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Brain–Computer Interface Research

Part of the SpringerBriefs in Electrical and Computer Engineering Book Series

Editors: Guger, Christoph; Allison, Brendan Z.; Miller, Kai

DOI: 10.1007/978-3-030-49583-1

ISBN: 978-3-030-49582-4

Publisher: Springer International Publishing - Springer Journals

Oct 18, 2020

1 - 10 of 10 Chapters

LitStream

Chapter 1Introduction

Guger, Christoph; Miller, Kai; Allison, Brendan Z.

Pages: 1 –9

[Facebook, Elon Musk, and others are pursuing large-scale research and development projects involving brain-computer interface (BCI) systems. Each year, we have organized a BCI Research Award devoted to the best projects in BCI research. This year’s book begins with a chapter that introduces...
LitStream

Chapter 2Generating Handwriting from Multichannel Electromyographic Activity

Lebedev, Mikhail A.; Ossadtchi, Alexei E.; Okorokova, Elizaveta; Erlichman, Joseph S.; Rupasov, Valery I.; Linderman, Michael

Pages: 11 –23

[Handwriting is an advanced motor skill and one of the key developments in human culture. Here we show that handwriting can be decoded—offline and online—from electromyographic (EMG) signals recorded from multiple hand and forearm muscles. We convert EMGs into continuous handwriting traces and...
LitStream

Chapter 3Neural Decoding of Upper Limb Movements Using Electroencephalography

Pei, Dingyi; Burns, Martin; Chandramouli, Rajarathnam; Vinjamuri, Ramana

Pages: 25 –33

[Rationale: The human central nervous system (CNS) effortlessly performs complex hand movements with the control and coordination of multiple degrees of freedom (DoF), but how those mechanisms are encoded in the CNS remains unclear. In order to investigate the neural representations of human...
LitStream

Chapter 4Restoring Functional Reach-to-Grasp in a Person with Chronic Tetraplegia Using Implanted Functional Electrical Stimulation and Intracortical Brain-Computer Interfaces

Bolu Ajiboye, A.; Hochberg, Leigh R.; Kirsch, Robert F.

Pages: 35 –45

[This study demonstrates volitional arm and hand motions restored to a person living with complete tetraplegia due to high cervical spinal cord injury. Selective intramuscular functional electrical stimulation (FES) of paralyzed muscles throughout the upper extremity powered multiple reaching and...
LitStream

Chapter 5Towards Speech Synthesis from Intracranial Signals

Herff, Christian; Diener, Lorenz; Mugler, Emily; Slutzky, Marc; Krusienski, Dean; Schultz, Tanja

Pages: 47 –54

[Brain-computer interfaces (BCIs) are envisioned to enable individuals with severe disabilities to regain the ability to communicate. Early BCIs have provided users with the ability to type messages one letter at a time, providing an important, but slow, means of communication for locked-in...
LitStream

Chapter 6Neural Decoding of Attentional Selection in Multi-speaker Environments Without Access to Clean Sources

O’Sullivan, James; Chen, Zhuo; Herrero, Jose; Sheth, Sameer A.; McKhann, Guy; Mehta, Ashesh D.; Mesgarani, Nima

Pages: 55 –64

[People who suffer from hearing impairments can find it difficult to follow a conversation in a multi-speaker environment. Modern hearing aids can suppress background noise; however, there is little that can be done to help a user attend to a single conversation without knowing which speaker is...
LitStream

Chapter 7Goal-Directed BCI Feedback Using Cortical Microstimulation

Ghenbot, Yohannes; Liu, Xilin; Hao, Han; Rinehart, Cole; DeLuccia, Sam; Maldonado, Solymar Torres; Boyek, Gregory; Zhang, Milin; Aflatouni, Firooz; Van der Spiegel, Jan; Lucas, Timothy H.; Richardson, Andrew G.

Pages: 65 –73

[Paralyzed individuals would benefit from brain-computer interface (BCI) systems that restore not just motor function but also tactile and proprioceptive feedback. Such feedback has been shown to be critical to motor performance. Intracortical microstimulation (ICMS) has often been employed to...
LitStream

Chapter 8Neuromotor Recovery Based on BCI, FES, Virtual Reality and Augmented Feedback for Upper Limbs

Lupu, Robert Gabriel; Ungureanu, Florina; Ferche, Oana; Moldoveanu, Alin

Pages: 75 –85

[Recently investigated rehabilitative practices involving Brain-Computer Interface (BCI) and Functional Electrical Stimulation (FES) techniques provided long-lasting benefits after short-term recovering programs. The prevalence of this revolutionary approach received a boost from virtual reality...
LitStream

Chapter 9A Dynamic Window SSVEP-Based Brain-Computer Interface System Using a Spatio-temporal Equalizer

Yang, Chen; Li, Xiang; Shi, Nanlin; Wang, Yijun; Gao, Xiaorong

Pages: 87 –105

[In this study, we developed a high-speed steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system to address two long-standing challenges in BCIs: tedious user training and low applicability for target users. We designed a training-free method with low...
LitStream

Chapter 10Highlights and Interviews with Winners

Guger, Christoph; Allison, Brendan Z.; Miller, Kai

Pages: 107 –121

[The preceding nine chapters in this book presented an introduction and summaries of eight projects that were nominated for a BCI Research Award in 2018. In this chapter, we summarize the 2018 Awards Ceremony where we announced the three winning projects. We interviewed authors of these winning...

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