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Characterizing vocal tremor in progressive neurological diseases via automated acoustic analyses
J. Hlavnička, T. Tykalová, O. Ulmanová, P. Dušek, D. Horáková, E. Růžička, J. Klempíř, J. Rusz
Jazyk angličtina Země Nizozemsko
Typ dokumentu časopisecké články, práce podpořená grantem
- MeSH
- akustika řeči * MeSH
- dospělí MeSH
- elektromyografie metody MeSH
- esenciální tremor diagnóza patofyziologie MeSH
- Fourierova analýza * MeSH
- kvalita hlasu fyziologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- nemoci nervového systému diagnóza patofyziologie MeSH
- poruchy hlasu diagnóza patofyziologie MeSH
- progrese nemoci * MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
OBJECTIVE: Voice tremor represents a common but frequently overlooked clinical feature of neurological disease. Therefore, we aimed to quantitatively and objectively assess the characteristics of voice tremor in a large sample of patients with various progressive neurological diseases. METHODS: Voice samples were acquired from 240 patients with neurological disease and 40 healthy controls. The robust automated method was designed, allowing precise tracking of multiple tremor frequencies and distinguish pathological from the physiological tremor. RESULTS: Abnormal tremor was revealed in Huntington's disease (65%), essential tremor (50%), multiple system atrophy (40%), cerebellar ataxia (40%), amyotrophic lateral sclerosis (40%), progressive supranuclear palsy (25%), Parkinson's disease (20%), cervical dystonia (10%), and multiple sclerosis (8%) but not in controls. Low-frequency voice tremor (<4 Hz) was common in all investigated diseases, whereas medium tremor frequencies (4-7 Hz) were specific for movement disorders of Parkinson's disease, multiple system atrophy, essential tremor, and cervical dystonia. CONCLUSIONS: Careful estimation of vocal tremor may help with accurate diagnosis and tailored treatment. SIGNIFICANCE: This study provides (i) more insights into the pathophysiology of vocal tremor in a wide range of neurological diseases and (ii) an accurate method for estimation of vocal tremor suitable for clinical practice.
Citace poskytuje Crossref.org
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- $a Hlavnička, Jan $u Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic; Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic; Department of Speech and Hearing Science, College of Health Solutions, Arizona State University, Tempe, AZ, USA
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- $a Characterizing vocal tremor in progressive neurological diseases via automated acoustic analyses / $c J. Hlavnička, T. Tykalová, O. Ulmanová, P. Dušek, D. Horáková, E. Růžička, J. Klempíř, J. Rusz
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- $a OBJECTIVE: Voice tremor represents a common but frequently overlooked clinical feature of neurological disease. Therefore, we aimed to quantitatively and objectively assess the characteristics of voice tremor in a large sample of patients with various progressive neurological diseases. METHODS: Voice samples were acquired from 240 patients with neurological disease and 40 healthy controls. The robust automated method was designed, allowing precise tracking of multiple tremor frequencies and distinguish pathological from the physiological tremor. RESULTS: Abnormal tremor was revealed in Huntington's disease (65%), essential tremor (50%), multiple system atrophy (40%), cerebellar ataxia (40%), amyotrophic lateral sclerosis (40%), progressive supranuclear palsy (25%), Parkinson's disease (20%), cervical dystonia (10%), and multiple sclerosis (8%) but not in controls. Low-frequency voice tremor (<4 Hz) was common in all investigated diseases, whereas medium tremor frequencies (4-7 Hz) were specific for movement disorders of Parkinson's disease, multiple system atrophy, essential tremor, and cervical dystonia. CONCLUSIONS: Careful estimation of vocal tremor may help with accurate diagnosis and tailored treatment. SIGNIFICANCE: This study provides (i) more insights into the pathophysiology of vocal tremor in a wide range of neurological diseases and (ii) an accurate method for estimation of vocal tremor suitable for clinical practice.
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- $a Tykalová, Tereza $u Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
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- $a Ulmanová, Olga $u Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic
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- $a Dušek, Petr $u Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic
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- $a Horáková, Dana $u Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic
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- $a Růžička, Evžen $u Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic
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- $a Klempíř, Jiří $u Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic; Institute of Anatomy, First Faculty of Medicine, Charles University, Prague, Czech Republic
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- $a Rusz, Jan $u Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic; Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic. Electronic address: rusz.mz@gmail.com
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