Deep learning for freezing of gait detection in Parkinson’s disease patients in their homes using a waist-worn inertial measurement unit

Autor: Alberto C.S. Costa, Carlos Prez-Lpez, Mario Martn, Albert Sam, Timothy J. Counihan, Daniel Rodrguez-Martn, Joan M. Moreno Arostegui, Dean Sweeney, Leo R. Quinlan, Maria C. Crespo-Maraver, Gearid Laighin, Patrick Browne, Anna Prats, Gabriel Vainstein, Hadas Lewy, Berta Mestre, Sheila Alcaine, Joan Cabestany, ngels Bays, Juli Camps, Andreu Catal, Roberta Annicchiarico, Alejandro Rodrguez-Molinero

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Among Parkinson’s disease (PD) motor symptoms, freezing of gait (FOG) may be the most incapacitating. FOG episodes may result in falls and reduce patients’ quality of life. Accurate assessment of FOG would provide objective information to neurolo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec3e4e39aaec9dd19d1257b7825d3f94
https://hdl.handle.net/2117/110570