Jeffrey M. Hausdorff
Orcid: 0000-0002-1608-0776
According to our database1,
Jeffrey M. Hausdorff
authored at least 24 papers
between 1995 and 2024.
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Bibliography
2024
Simplification of Mobility Tests and Data Processing to Increase Applicability of Wearable Sensors as Diagnostic Tools for Parkinson's Disease.
Sensors, August, 2024
A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders.
npj Digit. Medicine, 2024
2023
Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project.
Sensors, 2023
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.
Sensors, 2022
2020
Using Wearable Sensors and Machine Learning to Automatically Detect Freezing of Gait during a FOG-Provoking Test.
Sensors, 2020
Sensor-Based and Patient-Based Assessment of Daily-Living Physical Activity in People with Parkinson's Disease: Do Motor Subtypes Play a Role?
Sensors, 2020
2018
Do you see what I see? Mobile eye-tracker contextual analysis and inter-rater reliability.
Medical Biol. Eng. Comput., 2018
2017
Proceedings of the pHealth 2017, 2017
2016
The role of wrist-mounted inertial sensors in detecting gait freeze episodes in Parkinson's disease.
Pervasive Mob. Comput., 2016
2015
Prediction of Freezing of Gait in Parkinson's From Physiological Wearables: An Exploratory Study.
IEEE J. Biomed. Health Informatics, 2015
A Wearable Assistant for Gait Training for Parkinson's Disease with Freezing of Gait in Out-of-the-Lab Environments.
ACM Trans. Interact. Intell. Syst., 2015
2014
GaitAssist: A wearable assistant for gait training and rehabilitation in Parkinson's disease.
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014
Automatic Identification of Motor Patterns Leading to Freezing of Gait in Parkinson's Disease - An Exploratory Study.
Proceedings of the ICPRAM 2014, 2014
GaitAssist: a daily-life support and training system for parkinson's disease patients with freezing of gait.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014
2013
Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson's Disease.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013
Engineers meet clinicians: augmenting Parkinson's disease patients to gather information for gait rehabilitation.
Proceedings of the 4th Augmented Human International Conference, 2013
2012
Online detection of freezing of gait with smartphones and machine learning techniques.
Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare, 2012
2010
Wearable assistant for Parkinson's disease patients with the freezing of gait symptom.
IEEE Trans. Inf. Technol. Biomed., 2010
2009
Parkinsons disease patients perspective on context aware wearable technology for auditive assistance.
Proceedings of the 3rd International Conference on Pervasive Computing Technologies for Healthcare, 2009
Potentials of Enhanced Context Awareness in Wearable Assistants for Parkinson's Disease Patients with the Freezing of Gait Syndrome.
Proceedings of the 13th IEEE International Symposium on Wearable Computers (ISWC 2009), 2009
Online detection of freezing of gait in Parkinson's disease patients: a performance characterization.
Proceedings of the 4th International ICST Conference on Body Area Networks, 2009
1995
Application of linear and nonlinear time series modeling to heart rate dynamics analysis.
IEEE Trans. Biomed. Eng., 1995