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Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors.

, , , , , , , , , and . IEEE Trans. Instrum. Meas., (2021)

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Detection and Classification of Early Stages of Parkinson's Disease Through Wearable Sensors and Machine Learning., , and . IEEE Trans. Instrum. Meas., (2023)Synchrotron and Neutron Tomography of Paleontological Objects on the Facilities of the Kurchatov Institute., , , , , , and . J. Imaging, 4 (8): 103 (2018)Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors., , , , , , , , , and . IEEE Trans. Instrum. Meas., (2021)Neutron and Synchrotron Imaging Studies of Preservation State of Metal of Cultural Heritage Objects., , , , and . J. Imaging, 7 (11): 224 (2021)Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage., , , , , , , , , and . PervasiveHealth, page 419-422. ACM, (2020)Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease., , , , , , , , and . IEEE Trans. Instrum. Meas., (2022)Deep learning framework for neurological diseases diagnosis through near-infrared eye video and time series imaging algorithms., , , , and . Internet Things, (December 2023)Dominant Hand Invariant Parkinson's Disease Detection Using 1-D CNN Model and STFT-based IMU Data Fusion., , , , and . ISIE, page 1-6. IEEE, (2023)