Novel sEMG parameters for early diagnostics of neurological diseases and aging
Journal of Biomedical Technologies 2014:1:2–9 – A. Meigal, S. Rissanen, M. Tarvainen, V. Ruonala, O. Airaksinen, M. Kankaanpää, G. Miroshnichenko, A. Kuzmina, P. Karjalainen
The early-stage diagnostics is critical for early treatment of neurodegenerative diseases. Although Parkinson’s disease (PD) as one of the most studied neurological diseases has been intensively studied, the pre-clinical markers of PD is yet to be established. Here we report on the non-linear characteristics of surface electromyogram (sEMG) and tremor acceleration as a possible diagnostic tool, and, in prospective, as a predictor for PD. We found that such nonlinear parameters as percent of determinism, sample entropy and correlation dimension allowed discriminating some 85% of healthy controls from PD patients. We intend to expand this approach to multiply sclerosis, schizophrenia and essential tremor.