These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
567 related articles for article (PubMed ID: 32664354)
1. Evaluation of Vertical Ground Reaction Forces Pattern Visualization in Neurodegenerative Diseases Identification Using Deep Learning and Recurrence Plot Image Feature Extraction. Lin CW; Wen TC; Setiawan F Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32664354 [TBL] [Abstract][Full Text] [Related]
2. Combining features on vertical ground reaction force signal analysis for multiclass diagnosing neurodegenerative diseases. Ozeloglu IG; Akman Aydin E Int J Med Inform; 2024 Nov; 191():105542. PubMed ID: 39096593 [TBL] [Abstract][Full Text] [Related]
3. Implementation of a Deep Learning Algorithm Based on Vertical Ground Reaction Force Time-Frequency Features for the Detection and Severity Classification of Parkinson's Disease. Setiawan F; Lin CW Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372444 [TBL] [Abstract][Full Text] [Related]
4. Identification of Neurodegenerative Diseases Based on Vertical Ground Reaction Force Classification Using Time-Frequency Spectrogram and Deep Learning Neural Network Features. Setiawan F; Lin CW Brain Sci; 2021 Jul; 11(7):. PubMed ID: 34356136 [TBL] [Abstract][Full Text] [Related]
5. Data-Driven Based Approach to Aid Parkinson's Disease Diagnosis. Khoury N; Attal F; Amirat Y; Oukhellou L; Mohammed S Sensors (Basel); 2019 Jan; 19(2):. PubMed ID: 30634600 [TBL] [Abstract][Full Text] [Related]
6. Development of a Neurodegenerative Disease Gait Classification Algorithm Using Multiscale Sample Entropy and Machine Learning Classifiers. Nam Nguyen QD; Liu AB; Lin CW Entropy (Basel); 2020 Nov; 22(12):. PubMed ID: 33266524 [TBL] [Abstract][Full Text] [Related]
7. Simultaneous time-frequency analysis of gait signals of both legs in classifying neurodegenerative diseases. Torghabeh FA; Moghadam EA; Hosseini SA Gait Posture; 2024 Sep; 113():443-451. PubMed ID: 39111227 [TBL] [Abstract][Full Text] [Related]
8. Multimodal Gait Abnormality Recognition Using a Convolutional Neural Network-Bidirectional Long Short-Term Memory (CNN-BiLSTM) Network Based on Multi-Sensor Data Fusion. Li J; Liang W; Yin X; Li J; Guan W Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005489 [TBL] [Abstract][Full Text] [Related]
9. Identification of Neurodegenerative Diseases From Gait Rhythm Through Time Domain and Time-Dependent Spectral Descriptors. Mengarelli A; Tigrini A; Fioretti S; Verdini F IEEE J Biomed Health Inform; 2022 Dec; 26(12):5974-5982. PubMed ID: 36074873 [TBL] [Abstract][Full Text] [Related]
10. A novel method based on matching pursuit decomposition of gait signals for Parkinson's disease, Amyotrophic lateral sclerosis and Huntington's disease detection. Saljuqi M; Ghaderyan P Neurosci Lett; 2021 Sep; 761():136107. PubMed ID: 34256106 [TBL] [Abstract][Full Text] [Related]
11. An efficient Gait Dynamics classification method for Neurodegenerative Diseases using Brain signals. Mole SSS; Sujatha K J Med Syst; 2019 Jun; 43(8):245. PubMed ID: 31240410 [TBL] [Abstract][Full Text] [Related]
12. Classification of Parkinson's disease severity using gait stance signals in a spatiotemporal deep learning classifier. Muñoz-Mata BG; Dorantes-Méndez G; Piña-Ramírez O Med Biol Eng Comput; 2024 Nov; 62(11):3493-3506. PubMed ID: 38884852 [TBL] [Abstract][Full Text] [Related]
13. Classification of Gait Patterns in Patients with Neurodegenerative Disease Using Adaptive Neuro-Fuzzy Inference System. Ye Q; Xia Y; Yao Z Comput Math Methods Med; 2018; 2018():9831252. PubMed ID: 30363986 [TBL] [Abstract][Full Text] [Related]
14. String Grammar Unsupervised Possibilistic Fuzzy C-Medians for Gait Pattern Classification in Patients with Neurodegenerative Diseases. Klomsae A; Auephanwiriyakul S; Theera-Umpon N Comput Intell Neurosci; 2018; 2018():1869565. PubMed ID: 30008740 [TBL] [Abstract][Full Text] [Related]
15. Analysis of Gait Rhythm Fluctuations for Neurodegenerative Diseases by Phase Synchronization and Conditional Entropy. Ren P; Zhao W; Zhao Z; Bringas-Vega ML; Valdes-Sosa PA; Kendrick KM IEEE Trans Neural Syst Rehabil Eng; 2016 Feb; 24(2):291-9. PubMed ID: 26357401 [TBL] [Abstract][Full Text] [Related]
16. Neurodegenerative diseases detection using distance metrics and sparse coding: A new perspective on gait symmetric features. Ghaderyan P; Ghoreshi Beyrami SM Comput Biol Med; 2020 May; 120():103736. PubMed ID: 32250848 [TBL] [Abstract][Full Text] [Related]
17. Data-driven gait analysis for diagnosis and severity rating of Parkinson's disease. E B; D B; Elumalai VK; K U Med Eng Phys; 2021 May; 91():54-64. PubMed ID: 34074466 [TBL] [Abstract][Full Text] [Related]
18. A Dual-Modal Attention-Enhanced Deep Learning Network for Quantification of Parkinson's Disease Characteristics. Xia Y; Yao Z; Ye Q; Cheng N IEEE Trans Neural Syst Rehabil Eng; 2020 Jan; 28(1):42-51. PubMed ID: 31603824 [TBL] [Abstract][Full Text] [Related]
19. Computer-aided identification of degenerative neuromuscular diseases based on gait dynamics and ensemble decision tree classifiers. Fraiwan L; Hassanin O PLoS One; 2021; 16(6):e0252380. PubMed ID: 34086723 [TBL] [Abstract][Full Text] [Related]
20. Texture Classification and Visualization of Time Series of Gait Dynamics in Patients With Neuro-Degenerative Diseases. Pham TD IEEE Trans Neural Syst Rehabil Eng; 2018 Jan; 26(1):188-196. PubMed ID: 28767372 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]