東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Modern functional evaluation methods...

Ancillao, Andrea.

Linked to FindBook

Google Book

Amazon

博客來

Modern functional evaluation methods for muscle strength and gait analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modern functional evaluation methods for muscle strength and gait analysis/ by Andrea Ancillao.
Author:	Ancillao, Andrea.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xiv, 121 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Human mechanics - Analysis. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-67437-7
ISBN:	9783319674377

Modern functional evaluation methods for muscle strength and gait analysis
Ancillao, Andrea.

Modern functional evaluation methods for muscle strength and gait analysis[electronic resource] /by Andrea Ancillao. - Cham :Springer International Publishing :2018. - xiv, 121 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

This book reviews in detail the history of motion analysis, including the earliest attempts to capture, freeze, study and reproduce motion. The state-of-the-art technology in use today, i.e. optoelectronic systems, is then discussed, as motion capture now plays an important role in clinical decisions regarding the diagnosis and treatment of motor pathologies from the perspective of evidence based medicine. After reviewing previous experiments, the book discusses two modern research projects, providing detailed descriptions of the methods used and the challenges that arose in the context of designing the experiments. In these projects, advanced signal processing and motion capture techniques were employed in order to design: (i) a protocol for the validation and quality assurance of clinical strength measurements; (ii) an algorithm for interpreting clinical gait analysis data; and (iii) a number of user-friendly software tools that can be used in clinical settings to process data and to aggregate the results into reports. In closing, a thorough discussion of the results is presented from a contextual standpoint.

ISBN: 9783319674377

Standard No.: 10.1007/978-3-319-67437-7doiSubjects--Topical Terms:

3297502
Human mechanics
--Analysis.

LC Class. No.: QP303

Dewey Class. No.: 612.76

Modern functional evaluation methods for muscle strength and gait analysis
LDR:02127nmm a2200313 a 4500 001 2131687
003 DE-He213
005 20180620115238.0
006 m d
007 cr nn 008maaau
008 181005s2018 gw s 0 eng d
020 $a 9783319674377 $q (electronic bk.)
020 $a 9783319674360 $q (paper)
024 7 $a 10.1007/978-3-319-67437-7 $2 doi
035 $a 978-3-319-67437-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QP303
072 7 $a MQW $2 bicssc
072 7 $a TEC009000 $2 bisacsh
082 0 4 $a 612.76 $2 23
090 $a QP303 $b .A541 2018
100 1 $a Ancillao, Andrea. $3 3297501
245 1 0 $a Modern functional evaluation methods for muscle strength and gait analysis $h [electronic resource] / $c by Andrea Ancillao.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xiv, 121 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
520 $a This book reviews in detail the history of motion analysis, including the earliest attempts to capture, freeze, study and reproduce motion. The state-of-the-art technology in use today, i.e. optoelectronic systems, is then discussed, as motion capture now plays an important role in clinical decisions regarding the diagnosis and treatment of motor pathologies from the perspective of evidence based medicine. After reviewing previous experiments, the book discusses two modern research projects, providing detailed descriptions of the methods used and the challenges that arose in the context of designing the experiments. In these projects, advanced signal processing and motion capture techniques were employed in order to design: (i) a protocol for the validation and quality assurance of clinical strength measurements; (ii) an algorithm for interpreting clinical gait analysis data; and (iii) a number of user-friendly software tools that can be used in clinical settings to process data and to aggregate the results into reports. In closing, a thorough discussion of the results is presented from a contextual standpoint.
650 0 $a Human mechanics $x Analysis. $3 3297502
650 1 4 $a Engineering. $3 586835
650 2 4 $a Biomedical Engineering. $3 720279
650 2 4 $a Biomedical Engineering/Biotechnology. $3 2162071
650 2 4 $a Electronics and Microelectronics, Instrumentation. $3 893838
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in applied sciences and technology. $3 1565541
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-67437-7
950 $a Engineering (Springer-11647)