Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
TL
TL;DR
Results show that the model is able to learn intrinsic characteristics from gait data and to generalize to unseen subjects, which could be helpful in a clinical diagnosis.
References26 items
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A hybrid spatio-temporal model for detection and severity rating of Parkinson's disease from gait data
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Self-Normalizing Neural Networks
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Gait and tremor assessment for patients with Parkinson's disease using wearable sensors
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