Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors

Freezing of gait (FOG) is one of the most incapacitating motor symptoms in Parkinson’s disease (PD). The occurrence of FOG reduces the patients’ quality of live and leads to falls. FOG assessment has usually been made through questionnaires, however, this method can be subjective and could not provi...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 20; H. 7; S. 1895
Hauptverfasser:	Sigcha, Luis, Costa, Nélson, Pavón, Ignacio, Costa, Susana, Arezes, Pedro, López, Juan Manuel, De Arcas, Guillermo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 29.03.2020 MDPI
Schlagworte:	accelerometer Accelerometry - methods Activities of daily living Aged Aged, 80 and over Algorithms Artificial intelligence Biosensing Techniques Cognition & reasoning consecutive windows convolutional neural networks Deep Learning denoising autoencoder Female Fog Gait Gait - physiology Humans IMU LSTM Male Monitoring, Physiologic Natural language processing Neural networks Parkinson Disease - diagnosis Parkinson Disease - physiopathology Parkinson's disease Patients Performance evaluation Quality of life Sensors Signal Processing, Computer-Assisted Support vector machines Wearable Electronic Devices IMU consecutive windows LSTM time distributed accelerometer denoising autoencoder convolutional neural networks spectral representation
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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