Matches in SemOpenAlex for { <https://semopenalex.org/work/W3170804538> ?p ?o ?g. }
- W3170804538 endingPage "115283" @default.
- W3170804538 startingPage "115283" @default.
- W3170804538 abstract "Parkinson’s Disease (PD) is a progressive neurological disorder that affects the functioning of the brain. As PD progresses, there arises a problem of maintaining coordination between brain and different parts of the body. Subjects have the problem of performing daily activities. Its early diagnosis is important to improve the quality of life of Parkinson’s patients. Most of Parkinson’s patients are likely to have voice disorders in the early stages. Therefore, the analysis of voice recordings with machine learning-based models can improve the diagnosis process. Voice signals are non-linear, non-stationary signals which exhibit oscillatory behavior. In this paper, a hybrid approach is proposed to extract features from resonance-based and time-frequency based information. A combination of Resonance based Sparse Signal Decomposition (RSSD) + Time-Frequency (T-F) algorithm is proposed. Two datasets are collected for the study. The first dataset D1 is a public dataset consisting of 16 PD + 21 Healthy Controls (HC) and the second dataset D2 is collected from 20 HC to explore the effect of diversity in the diagnosis process. To explore the potential of deep learning techniques in diagnosing speech impairments in PD patients, the potential of Convolution Neural Network (CNN) is also explored. To evaluate the method, we conducted several experiments with state-of-the-art feature extraction and classification techniques. The proposed hybrid approach distinguished PD and HC with a validation accuracy of 99.37%. We have also explored the effect of diversity in the data collection process and it is observed that diversity in the socio-cultural group plays very important role to put the system in the clinical practice." @default.
- W3170804538 created "2021-06-22" @default.
- W3170804538 creator A5018146397 @default.
- W3170804538 creator A5059826212 @default.
- W3170804538 creator A5077659302 @default.
- W3170804538 date "2021-11-01" @default.
- W3170804538 modified "2023-10-16" @default.
- W3170804538 title "A Hybrid Approach for Parkinson’s Disease diagnosis with Resonance and Time-Frequency based features from Speech signals" @default.
- W3170804538 cites W1992137233 @default.
- W3170804538 cites W2100705753 @default.
- W3170804538 cites W2112797878 @default.
- W3170804538 cites W2119662931 @default.
- W3170804538 cites W2140978740 @default.
- W3170804538 cites W2145954079 @default.
- W3170804538 cites W2345403704 @default.
- W3170804538 cites W2559749850 @default.
- W3170804538 cites W2582636227 @default.
- W3170804538 cites W2590966124 @default.
- W3170804538 cites W2621237632 @default.
- W3170804538 cites W2657631929 @default.
- W3170804538 cites W2754732699 @default.
- W3170804538 cites W2755642732 @default.
- W3170804538 cites W2761197040 @default.
- W3170804538 cites W2769607762 @default.
- W3170804538 cites W2780134754 @default.
- W3170804538 cites W2806647989 @default.
- W3170804538 cites W2808797111 @default.
- W3170804538 cites W2811161392 @default.
- W3170804538 cites W2896691302 @default.
- W3170804538 cites W2898866157 @default.
- W3170804538 cites W2899145547 @default.
- W3170804538 cites W2899542986 @default.
- W3170804538 cites W2904992679 @default.
- W3170804538 cites W2906853770 @default.
- W3170804538 cites W2907286854 @default.
- W3170804538 cites W2922842086 @default.
- W3170804538 cites W2939302023 @default.
- W3170804538 cites W2946315310 @default.
- W3170804538 cites W2947796043 @default.
- W3170804538 cites W3005709509 @default.
- W3170804538 cites W3013437435 @default.
- W3170804538 cites W3027101363 @default.
- W3170804538 cites W3087291280 @default.
- W3170804538 doi "https://doi.org/10.1016/j.eswa.2021.115283" @default.
- W3170804538 hasPublicationYear "2021" @default.
- W3170804538 type Work @default.
- W3170804538 sameAs 3170804538 @default.
- W3170804538 citedByCount "22" @default.
- W3170804538 countsByYear W31708045382021 @default.
- W3170804538 countsByYear W31708045382022 @default.
- W3170804538 countsByYear W31708045382023 @default.
- W3170804538 crossrefType "journal-article" @default.
- W3170804538 hasAuthorship W3170804538A5018146397 @default.
- W3170804538 hasAuthorship W3170804538A5059826212 @default.
- W3170804538 hasAuthorship W3170804538A5077659302 @default.
- W3170804538 hasConcept C119857082 @default.
- W3170804538 hasConcept C138885662 @default.
- W3170804538 hasConcept C142724271 @default.
- W3170804538 hasConcept C153180895 @default.
- W3170804538 hasConcept C154945302 @default.
- W3170804538 hasConcept C199360897 @default.
- W3170804538 hasConcept C2776401178 @default.
- W3170804538 hasConcept C2779134260 @default.
- W3170804538 hasConcept C2779734285 @default.
- W3170804538 hasConcept C2779843651 @default.
- W3170804538 hasConcept C28490314 @default.
- W3170804538 hasConcept C41008148 @default.
- W3170804538 hasConcept C41895202 @default.
- W3170804538 hasConcept C45347329 @default.
- W3170804538 hasConcept C50644808 @default.
- W3170804538 hasConcept C52622490 @default.
- W3170804538 hasConcept C71924100 @default.
- W3170804538 hasConcept C81363708 @default.
- W3170804538 hasConceptScore W3170804538C119857082 @default.
- W3170804538 hasConceptScore W3170804538C138885662 @default.
- W3170804538 hasConceptScore W3170804538C142724271 @default.
- W3170804538 hasConceptScore W3170804538C153180895 @default.
- W3170804538 hasConceptScore W3170804538C154945302 @default.
- W3170804538 hasConceptScore W3170804538C199360897 @default.
- W3170804538 hasConceptScore W3170804538C2776401178 @default.
- W3170804538 hasConceptScore W3170804538C2779134260 @default.
- W3170804538 hasConceptScore W3170804538C2779734285 @default.
- W3170804538 hasConceptScore W3170804538C2779843651 @default.
- W3170804538 hasConceptScore W3170804538C28490314 @default.
- W3170804538 hasConceptScore W3170804538C41008148 @default.
- W3170804538 hasConceptScore W3170804538C41895202 @default.
- W3170804538 hasConceptScore W3170804538C45347329 @default.
- W3170804538 hasConceptScore W3170804538C50644808 @default.
- W3170804538 hasConceptScore W3170804538C52622490 @default.
- W3170804538 hasConceptScore W3170804538C71924100 @default.
- W3170804538 hasConceptScore W3170804538C81363708 @default.
- W3170804538 hasLocation W31708045381 @default.
- W3170804538 hasOpenAccess W3170804538 @default.
- W3170804538 hasPrimaryLocation W31708045381 @default.
- W3170804538 hasRelatedWork W2229271988 @default.
- W3170804538 hasRelatedWork W2811106690 @default.
- W3170804538 hasRelatedWork W2964954556 @default.
- W3170804538 hasRelatedWork W3019910406 @default.