Frequency-Amplitude Enhanced Dynamic Time Warping for Parkinson’s Disease Gait Analysis

Parkinson’s disease is a relatively common neurodegenerative disorder that causes motor impairments, with gait disturbances being a prominent symptom. Gait analysis helps physicians accurately assess the condition and optimize treatment options. Specifically, video-based gait analysis provides more accurate, comprehensive, and accessible gait analysis and captures the details of movement throughout the body. To improve patient diagnosis and treatment, this paper proposes a Frequency-Amplitude Enhanced Dynamic Time Warping (FAE-DTW) method to quantitatively analyze gait motion before and after medication. By designing a frequency-sensitive distance metric that incorporates the frequency and amplitude characteristics, we can evaluate the efficacy of medication by measuring the improvement or worsening of gait abnormalities. We have validated the effectiveness of this approach with real-world data.