Parkinson Disease diagnosis using Empirical Mode Decomposition
نویسنده
چکیده
Parkinson Disease is a neurological syndrome, characterized by resting tremor, reduced body movement and difficulty in maintaining proper posture. In this article I demonstrate a new method of parkinsonism diagnosis using Empirical Mode Decomposition (EMD) based on body movement synchronization analysis. EMD is a new method of signal decomposition into its monocomponents, so called Intrinsic Mode Functions (IMFs). Analysis of synchronization between signals‘ IMF components is named Empirical Mode Decomposition Phase Locking (EMDPL). I show that applying this method to psycho-motorical tests or posturographical data is a good tool for Parkinson disease diagnosis. Keywords— Parkinson, Empirical Mode Decomposition, EMD, Phase Locking, EMDPL.
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