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Deep Learning for hand tracking in Parkinson's Disease video-based assessment: Current and future perspectives.

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第一作者： Gianluca,Amprimo

第一单位： Politecnico di Torino - Control and Computer Engineering Department, Corso Duca degli Abruzzi, 24, Turin, 10129, Italy; National Research Council - Institute of Electronics, Information Engineering and Telecommunications, Corso Duca degli Abruzzi, 24, Turin, 10029, Italy. Electronic address: gianluca.amprimo@polito.it.

作者： Gianluca,Amprimo ^[1] ; Giulia,Masi ^[2] ; Gabriella,Olmo ^[3] ; Claudia,Ferraris ^[4]

作者单位： Politecnico di Torino - Control and Computer Engineering Department, Corso Duca degli Abruzzi, 24, Turin, 10129, Italy; National Research Council - Institute of Electronics, Information Engineering and Telecommunications, Corso Duca degli Abruzzi, 24, Turin, 10029, Italy. Electronic address: gianluca.amprimo@polito.it. ^[1] Politecnico di Torino - Control and Computer Engineering Department, Corso Duca degli Abruzzi, 24, Turin, 10129, Italy. Electronic address: https://www.researchgate.net/profile/Giulia-Masi-2. ^[2] Politecnico di Torino - Control and Computer Engineering Department, Corso Duca degli Abruzzi, 24, Turin, 10129, Italy. Electronic address: https://www.sysbio.polito.it/analytics-technologies-health/. ^[3] National Research Council - Institute of Electronics, Information Engineering and Telecommunications, Corso Duca degli Abruzzi, 24, Turin, 10029, Italy. Electronic address: https://www.ieiit.cnr.it/people/Ferraris-Claudia. ^[4]

关键词 Bradykinesia Computer vision Deep learning Hand tracking MDS-UPDRS Parkinson’s disease Tremor

医学主题词帕金森病(Parkinson Disease);人类(Humans);手(Hand);录像(Video Recording);运动(Movement)(Movement)

DOI 10.1016/j.artmed.2024.102914

PMID 38909431

发布时间 2024-10-04

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