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All issues MATEC Web of Conferences, 51 (2016) 02011 Article references

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Cited article:

BCI-controlled wheelchairs: end-users’ perceptions, needs, and expectations, an interview-based study

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Recent Progress in Wearable Brain–Computer Interface (BCI) Devices Based on Electroencephalogram (EEG) for Medical Applications: A Review

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Brain EEG Time-Series Clustering Using Maximum-Weight Clique

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Intelligent Control of Robotic Arm Using Brain Computer Interface and Artificial Intelligence

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Galvanic Vestibular Stimulation-Based Prediction Error Decoding and Channel Optimization

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International Journal of Neural Systems 31 (11) (2021)
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Brain-Controlled Wheelchair Review: From Wet Electrode to Dry Electrode, From Single Modal to Hybrid Modal, From Synchronous to Asynchronous

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IEEE Access 9 55920 (2021)
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EEG-Based Eye Movement Recognition Using Brain–Computer Interface and Random Forests

Evangelos Antoniou, Pavlos Bozios, Vasileios Christou, Katerina D. Tzimourta, Konstantinos Kalafatakis, Markos G. Tsipouras, Nikolaos Giannakeas and Alexandros T. Tzallas
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Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review

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Wearable and Comfortable e-Textile Headband for Long-Term Acquisition of Forehead EEG Signals

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IEEE Sensors Journal 20 (24) 15107 (2020)
https://doi.org/10.1109/JSEN.2020.3009629