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Titlebook: Brain-Computer Interface Research; A State-of-the-Art S Christoph Guger,Brendan Z. Allison,Günter Edlinger Book 2013 The Author(s) 2013 Aud

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21#
發(fā)表于 2025-3-25 05:02:33 | 只看該作者
,An Auditory Output Brain–Computer Interface for Speech Communication,cation. Specifically, the act of speech production is unequivocally a motor behavior; speech arises from the precise activation of all of the muscles of the respiratory and vocal mechanisms. Speech also preferentially relies on auditory output to communicate information between conversation partners
22#
發(fā)表于 2025-3-25 11:16:09 | 只看該作者
,User-Appropriate and Robust Control Strategies to Enhance Brain?Computer Interface Performance and (2) whether mental imagery-based BCIs are robust and stable enough for real-world applications and (3) user-comfort in able-bodied and disabled individuals. Three studies were conducted to address these issues. The results showed that alternatives to motor imagery can provide a great benefit especi
23#
發(fā)表于 2025-3-25 15:36:00 | 只看該作者
,What’s Your Next Move? Detecting Movement Intention for Stroke Rehabilitation,troke. In this chapter, we describe a novel therapeutic strategy for hand rehabilitation making use of this method. The approach consists of recording brain activity in cortical motor areas by means of near-infrared spectroscopy, and complementing the cortical signals with physiological data acquire
24#
發(fā)表于 2025-3-25 15:54:40 | 只看該作者
,A Review of Performance Variations in SMR-Based Brain?Computer Interfaces (BCIs),rticle, we review recent progress in understanding the origins of such variations for BCIs based on the sensorimotor-rhythm (SMR). We propose a classification of studies according to four categories, and argue that an investigation of the neuro-physiological correlates of within-subject variations i
25#
發(fā)表于 2025-3-25 21:23:56 | 只看該作者
Exploring the Cortical Dynamics of Learning by Leveraging BCI Paradigms,ed to allow users to volitionally guide them through simple tasks. Contemporary BCI research focuses on squeezing additional functionality out of standardized paradigms, be it achieving more bits per second, increased degrees of freedom, or increasing accuracy. While these studies have shown margina
26#
發(fā)表于 2025-3-26 02:02:33 | 只看該作者
27#
發(fā)表于 2025-3-26 08:22:51 | 只看該作者
Seven Degree of Freedom Cortical Control of a Robotic Arm,om single units of monkeys with implanted chronic microelectrode arrays, we can now demonstrate brain control of a prosthetic arm that exhibits the following features: (1) simultaneous 7-degree of freedom (DoF) brain control over 3-D robot hand translation, 3-D rotation, and finger aperture, (2) int
28#
發(fā)表于 2025-3-26 12:01:11 | 只看該作者
29#
發(fā)表于 2025-3-26 16:21:58 | 只看該作者
Towards a Speech BCI Using ECoG, has been commonly investigated and utilized for device control in humans has been brain signals from sensorimotor cortex. More recently, speech networks have emerged as a new neurophysiological substrate that could be used to both further improve on or complement existing motor-based control paradi
30#
發(fā)表于 2025-3-26 20:51:36 | 只看該作者
Towards Communication in the Completely Locked-In State: Neuroelectric Semantic Conditioning BCI,means of communication and they have represented the target population for brain–computer interface (BCI) research in the last 15 years. Although different paradigms have been tested as well as different physiological signals have been used, to date no documented CLIS patient was able to control a B
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