Dysprosody differentiate between Parkinson's disease, progressive supranuclear palsy, and multiple system atrophy

被引：4
|
作者：
Hlavnicka, Jan [1 ]
Tykalova, Tereza [1 ]
Cmejla, Roman [1 ]
Klempir, Jiri [2 ,3 ]
Ruzicka, Evzen [2 ,3 ]
Rusz, Jan [1 ,2 ,3 ]
机构：
[1] Czech Tech Univ, Fac Elect Engn, Dept Circuit Theory, Tech 2, Prague 16627 6, Czech Republic
[2] Charles Univ Prague, Fac Med 1, Dept Neurol, Katerinska 30, Prague 12000 2, Czech Republic
[3] Charles Univ Prague, Fac Med 1, Ctr Clin Neurosci, Katerinska 30, Prague 12000 2, Czech Republic
来源：
18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION | 2017年
关键词：
automated acoustic analysis; speech disorder; dysprosody; atypical parkinsonian syndromes; Parkinson's disease; progressive supranuclear palsy; multiple system atrophy; SPEECH CHARACTERISTICS; PERCEPTUAL ANALYSIS; LARGE-SAMPLE; DYSARTHRIA; DIAGNOSIS; ARTICULATION; IMPAIRMENT; DISORDERS; CRITERIA;
D O I：
10.21437/Interspeech.2017-762
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Parkinson's disease (PD), progressive supranuclear palsy (PSP), and multiple system atrophy (MSA) are distinctive neurodegenerative disorders, which manifest similar motor features. Their differentiation is crucial but difficult. Dysfunctional speech, especially dysprosody, is a common symptom accompanying PD, PSP, and MSA from early stages. We hypothesized that automated analysis of monologue could provide speech patterns distinguishing PD, PSP, and MSA. We analyzed speech recordings of 16 patients with PSP, 20 patients with MSA, and 23 patients with PD. Our findings revealed that deviant pause production differentiated between PSP, MSA, and PD. In addition, PSP showed greater deficits in speech respiration when compared to MSA and PD. Automated analysis of connected speech is easy to administer and could provide valuable information about underlying pathology for differentiation between PSP, MSA, and PD.
引用
收藏
页码：1844 / 1848
页数：5
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