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On average the lack of biological markers causes a one year diagnostic delay to detect amyotrophic lateral sclerosis (ALS). To improve the diagnostic process an automatic voice assessment based on acoustic analysis can be used. The purpose of this work was to verify the sutability of the sustain vowel phonation test for automatic detection of patients with ALS. We proposed enhanced procedure for separation of voice signal into fundamental periods that requires for calculation of perturbation measurements (such as jitter and shimmer). Also we proposed method for quantitative assessment of pathological vibrato manifestations in sustain vowel phonation. The study's experiments show that using the proposed acoustic analysis methods, the classifier based on linear discriminant analysis attains 90.7% accuracy with 86.7% sensitivity and 92.2% specificity.Index Terms-voice pathology identification, amyotrophic lateral sclerosis, voice assessment.

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A lifting-based structure for quaternion multipliers with unit-magnitude constant coefficients is proposed, whose development was inspired by the well-known implementation of a plane rotation (complex multiplication with a unit-magnitude coefficient) using three shears each of which corresponds to one real multiplication and addition. Our solution is mainly aimed at implementing quaternion transforms as dedicated multiplierless digital circuits. Compared to alternative schemes obtained using the most known general-purpose lifting factorizations, it needs 1/3-1/5 less lifting steps. On general-purpose hardware, it allows for saving 14% operations at the price of representing the hypercomplex coefficient indirectly using six, instead of four, real numbers.

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