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Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT).

, , , , , , , , , , , , , and . Sensors, 23 (13): 6217 (July 2023)

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Character identification by maximizing the difference between target and non-target responses in EEG without sophisticated classifiers., , and . EMBC, page 2243-2246. IEEE, (2013)Classification of Patients with Alzheimer's Disease and Healthy Subjects from MRI Brain Images Using the Existence Probability of Tissue Types., , , and . SCIS&ISIS, page 1035-1038. IEEE, (2018)Detection of Alzheimer's Disease with Shape Analysis of MRI Images., , , and . SCIS&ISIS, page 1031-1034. IEEE, (2018)Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT)., , , , , , , , , and 4 other author(s). Sensors, 23 (13): 6217 (July 2023)Fast spike detection in EEG using eigenvalue analysis and clustering of spatial amplitude distribution., , and . EMBC, page 467-470. IEEE, (2017)The Relationship between Aging and Photic Driving EEG Response., , , , and . IEICE Trans. Inf. Syst., 94-D (9): 1839-1842 (2011)Fluctuations in Upper and Lower Body Movement during Walking in Normal Pressure Hydrocephalus and Parkinson's Disease Assessed by Motion Capture with a Smartphone Application, TDPT-GT., , , , , , , , , and 4 other author(s). Sensors, 23 (22): 9263 (November 2023)EEG character identification using stimulus sequences designed to maximize mimimal hamming distance., , , and . EMBC, page 1782-1785. IEEE, (2012)Classification of finger movement based on EEG phase using deep learning., , , and . SCIS/ISIS, page 1-4. IEEE, (2022)Adaptation to a brain-computer interface of transfer learning using event-related potentials obtained under different measurement conditions., , , and . SCIS/ISIS, page 1-4. IEEE, (2022)