- Title Pages
- Dedication
- Preface
- Acknowledgments
- Contributors
- Chapter Reviewers
-
1 Brain–Computer Interfaces: Something New under the Sun -
2 Neuronal Activity in Motor Cortex and Related Areas -
3 Electric and Magnetic Fields Produced by the Brain -
4 Signals Reflecting Brain Metabolic Activity -
5 Acquiring Brain Signals from within the Brain -
6 Acquiring Brain Signals from Outside the Brain -
7 BCI Signal Processing: Feature Extraction -
8 BCI Signal Processing: Feature Translation -
9 BCI Hardware and Software -
10 BCI Operating Protocols -
11 BCI Applications -
12 BCIs That Use P300 Event-Related Potentials -
13 BCIs That Use Sensorimotor Rhythms -
14 BCIs That Use Steady-State Visual Evoked Potentials or Slow Cortical Potentials -
15 BCIs That Use Electrocorticographic Activity -
16 BCIs That Use Signals Recorded in Motor Cortex -
17 BCIs That Use Signals Recorded in Parietal or Premotor Cortex -
18 BCIs That Use Brain Metabolic Signals -
19 BCI Users and Their Needs -
20 Clinical Evaluation of BCIs -
21 Dissemination: Getting BCIs to the People Who Need Them -
22 BCI Therapeutic Applications for Improving Brain Function -
23 BCI Applications for the General Population -
24 Ethical Issues in BCI Research -
25 The Future of BCIs: Meeting the Expectations - Index
BCIs That Use Electrocorticographic Activity
BCIs That Use Electrocorticographic Activity
- Chapter:
- 15 BCIs That Use Electrocorticographic Activity
- Source:
- Brain–Computer Interfaces
- Author(s):
Gerwin Schalk
- Publisher:
- Oxford University Press
This chapter discusses the potential of electrocorticography (ECoG) as a clinically useful brain-computer interface signal modality. ECoG has greater amplitude, higher topographical resolution, and a much broader frequency range than scalp-recorded electroencephalography and is less susceptible to artifacts. With current and foreseeable recording methodologies, ECoG is likely to have greater long-term stability than intracortically recorded signals. Furthermore, it can more readily be recorded from larger cortical areas, and it requires much lower digitization rates, thus greatly reducing the power requirements of wholly implanted systems.
Keywords: ECoG, brain-computer interfaces, brain signals, intracortically recorded signals
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- Title Pages
- Dedication
- Preface
- Acknowledgments
- Contributors
- Chapter Reviewers
-
1 Brain–Computer Interfaces: Something New under the Sun -
2 Neuronal Activity in Motor Cortex and Related Areas -
3 Electric and Magnetic Fields Produced by the Brain -
4 Signals Reflecting Brain Metabolic Activity -
5 Acquiring Brain Signals from within the Brain -
6 Acquiring Brain Signals from Outside the Brain -
7 BCI Signal Processing: Feature Extraction -
8 BCI Signal Processing: Feature Translation -
9 BCI Hardware and Software -
10 BCI Operating Protocols -
11 BCI Applications -
12 BCIs That Use P300 Event-Related Potentials -
13 BCIs That Use Sensorimotor Rhythms -
14 BCIs That Use Steady-State Visual Evoked Potentials or Slow Cortical Potentials -
15 BCIs That Use Electrocorticographic Activity -
16 BCIs That Use Signals Recorded in Motor Cortex -
17 BCIs That Use Signals Recorded in Parietal or Premotor Cortex -
18 BCIs That Use Brain Metabolic Signals -
19 BCI Users and Their Needs -
20 Clinical Evaluation of BCIs -
21 Dissemination: Getting BCIs to the People Who Need Them -
22 BCI Therapeutic Applications for Improving Brain Function -
23 BCI Applications for the General Population -
24 Ethical Issues in BCI Research -
25 The Future of BCIs: Meeting the Expectations - Index
