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Energy efficiency of medical devices...

Mohamed, Amr.

Energy efficiency of medical devices and healthcare applications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Energy efficiency of medical devices and healthcare applications/ edited by Amr Mohamed.
other author:	Mohamed, Amr.
Published:	London :Academic Press, : 2020.,
Description:	1 online resource (xiii, 170 p.) :ill. (some col.) :
Subject:	Medical instruments and apparatus - Energy consumption. -
Online resource:	https://www.sciencedirect.com/science/book/9780128190456
ISBN:	9780128190463 (electronic bk.)

Energy efficiency of medical devices and healthcare applications
Energy efficiency of medical devices and healthcare applications[electronic resource] /edited by Amr Mohamed. - London :Academic Press,2020. - 1 online resource (xiii, 170 p.) :ill. (some col.)

Includes bibliographical references and index.

AI-based techniques on edge devices to optimize energy efficiency in m-Health applications -- Applying an efficient evolutionary algorithm for EEG signal feature selection and classification in decision-based systems -- Edge computing for energy-efficient smart health systems : data and application-specific approaches -- Energy-efficient EEG monitoring systems for wireless epileptic seizure detection -- Intelligent energy-aware decision-making at the edge in healthcare using fog infrastructure -- Deep learning-based security schemes for implantable medical devices -- Secure medical treatment with deep learning on embedded board -- Blockchain applications for healthcare.

ISBN: 9780128190463 (electronic bk.)Subjects--Topical Terms:

1343522
Medical instruments and apparatus
--Energy consumption.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: R856

Dewey Class. No.: 610.28/4

Energy efficiency of medical devices and healthcare applications
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020 $a 9780128190463 (electronic bk.)
020 $a 0128190469 (electronic bk.)
020 $a 9780128190456
020 $a 0128190450
035 $a (OCoLC)1141410513
035 $a on1141410513
040 $a YDX $b eng $c YDX $d OPELS $d UKMGB $d UKAHL $d OCLCF $d EBLCP $d N$T $d UHL $d OCLCO $d OCLCA $d WAU
041 0 $a eng
050 4 $a R856
082 0 4 $a 610.28/4 $2 23
245 0 0 $a Energy efficiency of medical devices and healthcare applications $h [electronic resource] / $c edited by Amr Mohamed.
260 $a London : $b Academic Press, $c 2020.
300 $a 1 online resource (xiii, 170 p.) : $b ill. (some col.)
504 $a Includes bibliographical references and index.
505 0 $a AI-based techniques on edge devices to optimize energy efficiency in m-Health applications -- Applying an efficient evolutionary algorithm for EEG signal feature selection and classification in decision-based systems -- Edge computing for energy-efficient smart health systems : data and application-specific approaches -- Energy-efficient EEG monitoring systems for wireless epileptic seizure detection -- Intelligent energy-aware decision-making at the edge in healthcare using fog infrastructure -- Deep learning-based security schemes for implantable medical devices -- Secure medical treatment with deep learning on embedded board -- Blockchain applications for healthcare.
650 0 $a Medical instruments and apparatus $x Energy consumption. $3 1343522
650 0 $a Health facilities $x Energy consumption. $3 1343523
650 2 $a Equipment and Supplies. $3 745439
650 2 $a Electrical Equipment and Supplies. $3 1027082
650 2 $a Health Facilities. $3 963085
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Mohamed, Amr. $e editor. $3 1255256
856 4 0 $u https://www.sciencedirect.com/science/book/9780128190456

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