國立高雄大學圖資館 |

Language: English

Back

Applications of brain-computer interfaces in intelligent technologies

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications of brain-computer interfaces in intelligent technologiesby Szczepan Paszkiel.
Author:	Paszkiel, Szczepan.
Published:	Cham :Springer International Publishing :2022.
Description:	xiv, 110 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Brain-computer interfaces.
Online resource:	https://doi.org/10.1007/978-3-031-05501-0
ISBN:	9783031055010$q(electronic bk.)

Applications of brain-computer interfaces in intelligent technologies
Paszkiel, Szczepan.

Applications of brain-computer interfaces in intelligent technologies[electronic resource] /by Szczepan Paszkiel. - Cham :Springer International Publishing :2022. - xiv, 110 p. :ill. (chiefly color), digital ;24 cm. - Studies in computational intelligence,v. 10311860-9503 ;. - Studies in computational intelligence ;v. 216..

Introduction -- Population models of neuronal ensembles for BCI technology -- Methods of analyzing EEG signals for the needs of BCI technology including Motor Imagery -- Application of brain-computer interface technology in neurogaming.

The BCI technology finds newer and newer implementations. Year by year, the number of publications in this field grows exponentially. This book attempts to describe the implementation of the brain-computer technology based on both STM32 and Arduino microcontrollers. In addition, the application of BCI technology in the field of intelligent houses, robotic lines as well as in the field of bionic prostheses was presented. One of the chapters of the monograph also discusses the issue of fMRI in the context of the possibility of analyzing images made as part of fMRI through solutions based on machine learning. A practical implementation of the TensorFlow framework was presented. The fMRI technique is also often implemented in BCI solutions. The conducted literature studies show that the technology of BCI is undoubtedly a technology of the future. However, there is a need for continuous development of biomedical signal processing methods in order to obtain the most efficient implementations in the case of non-invasive implementation of BCI technology based on EEG. The further development of BCI technology has a huge impact on the techniques of rehabilitation of people with disabilities. Nowadays, wheelchairs are being constructed, thanks to which a disabled person is physically able to direct his position in a certain direction and at a certain speed. Thanks to BCI, it is also possible to create an individual speech synthesizer, with the help of which a paralyzed person will be able to communicate with the outside world. New limb prostheses that will replace the lost locomotor system in almost one hundred percent are still being developed. Some prostheses are connected to the human nervous system, thanks to which they are able to send feedback to our brain about the shape, hardness and temperature of the object held in the artificial limb.

ISBN: 9783031055010$q(electronic bk.)

Standard No.: 10.1007/978-3-031-05501-0doiSubjects--Topical Terms:

286641
Brain-computer interfaces.

LC Class. No.: QP360.7 / .P37 2022

Dewey Class. No.: 005.437

Applications of brain-computer interfaces in intelligent technologies
LDR:03208nmm a2200337 a 4500 001 627755
003 DE-He213
005 20220708174209.0
006 m d
007 cr nn 008maaau
008 230201s2022 sz s 0 eng d
020 $a 9783031055010$q(electronic bk.)
020 $a 9783031055003$q(paper)
024 7 $a 10.1007/978-3-031-05501-0 $2 doi
035 $a 978-3-031-05501-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QP360.7 $b .P37 2022
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 005.437 $2 23
090 $a QP360.7 $b .P293 2022
100 1 $a Paszkiel, Szczepan. $3 806508
245 1 0 $a Applications of brain-computer interfaces in intelligent technologies $h [electronic resource] / $c by Szczepan Paszkiel.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xiv, 110 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-9503 ; $v v. 1031
505 0 $a Introduction -- Population models of neuronal ensembles for BCI technology -- Methods of analyzing EEG signals for the needs of BCI technology including Motor Imagery -- Application of brain-computer interface technology in neurogaming.
520 $a The BCI technology finds newer and newer implementations. Year by year, the number of publications in this field grows exponentially. This book attempts to describe the implementation of the brain-computer technology based on both STM32 and Arduino microcontrollers. In addition, the application of BCI technology in the field of intelligent houses, robotic lines as well as in the field of bionic prostheses was presented. One of the chapters of the monograph also discusses the issue of fMRI in the context of the possibility of analyzing images made as part of fMRI through solutions based on machine learning. A practical implementation of the TensorFlow framework was presented. The fMRI technique is also often implemented in BCI solutions. The conducted literature studies show that the technology of BCI is undoubtedly a technology of the future. However, there is a need for continuous development of biomedical signal processing methods in order to obtain the most efficient implementations in the case of non-invasive implementation of BCI technology based on EEG. The further development of BCI technology has a huge impact on the techniques of rehabilitation of people with disabilities. Nowadays, wheelchairs are being constructed, thanks to which a disabled person is physically able to direct his position in a certain direction and at a certain speed. Thanks to BCI, it is also possible to create an individual speech synthesizer, with the help of which a paralyzed person will be able to communicate with the outside world. New limb prostheses that will replace the lost locomotor system in almost one hundred percent are still being developed. Some prostheses are connected to the human nervous system, thanks to which they are able to send feedback to our brain about the shape, hardness and temperature of the object held in the artificial limb.
650 0 $a Brain-computer interfaces. $3 286641
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Engineering. $3 839346
650 2 4 $a Artificial Intelligence. $3 212515
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u https://doi.org/10.1007/978-3-031-05501-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)