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001 978-3-319-67437-7
003 DE-He213
005 20220801221306.0
007 cr nn 008mamaa
008 171024s2018 sz | s |||| 0|eng d
020 _a9783319674377
_9978-3-319-67437-7
024 7 _a10.1007/978-3-319-67437-7
_2doi
050 4 _aR856-857
072 7 _aMQW
_2bicssc
072 7 _aTEC059000
_2bisacsh
072 7 _aMQW
_2thema
082 0 4 _a610.28
_223
100 1 _aAncillao, Andrea.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_955182
245 1 0 _aModern Functional Evaluation Methods for Muscle Strength and Gait Analysis
_h[electronic resource] /
_cby Andrea Ancillao.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIV, 121 p. 87 illus., 72 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-5318
520 _aThis 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 protocolĀ 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 dat a and to aggregate the results into reports. In closing, a thorough discussion of the results is presented from a contextual standpoint.
650 0 _aBiomedical engineering.
_93292
650 0 _aBiotechnology.
_97533
650 0 _aElectronics.
_93425
650 1 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aBiotechnology.
_97533
650 2 4 _aElectronics and Microelectronics, Instrumentation.
_932249
710 2 _aSpringerLink (Online service)
_955183
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319674360
776 0 8 _iPrinted edition:
_z9783319674384
830 0 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-5318
_955184
856 4 0 _uhttps://doi.org/10.1007/978-3-319-67437-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79503
_d79503