ISSN 2312-3672
Meigal A., Rissanen S., Tarvainen M., Ruonala V., Airaksinen O., Kankaanpää M., Miroshnichenko G., Kuzmina A., Karjalainen P. Novel sEMG parameters for early diagnostics of neurological diseases and aging // Journal of Biomedical Technologies. 2014. № 1. P. 2‒9. DOI: 10.15393/j6.art.2014.3041
Issue № 1 (2014)
Analytical review
Novel sEMG parameters for early diagnostics of neurological diseases and aging
| Meigal Alexander Yurievitch | Petrozavodsk State University, Institute of High-Tech Biomedicine, Lenin Str., 33, 185910 Petrozavodsk, meigal@petrsu.ru |
| Rissanen Saara Mirjami | University of Eastern Finland, Department of Applied Physics, P.O.Box 1627, 70211 Kuopio, Finland, meigal@petrsu.ru |
| Tarvainen Mika P | University of Eastern Finland, Department of Applied Physics, P.O.Box 1627, 70211 Kuopio, Finland, meigal@petrsu.ru |
| Ruonala Verneri | University of Eastern Finland, Department of Applied Physics, P.O.Box 1627, 70211 Kuopio, Finland, meigal@petrsu.ru |
| Airaksinen Olavi | Kuopio University Hospital, P.O. Box 100, 70029, Kuopio, Finland, meigal@petrsu.ru |
| Kankaanpää Markku | Tampere University Hospital, Department of Physical Medicine and Rehabilitation, P.O. Box 2000, 33521, Tampere, Finland, meigal@petrsu.ru |
| Miroshnichenko German G | Petrozavodsk State University; University of Eastern Finland, Institute of High-Tech Biomedicine; Department of Applied Physics, Lenin Str., 33, 185910, Petrozavodsk, Russia; P.O.Box 1627, 70211, Kuopio, Finland, meigal@petrsu.ru |
| Kuzmina Anna P | Petrozavodsk State University, Institute of High-Tech Biomedicine, Lenin Str., 33, 185910, Petrozavodsk, Russia, meigal@petrsu.ru |
| Karjalainen Pasi A | University of Eastern Finland, Department of Applied Physics, P.O.Box 1627, 70211, Kuopio, Finland, meigal@petrsu.ru |
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Parkinson’s disease electromyography nonlinear parameters early diagnostics ageing |
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. |
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