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000742105 0247_ $$a10.1007/978-3-319-21293-7$$2doi
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000742105 24500 $$aModern stroke rehabilitation through e-health-based entertainment /$$cEmmanouela Vogiatzaki, Artur Krukowski, editors.
000742105 264_1 $$aCham :$$bSpringer,$$c[2016]
000742105 264_4 $$c©2016
000742105 300__ $$a1 online resource
000742105 336__ $$atext$$btxt$$2rdacontent
000742105 337__ $$acomputer$$bc$$2rdamedia
000742105 338__ $$aonline resource$$bcr$$2rdacarrier
000742105 5050_ $$aPreface; Abstract; Contents; Chapter 1: Motivation, Market and European Perspective; 1.1 Motivation Behind This Research Work; 1.1.1 Scientific and Technical Objectives; 1.2 Relevance to Research Directions Defined by EU Commission; 1.3 Progress Beyond the State-of-the-Art; 1.3.1 Personal Health Record; 1.3.2 Tracing Body Movement; 1.3.3 Wireless Body Area Networks; 1.3.3.1 Proactive Data Storage Middleware; 1.3.3.2 Signal Processing in BAN; 1.3.4 Protection of Privacy and Private Data; 1.3.5 Knowledge Representation and Reasoning; 1.3.6 Immersive Environments for Stroke Rehabilitation
000742105 5058_ $$a1.4 Potential Impact in Europe and Worldwide1.4.1 Reinforced Medical Knowledge Versus Efficient Disease Management; 1.4.2 European Contribution; 1.4.3 National and International Research Activities; References; Chapter 2: Requirements and Conceptual Architecture; 2.1 User Needs for Post-stroke Home-Based Rehabilitation System; 2.1.1 Sensor Attachments and Fastening; 2.1.2 Physical System Design; 2.1.3 Computer Interface Design; 2.1.4 Exercise Prescription; 2.1.5 Feedback on Progress (and Interface Design of Feedback); 2.1.6 Outcome Measures and Compliance
000742105 5058_ $$a2.2 Clinical Specification of the System2.2.1 WMFT Tests; 2.2.2 Sensors, Data and Metrics; 2.2.3 Design Overview from Clinical and User Perspectives; 2.3 Ethical and Privacy Protection Regulations and Directives; 2.3.1 Involving Adult Healthy Volunteers; 2.3.2 Tracking the Location of People; 2.3.3 Specific Approaches Adopted; 2.4 Authentication and Authorisation; 2.5 Concept Platform Architecture; 2.6 BAN System Overview; 2.6.1 Sensor Specification; 2.6.2 Expert System Use Case; 2.6.3 Home-Based System; 2.6.3.1 Use Case 1; 2.6.3.2 Use Case 2; 2.6.4 Summary of the System Design
000742105 5058_ $$a2.7 Validation and Preliminary Evaluations with Users2.8 Summary and Observations; References; Chapter 3: Data Flow-Driven BAN: Architecture and Algorithms; 3.1 Motivation and Objectives for the  Use of Body-Worn Sensors; 3.2 Goals of BAN Use; 3.2.1 Clinical Assessment; 3.2.2 Investigated Activities of Daily Life; 3.2.3 Instrumented Objects; 3.3 Related Work; 3.4 Objectives of BAN; 3.5 Selection of Key Technical Features; 3.6 Data Flow Concept and Design Requirements; 3.6.1 General Data Flow During Rehabilitation Process; 3.6.2 Daily BAN Data Cycle; 3.6.3 Sensor Data Requirements
000742105 5058_ $$a3.7 Other Technical Requirements3.7.1 Security/Privacy; 3.7.2 Synchronisation Protocols; 3.7.3 Communication; 3.7.4 Memory; 3.7.5 Power Supply; 3.7.6 Application Specific Integrated Circuits; 3.7.7 Patient's Safety; 3.8 StrokeBack BAN Architecture; 3.8.1 Sensor Node Components; 3.9 StrokeBack Platform GHOSTv1; 3.9.1 GHOSTv1 Baseboard; 3.9.2 Sensor Board; 3.9.3 Bridgeboard; 3.9.4 Power Supply Scheme; 3.9.5 Sensor Housing; 3.9.6 Usage and Performance Characteristics; 3.10 StrokeBack GHOSTv2; 3.10.1 New Features in Comparison to GHOSTv1; 3.10.2 Features and Assembly Parameters
000742105 506__ $$aAccess limited to authorized users.
000742105 588__ $$aOnline resource; title from PDF title page (viewed September 12, 2015)
000742105 650_0 $$aCerebrovascular disease$$xPatients$$xRehabilitation.
000742105 7001_ $$aVogiatzaki, Emmanouela,$$eeditor.
000742105 7001_ $$aKrukowski, Artur,$$eeditor.
000742105 77608 $$iPrint version:$$z3319212923$$z9783319212920$$w(OCoLC)910979813
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000742105 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-21293-7$$zOnline Access$$91397441.1
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