Abstract
Essential tremors (ET) are slow progressive neurological disorder that reduces muscular movements and involuntary muscular contractions. The further complications of ET may lead to Parkinson’s disease and therefore it is very crucial to identify at the early onset. This research study deals with the identification of the presence of ET from the EMG of the patient by using power spectral density (PSD) features. Several PSD estimation methods such as Welch, Yule Walker, covariance, modified covariance, Eigen Vector based on Eigen value and MUSIC, and Thompson Multitaper are employed and are then classified using a recurrent feedback Elman neural network (RFBEN). It is observed from the experimental results that the MUSIC method of estimating the PSD of the EMG along with RFBEN classifier yields a classification accuracy of 99.81%. It can be concluded that the proposed approach demonstrates the possibility of developing automated computer aided diagnostic tool for early detection of Essential tremors.
Highlights
Electromyography (EMG) is the quantification of the electrical activity of the muscles and this provides a measure of the muscular contraction
Several power spectral density (PSD) estimation methods such as Welch, Yule Walker, covariance, modified covariance, Eigen vector based on Eigen value and multiple signal classification (MUSIC), and Thompson multitaper are employed and are classified using a recurrent feedback Elman neural network (RFBEN)
Muscular conduction occurs at the frequency of 7-20Hz. Those of the essential tremors are less than 5Hz in frequency. In this proposed work, the power spectrum is estimated using various methodologies like Welch, Yule Walker, covariance (CV), modified covariance (MCV), Eigen vector based on Eigen value (EV) and MUSIC and Thompson Multitaper (TMT)
Summary
Electromyography (EMG) is the quantification of the electrical activity of the muscles and this provides a measure of the muscular contraction. After a series of works conducted to discern and distinctly analyze Essential Tremors (ET), Louis ED (2001a) concluded that these are transferred to successive generations through autosomal dominant transmissions and is mutagenic .These tremors originate from the central nervous system and are more observed by the involuntary contractions of muscles even during activity. Unlike resting tremors observed in Parkinson’s disease, Essential tremor has a unique frequency range of 4-12 Hz and is observed predominantly when the affected muscle is under work (Busenbark et al, 1999;Louis et al, 2000;Ctrichley 1949). ET and the resting tremors of Parkinson’s disease (PD) can be Interpreted based on the degenerated part of the brain.
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