213 related articles for article (PubMed ID: 30440792)
1. A hybrid EEG-EMG BMI improves the detection of movement intention in cortical stroke patients with complete hand paralysis.
Loopez-Larraz E; Birbaumer N; Ramos-Murguialday A
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2000-2003. PubMed ID: 30440792
[TBL] [Abstract][Full Text] [Related]
2. On the design of EEG-based movement decoders for completely paralyzed stroke patients.
Spüler M; López-Larraz E; Ramos-Murguialday A
J Neuroeng Rehabil; 2018 Nov; 15(1):110. PubMed ID: 30458838
[TBL] [Abstract][Full Text] [Related]
3. Brain-machine interface (BMI) in paralysis.
Chaudhary U; Birbaumer N; Curado MR
Ann Phys Rehabil Med; 2015 Feb; 58(1):9-13. PubMed ID: 25623294
[TBL] [Abstract][Full Text] [Related]
4. Influence of artifacts on movement intention decoding from EEG activity in severely paralyzed stroke patients.
Lopez-Larraz E; Bibian C; Birbaumer N; Ramos-Murguialday A
IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():901-906. PubMed ID: 28813935
[TBL] [Abstract][Full Text] [Related]
5. Is EMG a Viable Alternative to BCI for Detecting Movement Intention in Severe Stroke?
Balasubramanian S; Garcia-Cossio E; Birbaumer N; Burdet E; Ramos-Murguialday A
IEEE Trans Biomed Eng; 2018 Dec; 65(12):2790-2797. PubMed ID: 29993449
[TBL] [Abstract][Full Text] [Related]
6. Stroke lesion location influences the decoding of movement intention from EEG.
Lopez-Larraz E; Ray AM; Figueiredo TC; Bibian C; Birbaumer N; Ramos-Murguialday A
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3065-3068. PubMed ID: 29060545
[TBL] [Abstract][Full Text] [Related]
7. A hybrid brain-machine interface based on EEG and EMG activity for the motor rehabilitation of stroke patients.
Sarasola-Sanz A; Irastorza-Landa N; Lopez-Larraz E; Bibian C; Helmhold F; Broetz D; Birbaumer N; Ramos-Murguialday A
IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():895-900. PubMed ID: 28813934
[TBL] [Abstract][Full Text] [Related]
8. Comparing Recalibration Strategies for Electroencephalography-Based Decoders of Movement Intention in Neurological Patients with Motor Disability.
López-Larraz E; Ibáñez J; Trincado-Alonso F; Monge-Pereira E; Pons JL; Montesano L
Int J Neural Syst; 2018 Sep; 28(7):1750060. PubMed ID: 29463157
[TBL] [Abstract][Full Text] [Related]
9. Residual Upper Arm Motor Function Primes Innervation of Paretic Forearm Muscles in Chronic Stroke after Brain-Machine Interface (BMI) Training.
Curado MR; Cossio EG; Broetz D; Agostini M; Cho W; Brasil FL; Yilmaz O; Liberati G; Lepski G; Birbaumer N; Ramos-Murguialday A
PLoS One; 2015; 10(10):e0140161. PubMed ID: 26495971
[TBL] [Abstract][Full Text] [Related]
10. Event-related desynchronization during movement attempt and execution in severely paralyzed stroke patients: An artifact removal relevance analysis.
López-Larraz E; Figueiredo TC; Insausti-Delgado A; Ziemann U; Birbaumer N; Ramos-Murguialday A
Neuroimage Clin; 2018; 20():972-986. PubMed ID: 30312940
[TBL] [Abstract][Full Text] [Related]
11. Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation.
Pichiorri F; Toppi J; de Seta V; Colamarino E; Masciullo M; Tamburella F; Lorusso M; Cincotti F; Mattia D
J Neuroeng Rehabil; 2023 Jan; 20(1):5. PubMed ID: 36639665
[TBL] [Abstract][Full Text] [Related]
12. Brain-Computer Interface Channel-Selection Strategy Based on Analysis of Event-Related Desynchronization Topography in Stroke Patients.
Li C; Jia T; Xu Q; Ji L; Pan Y
J Healthc Eng; 2019; 2019():3817124. PubMed ID: 31559004
[TBL] [Abstract][Full Text] [Related]
13. Brain-machine interfaces for rehabilitation in stroke: A review.
López-Larraz E; Sarasola-Sanz A; Irastorza-Landa N; Birbaumer N; Ramos-Murguialday A
NeuroRehabilitation; 2018; 43(1):77-97. PubMed ID: 30056435
[TBL] [Abstract][Full Text] [Related]
14. Decoding of motor intentions from epidural ECoG recordings in severely paralyzed chronic stroke patients.
Spüler M; Walter A; Ramos-Murguialday A; Naros G; Birbaumer N; Gharabaghi A; Rosenstiel W; Bogdan M
J Neural Eng; 2014 Dec; 11(6):066008. PubMed ID: 25358531
[TBL] [Abstract][Full Text] [Related]
15. Feature domain-specific movement intention detection for stroke rehabilitation with brain-computer interfaces.
Hadsund JT; Sorensen MB; Royo AC; Niazi IK; Rovsing H; Rovsing C; Jochumsen M
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():5725-5728. PubMed ID: 28269555
[TBL] [Abstract][Full Text] [Related]
16. Detecting and classifying movement-related cortical potentials associated with hand movements in healthy subjects and stroke patients from single-electrode, single-trial EEG.
Jochumsen M; Niazi IK; Taylor D; Farina D; Dremstrup K
J Neural Eng; 2015 Oct; 12(5):056013. PubMed ID: 26305233
[TBL] [Abstract][Full Text] [Related]
17. Corticomuscular coherence analysis on hand movement distinction for active rehabilitation.
Lou X; Xiao S; Qi Y; Hu X; Wang Y; Zheng X
Comput Math Methods Med; 2013; 2013():908591. PubMed ID: 23690885
[TBL] [Abstract][Full Text] [Related]
18. Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients.
Antelis JM; Montesano L; Ramos-Murguialday A; Birbaumer N; Minguez J
IEEE Trans Biomed Eng; 2017 Jan; 64(1):99-111. PubMed ID: 27046866
[TBL] [Abstract][Full Text] [Related]
19. Movement related slow cortical potentials in severely paralyzed chronic stroke patients.
Yilmaz O; Birbaumer N; Ramos-Murguialday A
Front Hum Neurosci; 2014; 8():1033. PubMed ID: 25642177
[TBL] [Abstract][Full Text] [Related]
20. Movement-Related EEG Oscillations of Contralesional Hemisphere Discloses Compensation Mechanisms of Severely Affected Motor Chronic Stroke Patients.
Barios JA; Ezquerro S; Bertomeu-Motos A; Catalan JM; Sanchez-Aparicio JM; Donis-Barber L; Fernandez E; Garcia-Aracil N
Int J Neural Syst; 2021 Dec; 31(12):2150053. PubMed ID: 34719347
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
