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

Julià Camps,Albert Samà,Mario Martín,Daniel Rodríguez Martín,Carlos Pérez-López, Juan-Manuel Moreno Aróstegui,Joan Cabestany,Andreu Català,Sheila Alcaine,Berta Mestre,Anna Prats, Maria C. Crespo-Maraver,Timothy J. Counihan,Patrick Browne,Leo R. Quinlan,Gearóid Ó Laighin,Dean Sweeney,Hadas Lewy,Gabriel Vainstein,Alberto Costa,Roberta Annicchiarico

Knowledge-Based Systems（2018）

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摘要

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 neurologists about the patient’s condition and the symptom’s characteristics, while it could enable non-pharmacologic support based on rhythmic cues.

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关键词

Deep learning,Signal processing,Freezing of gait,Parkinson’s disease,Wearable device

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