Nov 2, 2018 · We apply PTL to predict UPDRS of 42 PD patients using their AHTD vocal measurement. PTL achieves significantly better accuracy compared with ...
Abstract—Telemonitoring is the use of electronic devices to remotely monitor patients. Taking the Parkinson's Disease (PD) as an example, the use of At-Home ...
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Apr 2, 2020 · A novel positive transfer learning approach for telemonitoring of Parkinson's disease. IEEE Trans Autom. Sci. Eng. 16(1): 180-191 (2019)
A new machine-learning procedure to recognize Parkinson's disease with sEMG signals. We stacked the extracted features from three deep pre-trained ...
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Oct 22, 2024 · In this research, a method was developed to detect Parkinson's disease using machine learning, learning transfer techniques were relied upon to ...
Dec 24, 2021 · In this study, we propose a method to transform resting-state EEG data into a deep latent space to classify PD subjects from healthy cases.
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A novel model is proposed to predict the severity of Parkinson's disease. Subjects similar to target patients are selected by subject transfer mechanism.
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Jun 15, 2024 · Our novel strategy for diagnosing Parkinson's Disease (PD) represents a revolutionary change, employing cutting-edge machine learning and ...
Jul 2, 2024 · A novel model is proposed to predict the severity of Parkinson's disease. Subjects similar to target patients are selected by subject transfer mechanism.
Yoon and J. Li, “A novel positive transfer learning approach for telemonitoring of Parkinson's disease,” IEEE Trans. Autom. Sci. Eng., vol. 16, no. 1, pp ...