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E-raamat: Toward Brain-Computer Interaction in Paralysis: A New Approach Based on Visual Evoked Potentials and Depth-of-Field

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This book presents up-to-date information on Brain-computer Interfaces (BCI).

BCIs are systems that record brain signals, extract features and translate them into computer commands. For instance, in BCIs based on the steady-state visual evoked potentials (SSVEP-BCI), brain potentials evoked by visual stimuli are used for controlling computer-based devices.

Inspired by the optical phenomenon of depth of field, this book introduces, describes, and evaluates a novel way of setting visual stimuli for SSVEP-BCI. It employs two stimuli that were placed at different distances from the subjects so that if one stimulus is focused on, the other one is non-focused. This assessment allows SSVEP-BCI users to modulate their brain signals by shifting their focus because focused and non-focused stimuli evoke different brain potentials. It allows people to send two brain commands with high accuracy rate by shifting their focus. Hence, computer interaction systems can be proposed for people with paralysis, such as patients with amyotrophic lateral sclerosis since focusing mechanism does not demand head, neck, or eyeball movements.





The matter assessed in this book that includes offline and online experiments, is useful for researchers in human-machine interaction who are looking for relevant possibilities of improving the quality of life of people in paralysis situation.
1 Introduction
1(6)
References
4(3)
2 Fundamentals: From Light to Command
7(26)
2.1 Light, Eye and Vision
8(2)
2.2 Image Formation
10(3)
2.3 Field of Vision and Topographic Map
13(1)
2.4 Visual Pathway
13(3)
2.5 Brain Signals and Evoked Potentials
16(3)
2.6 Influence of Refractive Error in VEP
19(1)
2.7 Steady-State VEP
20(2)
2.8 BCI Based on SSVEP
22(3)
2.9 SSVEP-BCI and Gaze Dependence
25(8)
References
30(3)
3 The Novel Stimulation Setup
33(14)
3.1 SSVEP-BCI Stimulation Setup
33(3)
3.2 Non-focused Objects and Depth-of-Field
36(2)
3.3 Optical Point Spread Function (PSF)
38(2)
3.4 Retinal Blurry Model
40(3)
3.5 Accommodation of the Eye
43(4)
References
44(3)
4 Frequency Demodulation for a SSVEP-BCI Based on Depth-of-Field
47(20)
4.1 Traditional Demodulation
48(1)
4.2 Proposed Demodulation
49(3)
4.3 Spatio-Temporal Retinal Response for a Flickering Stimulus
52(3)
4.4 Power Spectrum of the Retinal Response
55(5)
4.5 Experimental Evaluation
60(4)
4.6 Discussion
64(3)
References
65(2)
5 Offline Evaluation of Command Detection
67(12)
5.1 SSVEP Detection Methods
67(3)
5.2 Experimental Procedure
70(1)
5.3 Results
71(5)
5.4 EOG Measurements
76(1)
5.5 Discussion
77(2)
References
78(1)
6 Online Applications in Communication and Control
79(12)
6.1 Binary Selection
79(1)
6.2 BCI for Communication---A Spelling System
80(4)
6.3 BCI for Control---Control of a Telepresence Robot
84(7)
References
89(2)
7 Future Directions in Patients with Paralysis
91(4)
References
92(3)
Index 95