دورية أكاديمية

Detecting Effect of Levodopa in Parkinson's Disease Patients Using Sustained Phonemes.

التفاصيل البيبلوغرافية
العنوان: Detecting Effect of Levodopa in Parkinson's Disease Patients Using Sustained Phonemes.
المؤلفون: Pah ND; Electrical Engineering DepartmentUniversitas SurabayaSurabaya60293Indonesia.; School of EngineeringRMIT UniversityMelbourneVIC3000Australia., Motin MA; School of EngineeringRMIT UniversityMelbourneVIC3000Australia.; Department of Electrical and Electronic EngineeringRajshahi University of Engineering and TechnologyRajshahi6204Bangladesh., Kempster P; Monash HealthClaytonVIC3168Australia., Kumar DK; School of EngineeringRMIT UniversityMelbourneVIC3000Australia.
المصدر: IEEE journal of translational engineering in health and medicine [IEEE J Transl Eng Health Med] 2021 Mar 17; Vol. 9, pp. 4900409. Date of Electronic Publication: 2021 Mar 17 (Print Publication: 2021).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101623153 Publication Model: eCollection Cited Medium: Internet ISSN: 2168-2372 (Electronic) Linking ISSN: 21682372 NLM ISO Abbreviation: IEEE J Transl Eng Health Med Subsets: MEDLINE
أسماء مطبوعة: Original Publication: New York, NY : Institute of Electrical and Electronics Engineers, 2013-
مواضيع طبية MeSH: Neurodegenerative Diseases* , Parkinson Disease*/drug therapy , Voice*, Humans ; Levodopa/therapeutic use ; Speech
مستخلص: Background: Parkinson's disease (PD) is a multi-symptom neurodegenerative disease generally managed with medications, of which levodopa is the most effective. Determining the dosage of levodopa requires regular meetings where motor function can be observed. Speech impairment is an early symptom in PD and has been proposed for early detection and monitoring of the disease. However, findings from previous research on the effect of levodopa on speech have not shown a consistent picture.
Method: This study has investigated the effect of medication on PD patients for three sustained phonemes; /a/, /o/, and /m/, which were recorded from 24 PD patients during medication off and on stages, and from 22 healthy participants. The differences were statistically investigated, and the features were classified using Support Vector Machine (SVM).
Results: The results show that medication has a significant effect on the change of time and amplitude perturbation (jitter and shimmer) and harmonics of /m/, which was the most sensitive individual phoneme to the levodopa response. /m/ and /o/ performed at a comparable level in discriminating PD- off from control recordings. However, SVM classifications based on the combined use of the three phonemes /a/, /o/, and /m/ showed the best classifications, both for medication effect and for separating PD from control voice. The SVM classification for PD- off versus PD- on achieved an AUC of 0.81.
Conclusion: Studies of phonation by computerized voice analysis in PD should employ recordings of multiple phonemes. Our findings are potentially relevant in research to identify early parkinsonian dysarthria, and to tele-monitoring of the levodopa response in patients with established PD.
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فهرسة مساهمة: Keywords: Dysarthria; Parkinson’s disease; drug response; sustained phonemes; voice analysis
المشرفين على المادة: 46627O600J (Levodopa)
تواريخ الأحداث: Date Created: 20210402 Date Completed: 20211210 Latest Revision: 20240331
رمز التحديث: 20240331
مُعرف محوري في PubMed: PMC8007086
DOI: 10.1109/JTEHM.2021.3066800
PMID: 33796418
قاعدة البيانات: MEDLINE
الوصف
تدمد:2168-2372
DOI:10.1109/JTEHM.2021.3066800