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Jochen Klucken
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2020 – today
- 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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