felix Kluge

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach.

Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Juan Rafael Orozco-Arroyave, Björn M. Eskofier, Jochen Klucken, Elmar Nöth

IEEE J. Biomed. Health Informatics, 2019

Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson's Disease.

Nooshin Haji Ghassemi, Julius Hannink, Nils Roth, Heiko Gassner, Franz Marxreiter, Jochen Klucken, Björn M. Eskofier

Sensors, 2019

A Mobile Solution for Rhythmic Auditory Stimulation Gait Training.

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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease.

Martin Ullrich, Julius Hannink, Heiko Gaßner, Jochen Klucken, Björn M. Eskofier, Felix Kluge

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Mobile Stride Length Estimation With Deep Convolutional Neural Networks.

Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Björn M. Eskofier

IEEE J. Biomed. Health Informatics, 2018

Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease.

Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, Heiko Gassner, Meinard Müller, Jochen Klucken, Björn M. Eskofier

Sensors, 2018

2017

Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks.

Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Karl-Gunter Gasmann, Jochen Klucken, Björn M. Eskofier

IEEE J. Biomed. Health Informatics, 2017

Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters.

Felix Kluge, Heiko Gassner, Julius Hannink, Cristian F. Pasluosta, Jochen Klucken, Björn M. Eskofier

Sensors, 2017

Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.

Julius Hannink, Malte Ollenschläger, Felix Kluge, Nils Roth, Jochen Klucken, Björn M. Eskofier

Sensors, 2017

Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia.

Christine F. Martindale, Martin Strauss, Heiko Gassner, Julia List, Meinard Müller, Jochen Klucken, Zacharias Kohl, Björn M. Eskofier

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Using Wearable Inertial Sensors to Compare Different Versions of the Dual Task Paradigm during Walking.

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

Proceedings of the European Conference on Cognitive Ergonomics, 2017

Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests.

Julius Hannink, Felix Kluge, Heiko Gassner, Jochen Klucken, Björn M. Eskofier

Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017

2016

Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks.

Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jochen Klucken, Björn M. Eskofier

CoRR, 2016

Stride Length Estimation with Deep Learning.

Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Björn M. Eskofier

CoRR, 2016

Inertial sensor based gait analysis discriminates subjects with and without visual impairment caused by simulated macular degeneration.

Christoph M. Kanzler, Jens Barth, Jochen Klucken, Björn M. Eskofier

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Combined accelerometer and EMG analysis to differentiate essential tremor from Parkinson's disease.

Nooshin Haji Ghassemi, Franz Marxreiter, Cristian F. Pasluosta, Patrick Kugler, Johannes Schlachetzki, Axel Schramm, Björn M. Eskofier, Jochen Klucken

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment.

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

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Unobtrusive real-time heart rate variability analysis for the detection of orthostatic dysregulation.

Robert Richer, Benjamin H. Groh, Peter Blank, Eva Dorschky, Christine Martindale, Jochen Klucken, Björn M. Eskofier

Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016

2015

An Emerging Era in the Management of Parkinson's Disease: Wearable Technologies and the Internet of Things.

Cristian F. Pasluosta, Heiko Gassner, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier

IEEE J. Biomed. Health Informatics, 2015

Guest Editorial: Enabling Technologies for Parkinson's Disease Management.

Jochen Klucken, Karl E. Friedl, Björn M. Eskofier, Jeffrey M. Hausdorf

IEEE J. Biomed. Health Informatics, 2015

Inertial Sensor-Based Stride Parameter Calculation From Gait Sequences in Geriatric Patients.

Alexander Rampp, Jens Barth, Samuel Schülein, Karl-Gunter Gasmann, Jochen Klucken, Björn M. Eskofier

IEEE Trans. Biomed. Eng., 2015

Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data.

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

Sensors, 2015

Timed Up-and-Go phase segmentation in Parkinson's disease patients using unobtrusive inertial sensors.

Samuel J. Reinfelder, Roland Hauer, Jens Barth, Jochen Klucken, Björn M. Eskofier

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Pull test estimation in Parkinson's disease patients using wearable sensor technology.

Cristian F. Pasluosta, Jens Barth, Heiko Gassner, Jochen Klucken, Björn M. Eskofier

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation.

Christoph M. Kanzler, Jens Barth, Alexander Rampp, Heiko Schlarb, Franz Rott, Jochen Klucken, Björn M. Eskofier

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Wearable static posturography solution using a novel pressure sensor sole.

Samuel J. Reinfelder, Felix Durlak, Jens Barth, Jochen Klucken, Björn M. Eskofier

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Automatic recognition of Parkinson's disease using surface electromyography during standardized gait tests.

Patrick Kugler, Christian Jaremenko, Johannes Schlachetzki, Jürgen Winkler, Jochen Klucken, Bjoern M. Eskofier

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Subsequence dynamic time warping as a method for robust step segmentation using gyroscope signals of daily life activities.

Jens Barth, Cäcilia Oberndorfer, Patrick Kugler, Dominik Schuldhaus, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease.

Jens Barth, Michael Sünkel, Katharina Bergner, Gerald Schickhuber, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson's disease.

Jens Barth, Jochen Klucken, Patrick Kugler, Thomas Kammerer, Ralph Steidl, Jürgen Winkler, Joachim Hornegger, Björn M. Eskofier

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011