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Showing results 1 to 4 of 4

Issue Date	Title	Author(s)
2018	A machine learning approach to distinguish Parkinson's disease (PD) patient's with shuffling gait from older adults based on gait signals using 3D motion analysis	Aich S.; Pradhan, Pyari Mohan; Park J.; Kim H.-C.
2020	A supervised machine learning approach to detect the On/Off state in Parkinson's disease using wearable based gait signals	Aich S.; Youn J.; Chakraborty S.; Pradhan, Pyari Mohan; Park J.-H.; Park S.; Park J.
2018	A validation study of freezing of gait (FoG) detection and machine-learning-based FoG prediction using estimated gait characteristics with a wearable accelerometer	Aich S.; Pradhan, Pyari Mohan; Park J.; Sethi N.; Vathsa V.S.S.; Kim H.-C.
2020	Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson's Patients	Aich S.; Pradhan, Pyari Mohan; Chakraborty S.; Kim H.-C.; Kim H.-T.; Lee H.-G.; Kim I.H.; Joo M.-I.; Jong Seong S.; Park J.

Showing results 1 to 4 of 4