A novel noninvasive brain–computer interface by imagining isometric force levels

Birbaumer N, Cohen LG (2007) Brain–computer interfaces: communication and restoration of movement in paralysis. J Physiol 579(3):621–636

CAS  Article  Google Scholar 

Blankertz B, Sannelli C, Halder S, Hammer EM, Kübler A, Müller K-R, Curio G, Dickhaus T (2010) Neurophysiological predictor of SMR-based BCI performance. Neuroimage 51(4):1303–1309

Article  Google Scholar 

Carlson T, Demiris Y (2012) Collaborative control for a robotic wheelchair: evaluation of performance, attention, and workload. IEEE Trans Syst Man Cybern Part B Cybern 42(3):876–888

Article  Google Scholar 

Casson AJ, Yates DC, Smith SJ, Duncan JS, Rodriguez-Villegas E (2010) Wearable electroencephalography. IEEE Eng Med Biol Mag 29(3):44–56

Article  Google Scholar 

Cherkassky V (1997) The Nature Of Statistical Learning Theory~. IEEE Trans Neural Netw 8(6):1564

CAS  Article  Google Scholar 

Contreras-Vidal JL, Grossman RG (2013) NeuroRex: a clinical neural interface roadmap for EEG-based brain machine interfaces to a lower body robotic exoskeleton. In: Conference proceedings: annual international conference of The IEEE engineering in medicine and biology society. IEEE engineering in medicine and biology society. Annual conference [Conf Proc IEEE Eng Med Biol Soc], 2013

Delorme A, Makeig S (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134(1):9–21

Article  Google Scholar 

Fu Y, Xiong X, Jiang C, Xu B, Li Y, Li H (2017) Imagined hand clenching force and speed modulate brain activity and are classified by NIRS combined With EEG. IEEE Trans Neural Syst Rehabil Eng 25(9):1641–1651

Article  Google Scholar 

Leeb R, Tonin L, Rohm M, Desideri L, Carlson T, Millan JDR (2015) Towards independence: a BCI telepresence robot for people with severe motor disabilities. Proc IEEE 103(6):969–982

Article  Google Scholar 

Long J, Tazoe T, Soteropoulos DS, Perez MA (2016) Interhemispheric connectivity during bimanual isometric force generation. J Neurophysiol 115(3):1196–1207

Article  Google Scholar 

Ma Y, Ding X, She Q, Luo Z, Potter T, Zhang Y (2016) Classification of motor imagery EEG signals with support vector machines and particle swarm optimization. Comput Math Methods Med

Millán JD, Galán F, Vanhooydonck D, Lew E, Philips J, Nuttin M (2009) Asynchronous non-invasive brain-actuated control of an intelligent wheelchair. In: Conference proceedings: annual international conference of the IEEE engineering in medicine and biology society. IEEE engineering in medicine and biology society. annual conference [Conf Proc IEEE Eng Med Biol Soc], 2009

Müller-Putz GR, Scherer R, Pfurtscheller G, Rupp R (2005) EEG-based neuroprosthesis control: a step towards clinical practice. Neurosci Lett 382(1–2):169–174

Article  Google Scholar 

Pfurtscheller G, Neuper C (2001) Motor imagery and direct brain–computer communication. Proc IEEE 89(7):1123–1134

Article  Google Scholar 

Pfurtscheller G, Neuper C, Guger C, Harkam W, Ramoser H, Schlogl A, Obermaier B, Pregenzer M (2000) Current trends in Graz brain–computer interface (BCI) research. IEEE Trans Rehabil Eng 8(2):216–219

CAS  Article  Google Scholar 

Ramoser H, Muller-Gerking J, Pfurtscheller G (2000) Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Trans Rehabil Eng 8(4):441–446

CAS  Article  Google Scholar 

Tavella M, Leeb R, Rupp R, Millán JDR (2010) Towards natural non-invasive hand neuroprostheses for daily living. In: 2010 Annual international conference of the IEEE engineering in medicine and biology, pp 126–129

Vuckovic A, Sepulveda F (2008) Delta band contribution in cue based single trial classification of real and imaginary wrist movements. Med Biol EngComput 46(6):529–539

Article  Google Scholar 

Wolpaw JR (2007) Brain–computer interfaces as new brain output pathways. J Physiol 579(3):613–619

CAS  Article  Google Scholar 

Wolpaw JR, Birbaumer N, Heetderks WJ, McFarland DJ, Peckham PH, Schalk G, Donchin E, Quatrano LA, Robinson CJ, Vaughan TM (2000) Brain–computer interface technology: a review of the first international meeting. IEEE Trans Rehabil Eng 8(2):164–173

CAS  Article  Google Scholar 

Xu L, Xu M, Jung TP, Ming D (2021) Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface [published correction appears in Cogn Neurodyn. 2021 Oct;15(5):921]. Cogn Neurodyn 15(4):569–584

Article  Google Scholar 

Yan W, Xu G (2020) Brain–computer interface method based on light-flashing and motion hybrid coding. Cogn Neurodyn 14(5):697–708

Article  Google Scholar 

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