17 research outputs found
Walking Bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower Back
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Predicting the Progression of Parkinson’s Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning.
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Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach
No full textTurning detection during gait: Algorithm validation and influence of sensor location and turning characteristics in the classification of Parkinson’s disease
No full textInvestigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning
No full textValidation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults
No full textComparison of walking protocols and gait assessment systems for machine learning based classification of Parkinson’s disease
No full textClassification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device.
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