200 related articles for article (PubMed ID: 36366153)
1. A Novel Application of Deep Learning (Convolutional Neural Network) for Traumatic Spinal Cord Injury Classification Using Automatically Learned Features of EMG Signal.
Masood F; Sharma M; Mand D; Nesathurai S; Simmons HA; Brunner K; Schalk DR; Sledge JB; Abdullah HA
Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366153
[TBL] [Abstract][Full Text] [Related]
2. Neurophysiological Characterization of a Non-Human Primate Model of Traumatic Spinal Cord Injury Utilizing Fine-Wire EMG Electrodes.
Masood F; Abdullah HA; Seth N; Simmons H; Brunner K; Sejdic E; Schalk DR; Graham WA; Hoggatt AF; Rosene DL; Sledge JB; Nesathurai S
Sensors (Basel); 2019 Jul; 19(15):. PubMed ID: 31357572
[TBL] [Abstract][Full Text] [Related]
3. Comparison study of classification methods of intramuscular electromyography data for non-human primate model of traumatic spinal cord injury.
Masood F; Farzana M; Nesathurai S; Abdullah HA
Proc Inst Mech Eng H; 2020 Sep; 234(9):955-965. PubMed ID: 32605433
[TBL] [Abstract][Full Text] [Related]
4. Electromyography Signal Analysis and Classification using Time-Frequency Representations and Deep Learning.
Elbeshbeshy AM; Rushdi MA; El-Metwally SM
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():661-664. PubMed ID: 34891379
[TBL] [Abstract][Full Text] [Related]
5. An Improved Performance of Deep Learning Based on Convolution Neural Network to Classify the Hand Motion by Evaluating Hyper Parameter.
Triwiyanto T; Pawana IPA; Purnomo MH
IEEE Trans Neural Syst Rehabil Eng; 2020 Jul; 28(7):1678-1688. PubMed ID: 32634104
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of Three Machine Learning Algorithms for the Automatic Classification of EMG Patterns in Gait Disorders.
Fricke C; Alizadeh J; Zakhary N; Woost TB; Bogdan M; Classen J
Front Neurol; 2021; 12():666458. PubMed ID: 34093413
[TBL] [Abstract][Full Text] [Related]
7. Classification of EMG signals with CNN features and voting ensemble classifier.
Emimal M; Hans WJ; Inbamalar TM; Lindsay NM
Comput Methods Biomech Biomed Engin; 2024 Feb; ():1-15. PubMed ID: 38317414
[TBL] [Abstract][Full Text] [Related]
8. Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques.
Zia Ur Rehman M; Waris A; Gilani SO; Jochumsen M; Niazi IK; Jamil M; Farina D; Kamavuako EN
Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30071617
[TBL] [Abstract][Full Text] [Related]
9. EMG feature assessment for myoelectric pattern recognition and channel selection: a study with incomplete spinal cord injury.
Liu J; Li X; Li G; Zhou P
Med Eng Phys; 2014 Jul; 36(7):975-80. PubMed ID: 24844608
[TBL] [Abstract][Full Text] [Related]
10. Regression convolutional neural network for improved simultaneous EMG control.
Ameri A; Akhaee MA; Scheme E; Englehart K
J Neural Eng; 2019 Jun; 16(3):036015. PubMed ID: 30849774
[TBL] [Abstract][Full Text] [Related]
11. Bathroom activities monitoring for older adults by a wrist-mounted accelerometer using a hybrid deep learning model.
Shang M; Zhang Y; Ali Amer AY; D'Haeseleer I; Vanrumste B
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():7112-7115. PubMed ID: 34892740
[TBL] [Abstract][Full Text] [Related]
12. Toward a generalizable deep CNN for neural drive estimation across muscles and participants.
Wen Y; Kim SJ; Avrillon S; Levine JT; Hug F; Pons JL
J Neural Eng; 2023 Jan; 20(1):. PubMed ID: 36548991
[No Abstract] [Full Text] [Related]
13. Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait.
Haque F; Reaz MBI; Chowdhury MEH; Ezeddin M; Kiranyaz S; Alhatou M; Ali SHM; Bakar AAA; Srivastava G
Sensors (Basel); 2022 May; 22(9):. PubMed ID: 35591196
[TBL] [Abstract][Full Text] [Related]
14. A Deep CNN Framework for Neural Drive Estimation From HD-EMG Across Contraction Intensities and Joint Angles.
Wen Y; Kim SJ; Avrillon S; Levine JT; Hug F; Pons JL
IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2950-2959. PubMed ID: 36251912
[TBL] [Abstract][Full Text] [Related]
15. Automated classification of nasal polyps in endoscopy video-frames using handcrafted and CNN features.
Ay B; Turker C; Emre E; Ay K; Aydin G
Comput Biol Med; 2022 Aug; 147():105725. PubMed ID: 35716434
[TBL] [Abstract][Full Text] [Related]
16. Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG.
Asif AR; Waris A; Gilani SO; Jamil M; Ashraf H; Shafique M; Niazi IK
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32183473
[TBL] [Abstract][Full Text] [Related]
17. Sensor Fusion for Myoelectric Control Based on Deep Learning With Recurrent Convolutional Neural Networks.
Wang W; Chen B; Xia P; Hu J; Peng Y
Artif Organs; 2018 Sep; 42(9):E272-E282. PubMed ID: 30003559
[TBL] [Abstract][Full Text] [Related]
18. Evaluating Convolutional Neural Networks as a Method of EEG-EMG Fusion.
Tryon J; Trejos AL
Front Neurorobot; 2021; 15():692183. PubMed ID: 34887739
[TBL] [Abstract][Full Text] [Related]
19. Deep learning approach to improve the recognition of hand gesture with multi force variation using electromyography signal from amputees.
Triwiyanto T; Pawana IPA; Caesarendra W
Med Eng Phys; 2024 Mar; 125():104131. PubMed ID: 38508805
[TBL] [Abstract][Full Text] [Related]
20. A convolutional neural network to identify motor units from high-density surface electromyography signals in real time.
Wen Y; Avrillon S; Hernandez-Pavon JC; Kim SJ; Hug F; Pons JL
J Neural Eng; 2021 Apr; 18(5):. PubMed ID: 33721852
[No Abstract] [Full Text] [Related]
[Next] [New Search]