000 03123nam a22004815i 4500
001 978-3-319-25706-8
003 DE-He213
005 20200421111206.0
007 cr nn 008mamaa
008 151028s2016 gw | s |||| 0|eng d
020 _a9783319257068
_9978-3-319-25706-8
024 7 _a10.1007/978-3-319-25706-8
_2doi
050 4 _aR856-857
072 7 _aMQW
_2bicssc
072 7 _aTEC009000
_2bisacsh
082 0 4 _a610.28
_223
100 1 _aFreeman, Chris.
_eauthor.
245 1 0 _aControl System Design for Electrical Stimulation in Upper Limb Rehabilitation
_h[electronic resource] :
_bModelling, Identification and Robust Performance /
_cby Chris Freeman.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXIII, 176 p. 57 illus., 20 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction.-Modelling and Identification -- Combined FES & Robotic Upper Limb Dynamics -- Model Identification -- Feedback Control Design -- Iterative Learning Control Design -- Clinical Application: Multiple Sclerosis -- Constrained ILC for Human Motor Control -- Clinical Application: Goal-orientated Stroke Rehabilitation -- Electrode Array-based Stimulation -- Clinical Application: Fully Functional Stroke Rehabilitation -- Conclusions and Future Research Directions.
520 _aThis book presents a comprehensive framework for model-based electrical stimulation (ES) controller design, covering the whole process needed to develop a system for helping people with physical impairments perform functional upper limb tasks such as eating, grasping and manipulating objects. The book first demonstrates procedures for modelling and identifying biomechanical models of the response of ES, covering a wide variety of aspects including mechanical support structures, kinematics, electrode placement, tasks, and sensor locations. It then goes on to demonstrate how complex functional activities of daily living can be captured in the form of optimisation problems, and extends ES control design to address this case. It then lays out a design methodology, stability conditions, and robust performance criteria that enable control schemes to be developed systematically and transparently, ensuring that they can operate effectively in the presence of realistic modelling uncertainty, physiological variation and measurement noise.
650 0 _aEngineering.
650 0 _aRehabilitation medicine.
650 0 _aControl engineering.
650 0 _aBiomedical engineering.
650 1 4 _aEngineering.
650 2 4 _aBiomedical Engineering.
650 2 4 _aRehabilitation Medicine.
650 2 4 _aControl.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319257044
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-25706-8
912 _aZDB-2-ENG
942 _cEBK
999 _c54149
_d54149