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Deep learning for detecting freezing of gait episodes in Parkinson’s disease based on accelerometers

Author
Camps, J.; Sama, A.; Martin, M.; Rodriguez-Martin, D.; Perez, C.; Alcaine, S.; Mestre, B.; Prats, A.; Crespo, M. Cruz; Cabestany, J.; Bayés, À.; Catala, A.
Type of activity
Presentation of work at congresses
Name of edition
14th International Work-Conference on Artificial Neural Networks
Date of publication
2017
Presentation's date
2017-06-16
Book of congress proceedings
Advances in Computational Intelligence : 14th International Work-Conference on Artificial Neural Networks, IWANN 2017
First page
344
Last page
355
DOI
https://doi.org/https://doi.org/10.1007/978-3-319-59147-6_30 Open in new window
Project funding
Bloqueig en la malaltia de parkinson:millora de la qualitat de vida amb un sistema de control automàtic
Repository
http://hdl.handle.net/2117/113689 Open in new window
https://www.researchgate.net/publication/317589275_Deep_Learning_for_Detecting_Freezing_of_Gait_Episodes_in_Parkinson's_Disease_Based_on_Accelerometers Open in new window
URL
https://link.springer.com/chapter/10.1007/978-3-319-59147-6_30 Open in new window
Abstract
Freezing of gait (FOG) is one of the most incapacitating symptoms among the motor alterations of Parkinson’s disease (PD). Manifesting FOG episodes reduce patients’ quality of life and their autonomy to perform daily living activities, while it may provoke falls. Accurate ambulatory FOG assessment would enable non-pharmacologic support based on cues and would provide relevant information to neurologists on the disease evolution. This paper presents a method for FOG detection based on deep l...
Citation
Camps, J., Sama, A., Martin, M., Rodriguez-Martin, D., Perez, C., Alcaine, S., Mestre, B., Prats, A., Crespo, M. Cruz, Cabestany, J., Bayés, À., Catala, A. Deep learning for detecting freezing of gait episodes in Parkinson’s disease based on accelerometers. A: International Workshop on Artificial Neural Networks. "Advances in Computational Intelligence : 14th International Work-Conference on Artificial Neural Networks, IWANN 2017". Cadiz: 2017, p. 344-355.
Keywords
Deep learning, Freezing of gait, Inertial measurement unit, Parkinson’s disease, Signal processing
Group of research
CETpD - Technical Research Centre for Dependency Care and Autonomous Living
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
ISSET - Integrated Smart Sensors and Health Technologies
KEMLG - Knowledge Engineering and Machine Learning Group

Participants