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Machine learning classification of early-stage Parkinson's disease using sit-to-walk biomechanical features

Minsoo Kim1, Changhong Youm2,3, Hwayoung Park4

  • 1Department of Health Sciences, The Graduate School of Dong-A University, 37 Nakdong-Daero 550 beon-gil, Saha-gu, Busan, 49315, Republic of Korea.

Scientific Reports
|March 30, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Early detectionGaitOlder individualsParkinson’s diseasePostural transitionSit-to-walk

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Parkinson Disease l: Introduction01:24

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Parkinson’s disease is a chronic, progressive neurodegenerative disorder that primarily affects movement. It is characterized by motor symptoms such as resting tremors, muscle rigidity, bradykinesia (slowness of movement), and postural instability. Patients may notice hand tremors at rest, stiffness during movement, or a shuffling gait. In addition to motor features, non-motor symptoms include sleep disturbances, mood and behavioral changes, constipation, and cognitive impairment, all of which...

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