126 related articles for article (PubMed ID: 31689209)
1. Selection of Features and Classifiers for EMG-EEG-Based Upper Limb Assistive Devices-A Review.
Khan SM; Khan AA; Farooq O
IEEE Rev Biomed Eng; 2020; 13():248-260. PubMed ID: 31689209
[TBL] [Abstract][Full Text] [Related]
2. Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines.
Cene VH; Tosin M; Machado J; Balbinot A
Sensors (Basel); 2019 Apr; 19(8):. PubMed ID: 31003524
[TBL] [Abstract][Full Text] [Related]
3. Role of Muscle Synergies in Real-Time Classification of Upper Limb Motions using Extreme Learning Machines.
Antuvan CW; Bisio F; Marini F; Yen SC; Cambria E; Masia L
J Neuroeng Rehabil; 2016 Aug; 13(1):76. PubMed ID: 27527511
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of feature extraction techniques and classifiers for finger movement recognition using surface electromyography signal.
Phukpattaranont P; Thongpanja S; Anam K; Al-Jumaily A; Limsakul C
Med Biol Eng Comput; 2018 Dec; 56(12):2259-2271. PubMed ID: 29911250
[TBL] [Abstract][Full Text] [Related]
5. Classification complexity in myoelectric pattern recognition.
Nilsson N; Håkansson B; Ortiz-Catalan M
J Neuroeng Rehabil; 2017 Jul; 14(1):68. PubMed ID: 28693533
[TBL] [Abstract][Full Text] [Related]
6. Review on electromyography based intention for upper limb control using pattern recognition for human-machine interaction.
Asghar A; Jawaid Khan S; Azim F; Shakeel CS; Hussain A; Niazi IK
Proc Inst Mech Eng H; 2022 May; 236(5):628-645. PubMed ID: 35118907
[TBL] [Abstract][Full Text] [Related]
7. Feature Selection and Non-Linear Classifiers: Effects on Simultaneous Motion Recognition in Upper Limb.
Camargo J; Young A
IEEE Trans Neural Syst Rehabil Eng; 2019 Apr; 27(4):743-750. PubMed ID: 30869626
[TBL] [Abstract][Full Text] [Related]
8. Towards Efficient Decoding of Multiple Classes of Motor Imagery Limb Movements Based on EEG Spectral and Time Domain Descriptors.
Samuel OW; Geng Y; Li X; Li G
J Med Syst; 2017 Oct; 41(12):194. PubMed ID: 29080913
[TBL] [Abstract][Full Text] [Related]
9. Predictive classification of self-paced upper-limb analytical movements with EEG.
Ibáñez J; Serrano JI; del Castillo MD; Minguez J; Pons JL
Med Biol Eng Comput; 2015 Nov; 53(11):1201-10. PubMed ID: 25980505
[TBL] [Abstract][Full Text] [Related]
10. A mechatronics platform to study prosthetic hand control using EMG signals.
Geethanjali P
Australas Phys Eng Sci Med; 2016 Sep; 39(3):765-71. PubMed ID: 27278475
[TBL] [Abstract][Full Text] [Related]
11. EMG-based neuro-fuzzy control of a 4DOF upper-limb power-assist exoskeleton.
Kiguchi K; Imada Y; Liyanage M
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3040-3. PubMed ID: 18002635
[TBL] [Abstract][Full Text] [Related]
12. Novel method to characterize upper-limb movements based on paraconsistent logic and myoelectric signals.
Favieiro GW; Moura KO; Balbinot A
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():395-398. PubMed ID: 28268356
[TBL] [Abstract][Full Text] [Related]
13. Pattern recognition of EMG signals for low level grip force classification.
Khan SM; Khan AA; Farooq O
Biomed Phys Eng Express; 2021 Sep; 7(6):. PubMed ID: 34474400
[TBL] [Abstract][Full Text] [Related]
14. Identification of Upper-Limb Movements Based on Muscle Shape Change Signals for Human-Robot Interaction.
Huang P; Wang H; Wang Y; Liu Z; Samuel OW; Yu M; Li X; Chen S; Li G
Comput Math Methods Med; 2020; 2020():5694265. PubMed ID: 32351614
[TBL] [Abstract][Full Text] [Related]
15. EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review.
Al-Quraishi MS; Elamvazuthi I; Daud SA; Parasuraman S; Borboni A
Sensors (Basel); 2018 Oct; 18(10):. PubMed ID: 30301238
[TBL] [Abstract][Full Text] [Related]
16. Upper-limb movement classification based on sEMG signal validation with continuous channel selection.
Cene VH; Favieiro G; Balbinot A
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():486-9. PubMed ID: 26736305
[TBL] [Abstract][Full Text] [Related]
17. A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses.
Huang Y; Englehart KB; Hudgins B; Chan AD
IEEE Trans Biomed Eng; 2005 Nov; 52(11):1801-11. PubMed ID: 16285383
[TBL] [Abstract][Full Text] [Related]
18. Development of an EMG-Based Muscle Health Model for Elbow Trauma Patients.
Farago E; Chinchalkar S; Lizotte DJ; Trejos AL
Sensors (Basel); 2019 Jul; 19(15):. PubMed ID: 31357650
[TBL] [Abstract][Full Text] [Related]
19. Upper limb complex movements decoding from pre-movement EEG signals using wavelet common spatial patterns.
Mohseni M; Shalchyan V; Jochumsen M; Niazi IK
Comput Methods Programs Biomed; 2020 Jan; 183():105076. PubMed ID: 31546195
[TBL] [Abstract][Full Text] [Related]
20. Identification of a feature selection based pattern recognition scheme for finger movement recognition from multichannel EMG signals.
Purushothaman G; Vikas R
Australas Phys Eng Sci Med; 2018 Jun; 41(2):549-559. PubMed ID: 29744809
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
