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 Mo...

Empirical mode decomposition is a method to decompose signals proposed by N.E.Huang et. al in 1998. It can extract adaptively the oscillatory modes at each time from a complex signal, namely it can decompose the signal into a finite (often less) number of intrinsic mode functions (IMFs). With Hilbert transform, the IMFs yield instantaneous frequencies as functions of time, that give sharp ident...

Structural health monitoring field is growing in the use of more modern techniques and tools order to identify damages civil structures. The improvements signal processing data mining have, recently, been employed due their powerful computational ability detect damage bridges. Despite majority researchers have studying laboratory-scale implementations theoretical developments, limited structura...