Engineers meet clinicians: augmenting Parkinson's disease patients to gather information for gait rehabilitation. - Sinziana Mazilu; Ulf Blanke; Daniel Roggen; Gerhard Tröster; Eran Gazit; Jeffrey M. Hausdorff (AH, 2013)

Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson's Disease. - Sinziana Mazilu; Alberto Calatroni; Eran Gazit; Daniel Roggen; Jeffrey M. Hausdorff; Gerhard Tröster (MLDM, 2013)

GaitAssist: a daily-life support and training system for parkinson's disease patients with freezing of gait. - Sinziana Mazilu; Ulf Blanke; Michael Hardegger; Gerhard Tröster; Eran Gazit; Jeffrey M. Hausdorff (CHI, 2014)

GaitAssist: A wearable assistant for gait training and rehabilitation in Parkinson's disease. - Sinziana Mazilu; Ulf Blanke; Michael Hardegger; Gerhard Tröster; Eran Gazit; Moran Dorfman; Jeffrey M. Hausdorff (PerCom Workshops, 2014)

The RNA Polymerase Flow Model of Gene Transcription. - Shlomit Edri; Eran Gazit; Eyal Cohen; Tamir Tuller (IEEE Trans. Biomed. Circuits Syst., 2014)

A Wearable Assistant for Gait Training for Parkinson's Disease with Freezing of Gait in Out-of-the-Lab Environments. - Sinziana Mazilu; Ulf Blanke; Moran Dorfman; Eran Gazit; Anat Mirelman; Jeffrey M. Hausdorff; Gerhard Tröster (ACM Trans. Interact. Intell. Syst., 2015)

Prediction of Freezing of Gait in Parkinson's From Physiological Wearables: An Exploratory Study. - Sinziana Mazilu; Alberto Calatroni; Eran Gazit; Anat Mirelman; Jeffrey M. Hausdorff; Gerhard Tröster (IEEE J. Biomed. Health Informatics, 2015)

The role of wrist-mounted inertial sensors in detecting gait freeze episodes in Parkinson's disease. - Sinziana Mazilu; Ulf Blanke; Alberto Calatroni; Eran Gazit; Jeffrey M. Hausdorff; Gerhard Tröster (Pervasive Mob. Comput., 2016)

Using Wearable Sensors and Machine Learning to Automatically Detect Freezing of Gait during a FOG-Provoking Test. - Tal Reches; Moria Dagan; Talia Herman; Eran Gazit; Natalia A. Gouskova; Nir Giladi; Brad Manor; Jeffrey M. Hausdorff (Sensors, 2020)

A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems. - Kirsty Scott; Tecla Bonci; Lisa Alcock; Ellen E. Buckley; Clint Hansen; Eran Gazit; Lars Schwickert; Andrea Cereatti; Claudia Mazzà (Sensors, 2021)

Automated Mobility Context Detection with Inertial Signals. - Antonio Bevilacqua; Lisa Alcock; Brian Caulfield 001; Eran Gazit; Clint Hansen; Neil Ireson; Georgiana Ifrim (CoRR, 2022)

Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson's Disease. - Yonatan E. Brand; Dafna Schwartz; Eran Gazit; Aron S. Buchman; Ran Gilad-Bachrach; Jeffrey M. Hausdorff (Sensors, 2022)

A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings. - Gaëlle Prigent; Kamiar Aminian; Andrea Cereatti; Francesca Salis; Tecla Bonci; Kirsty Scott; Claudia Mazzà; Lisa Alcock; Silvia Del Din; Eran Gazit; Clint Hansen; Anisoara Paraschiv-Ionescu (Medical Biol. Eng. Comput., 2023)

A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders. - Assaf Zadka; Neta Rabin; Eran Gazit; Anat Mirelman; Alice Nieuwboer; Lynn Rochester; Silvia Del Din; Elisa Pelosin; Laura Avanzino; Bastiaan R. Bloem; Ugo Della Croce; Andrea Cereatti; et al. (npj Digit. Medicine, 2024)

Step Width Estimation in Individuals With and Without Neurodegenerative Disease via a Novel Data-Augmentation Deep Learning Model and Minimal Wearable Inertial Sensors. - Hong Wang 031; Zakir Ullah; Eran Gazit; Marina Brozgol; Tian Tan 008; Jeffrey M. Hausdorff; Peter B. Shull; Penina Ponger (IEEE J. Biomed. Health Informatics, 2025)