A two-channel LSTM model is designed for severity rating of Parkinson's disease based on image data. can process the image data of two different hand movements at the same time, and analyze the performance of the two movements to obtain accurate severity score.
Apr 21, 2022
Sep 1, 2022 · Hand movement is one of the important bases for the severity rating of Parkinson's disease. While observing hand motion of patients, ...
Two-channel lstm for severity rating of parkinson's disease using 3d trajectory of hand motion. https://doi.org/10.1007/s11042-022-12659-9 ·.
+2 The structure of the two-layer LSTM. The input of the LSTM is. Two-channel lstm for severity rating of parkinson's disease using 3d trajectory of hand motion.
Dual channel LSTM based multi-feature extraction in gait ... Two-channel lstm for severity rating of parkinson's disease using 3d trajectory of hand motion.
LSTM for diagnosis of neurodegenerative diseases using gait data · Two-channel lstm for severity rating of parkinson's disease using 3d trajectory of hand motion.
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Aug 14, 2024 · This study systematically reviewed the latest advancements in automatic two-dimensional & three-dimensional video analysis using deep learning for movement ...
Feb 13, 2023 · Two-channel lstm for severity rating of parkinson's disease using 3d trajectory of hand motion. Multimed. Tools Appl. 2022, 81, 33851–33866 ...
Zhao, Two-channel lstm for severity rating of parkinson's disease using 3d trajectory of hand motion, Multimed. Tools Appl., № 81, с. 33851 https://doi.org ...