scholarly journals Heterogeneity by global and textural feature analysis in F-18 FP-CIT brain PET images for diagnosis of Parkinson's disease

Medicine ◽  
2021 ◽  
Vol 100 (35) ◽  
pp. e26961
Author(s):  
Hyun Jin Yoon ◽  
Kook Cho ◽  
Woong Gon Kim ◽  
Young-Jin Jeong ◽  
Ji-Eun Jeong ◽  
...  
2021 ◽  
pp. 1-13
Author(s):  
Sen Liu ◽  
Han Yuan ◽  
Jiali Liu ◽  
Hai Lin ◽  
Cuiwei Yang ◽  
...  

BACKGROUND: Resting tremor is an essential characteristic in patients suffering from Parkinson’s disease (PD). OBJECTIVE: Quantification and monitoring of tremor severity is clinically important to help achieve medication or rehabilitation guidance in daily monitoring. METHODS: Wrist-worn tri-axial accelerometers were utilized to record the long-term acceleration signals of PD patients with different tremor severities rated by Unified Parkinson’s Disease Rating Scale (UPDRS). Based on the extracted features, three kinds of classifiers were used to identify different tremor severities. Statistical tests were further designed for the feature analysis. RESULTS: The support vector machine (SVM) achieved the best performance with an overall accuracy of 94.84%. Additional feature analysis indicated the validity of the proposed feature combination and revealed the importance of different features in differentiating tremor severities. CONCLUSION: The present work obtains a high-accuracy classification in tremor severity, which is expected to play a crucial role in PD treatment and symptom monitoring in real life.


2018 ◽  
Vol 39 (8) ◽  
pp. 3178-3186 ◽  
Author(s):  
Antoine Verger ◽  
Elsa Klesse ◽  
Mohammad B. Chawki ◽  
Tatiana Witjas ◽  
Jean-Philippe Azulay ◽  
...  

2017 ◽  
Vol 32 (6) ◽  
pp. 943-945 ◽  
Author(s):  
Michel Koole ◽  
Koen Van Laere ◽  
Rawaha Ahmad ◽  
Jenny Ceccarini ◽  
Guy Bormans ◽  
...  

1981 ◽  
Vol 46 (4) ◽  
pp. 348-352 ◽  
Author(s):  
Jeri A. Logemann ◽  
Hilda B. Fisher

Consonant articulation patterns of 200 Parkinson patients were defined by two expert listeners from high fidelity tape recordings of the sentence version of the Fisher-Logemann Test of Articulation Competence (1971). Phonetic transcription and phonetic feature analysis were the methodologies used. Of the 200 patients, 90 (45%) exhibited some misarticulations. Phonetic data on these 90 dysarthric Parkinson patients revealed articulatory errors highly consistent in detailed production characteristics. Manner changes predominated. Phoneme classes that were most affected were the stop-plosives, affricates, and fricatives. In terms of perception features (Chomsky & Halle, 1968), the stop-plosives and affricates, which are normally [– continuant] were produced as [ + continuant] fricatives; fricatives that are [+ strident] were produced as [– strident]. There is no implication, however, that Parkinsonism involves a perception deficit. Analysis of the articulatory deficit reveals inadequate tongue elevation to achieve complete closure on stop-plosives and affricates, which can be expressed in production features as a change from [+ stop] to [+ fricative]. There was also inadequate close construction of the airway in lingual fricatives, which in articulatory features can be expressed as a change from [+ fricative] to [– fricative]. Both the incomplete contact for stops and the partial constriction for fricatives represent and inadequate narrowing of the vocal tract at the point of articulation. These results are discussed in relation to recent EMG studies and other physiologic examinations of Parkinsonian dysarthria.


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