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 (EMBC, 2011)

Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease. - Jens Barth; Michael Sünkel 002; Katharina Bergner; Gerald Schickhuber; Jürgen Winkler; Jochen Klucken; Björn M. Eskofier (EMBC, 2012)

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 (EMBC, 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 (EMBC, 2013)

Wearable static posturography solution using a novel pressure sensor sole. - Samuel J. Reinfelder; Felix Durlak; Jens Barth; Jochen Klucken; Björn M. Eskofier (EMBC, 2014)

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 (EMBC, 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 (EMBC, 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 (EMBC, 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)

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)

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)

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)

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 (BSN, 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 (EMBC, 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 (EMBC, 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 (EMBC, 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)

Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks. - Julius Hannink; Thomas Kautz; Cristian F. Pasluosta; Jochen Klucken; Björn M. Eskofier (CoRR, 2016)

Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests. - Julius Hannink; Felix Kluge 001; Heiko Gassner; Jochen Klucken; Björn M. Eskofier (BSN, 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; et al. (ECCE, 2017)

Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia. - Christine F. Martindale; Martin Strauss 003; Heiko Gassner; Julia List; Meinard Müller; Jochen Klucken; Zacharias Kohl; Björn M. Eskofier (EMBC, 2017)

Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. - Julius Hannink; Malte Ollenschläger; Felix Kluge 001; Nils Roth; Jochen Klucken; Björn M. Eskofier (Sensors, 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 001; Heiko Gassner; Julius Hannink; Cristian F. Pasluosta; Jochen Klucken; Björn M. Eskofier (Sensors, 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)

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)

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)

Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease. - Martin Ullrich; Julius Hannink; Heiko Gaßner; Jochen Klucken; Björn M. Eskofier; Felix Kluge 001 (BHI, 2019)

A Mobile Solution for Rhythmic Auditory Stimulation Gait Training. - Katharina Aholt; Christine F. Martindale; Arne Küderle; Heiko Gaßner; Till Gladow; Javier Rojo 002; Samanta Villanueva Mascato; Jochen Klucken; María Teresa Arredondo Waldmeyer; Björn M. Eskofier (EMBC, 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)

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)

Automatic clinical gait test detection from inertial sensor data. - Stefan Fischer; Martin Ullrich; Arne Küderle; Heiko Gaßner; Jochen Klucken; Björn M. Eskofier; Felix Kluge 001 (EMBC, 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 001 (IEEE J. Biomed. Health Informatics, 2020)

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 001 (EMBC, 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 001 (EMBC, 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 (VISIGRAPP (1: GRAPP), 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 001; Jochen Klucken; Bjoern M. Eskofier; Jürgen Winkler; Martin Winterholler; Heiko Gassner (Sensors, 2021)

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 001; Jochen Klucken; Bjoern M. Eskofier (IEEE J. Biomed. Health Informatics, 2022)

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 (EMBC, 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 001 (IEEE J. Biomed. Health Informatics, 2023)

uTUG: An unsupervised Timed Up and Go test for Parkinson's disease. - João Elison da Rosa Tavares; Martin Ullrich; Nils Roth; Felix Kluge 001; 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., 2023)

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; et al. (npj Digit. Medicine, 2024)

Classification grid and evidence matrix for evaluating digital medical devices under the European union landscape. - Magali Boers; Aude Rochereau; Louisa Stuwe; Lorena San Miguel; Jochen Klucken; Fruzsina Mezei; Jérôme Fabiano; Sandrine Boulet; Aymeric Perchant; Rosanna Tarricone; Francesco Petracca; Barbara Hoefgen; et al. (npj Digit. Medicine, 2025)

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's disease. - Rebecca Ting Jiin Loo; Lukas Pavelka; Graziella Mangone; Fouad Khoury; Marie Vidailhet; Jean-Christophe Corvol; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; et al. (npj Digit. Medicine, 2025)

Engagement and attrition in digital mental health: current challenges and potential solutions. - Katharine A. Smith; Thomas Ward; Sinéad Lambe; Edoardo G. Ostinelli; Charlotte Blease; Thomas Gant; Stefan M. Gold; Emily A. Holmes; Ivana Paccoud; Anastasia Vinnikova; Jochen Klucken; Peter J. Uhlhaas; et al. (npj Digit. Medicine, 2025)