Energy and fractal characteristics of physiological and pathological tremors of the human hand

Fractal measures of video-recorded trajectories can classify motor subtypes in Parkinson’s Disease

“…Furthermore, the proposed measurement protocol39 is simple and can be readily applied in clinical practice with inexpensive equipment. The use of nonlinear quantities to40 characterize the movement of patients, together with usual time-frequency measurements, is also recommended, as both 41 tools can provide complementary information for the study of human motor behavior and its changes in disease.Supplementary material related to this article can be found online at http://dx.doi.org/10.1016/j.physa.2016.05.050.…”

“…The results imply that 12 this difference can be adequately measured by the fractal dimension. Previous studies evaluated gait and balance [39] and physiological hand tremor [40] in Parkinson's Disease, both using 1 fractal dimension of time-series as the characterization parameter. The authors uses time-series of finger tremor (with 2 piezoelectric sensors) [40] and accelerometer raw data [39].…”

“…Previous studies evaluated gait and balance [39] and physiological hand tremor [40] in Parkinson's Disease, both using 1 fractal dimension of time-series as the characterization parameter. The authors uses time-series of finger tremor (with 2 piezoelectric sensors) [40] and accelerometer raw data [39]. One way to compare these previous studies with our results is distance between the PIGD and the control clusters is smaller and this distinction is harder to perceive.…”