LEADER 13573nam 22009135 450 001 996466221703316 005 20200629160527.0 010 $a3-319-26508-3 024 7 $a10.1007/978-3-319-26508-7 035 $a(CKB)4340000000001210 035 $a(SSID)ssj0001599526 035 $a(PQKBManifestationID)16306088 035 $a(PQKBTitleCode)TC0001599526 035 $a(PQKBWorkID)14892297 035 $a(PQKB)10802310 035 $a(DE-He213)978-3-319-26508-7 035 $a(MiAaPQ)EBC5587486 035 $a(MiAaPQ)EBC6306939 035 $a(Au-PeEL)EBL5587486 035 $a(OCoLC)933619892 035 $a(Au-PeEL)EBL6306939 035 $a(PPN)190884622 035 $a(EXLCZ)994340000000001210 100 $a20151223d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAmbient Intelligence for Health$b[electronic resource] $eFirst International Conference, AmIHEALTH 2015, Puerto Varas, Chile, December 1-4, 2015, Proceedings /$fedited by José Bravo, Ramón Hervás, Vladimir Villarreal 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XIV, 304 p. 105 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v9456 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-26507-5 327 $aIntro -- Preface -- Organization -- Contents -- Technologies for Implementing AmIHealth Environments -- Real-Time Recognition of Arm Motion Using Artificial Neural Network Multi-perceptron with Arduino One MicroController and EKG/EMG Shield Sensor -- Abstract -- 1 Introduction -- 2 State of the Art -- 3 Model -- 3.1 EMG Signals -- 3.2 Electrodes -- 3.3 Hardware -- 4 Methodology -- 4.1 Protocol Decoding -- 4.2 Filtering -- 4.3 Full-Wave Rectification -- 4.4 Calibration Mode to Determine the Triggering Threshold -- 4.5 Detection of the Start of Activation -- 4.6 Generation of the Datasets with Training Patterns -- 4.7 Creation of the ANN -- 5 Test and Results -- 5.1 Network Training and the Matrix Creation for the Synaptic Weights -- 5.2 Tests in Real Time -- 6 Conclusion -- References -- Fully-Wireless Sensor Insole as Non-invasive Tool for Collecting Gait Data and Analyzing Fall Risk -- Abstract -- 1 Introduction -- 2 Solutions for Motion Detection and Gait Analysis -- 3 System Description -- 4 Wireless Insoles -- 5 Gait Analysis Tools -- 6 Validation and Results -- 7 Conclusion -- Acknowledgements -- References -- A Mobile Cloud Shared Workspace to Support Homecare for Respiratory Diseases in Chile -- Abstract -- 1 Introduction -- 2 Mobilizing Healthcare Services -- 3 The Proposed Mobile Cloud Shared Workspace -- 3.1 Cloud-Based Backend Services -- 3.2 Mobile and Web Monitoring Applications -- 3.3 Sensor Platform and Embedded Applications -- 3.4 Preliminary Results -- 4 Conclusions and Further Work -- Acknowledgements -- References -- Extracting Information from Electronic Medical Records to Identify Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Annotation -- 2.4 Feature Extraction and Selection for Classification. 327 $a2.5 Feature Representation -- 2.6 Classification and Evaluation -- 3 Results -- 4 Discussion and Conclusion -- Acknowledgment -- References -- Daily Activity Monitoring for Prevention of Pressure Ulcers in Long-Term Wheelchair Users -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Instrumentation -- 2.2 PRT Detection Algorithm -- 2.3 Activity Level Estimation -- 2.4 Pilot Study -- 3 Results -- 4 Discussion -- Acknowledgment -- References -- Frameworks Related with AmIHealth Environments -- ReApp -- A Mobile App for the Rehabilitation of Ankle Sprains -- Abstract -- 1 Introduction -- 2 Methods and Implementation -- 2.1 ReApp Implementation -- 3 Evaluation and Results -- 3.1 Technical Evaluation -- 3.2 Clinical Evaluation -- 3.3 End-User Evaluation -- 4 Conclusion -- Acknowledgements -- References -- A Sensorized and Health Aspect-Based Framework to Improve the Continuous Monitoring on Diseases Using Smartphones and Smart Devices -- 1 Introduction -- 2 Clinical Variables and Disease Monitoring -- 3 Sensorized and Health Aspect-Based Framework -- 3.1 Definition of Health Aspects -- 3.2 Sensorization and Smart Devices -- 3.3 Monitoring Behavior and Objectives -- 4 Study Cases from the General Framework -- 5 Conclusions and Future Work -- References -- Applied Algorithms in e-Health Systems -- Real-Time Decision Support Using Data Mining to Predict Blood Pressure Critical Events in Intensive Medicine Patients -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Blood Pressure -- 2.2 Intensive Care Units -- 2.3 INTCare -- 2.4 Critical Events -- 3 Methodologies, Materials and Methods -- 4 Real-Time Decision Support -- 4.1 Business Understanding -- 4.2 Data Understanding -- 4.3 Data Preparation -- 4.4 Modelling -- 4.5 Evaluation -- 5 Discussion -- 6 Conclusions and Future Work -- Acknowledgments -- References. 327 $aA Real-Time Intelligent System for Tracking Patient Condition -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Ambient Intelligence, Intensive Care and Critic Events -- 2.2 INTCare -- 3 Tracking System -- 3.1 Acquisition Process and Data Selection -- 3.2 Data Processing -- 3.3 Clinical Benefits -- 4 Conclusion and Future Work -- Acknowledgments -- References -- Detecting State Anxiety When Caring for People with Dementia -- 1 Introduction -- 2 Extending the Framework of Ambient-Assisted Interventions Systems (AaIS) for Dementia -- 3 An Experiment to Induce Anxiety on Informal Caregivers -- 3.1 Subjects -- 3.2 Training -- 3.3 Therapy Tasks -- 3.4 Setup -- 3.5 Data Gathering -- 4 Data Analysis and Initial Results -- 4.1 GSR Pre-processing -- 4.2 HR and IBI Pre-processing -- 4.3 Video Processing -- 4.4 Data Segmentation -- 4.5 Initial Results -- 5 Limitations -- 6 Conclusions -- References -- Mass Segmentation in Digital Mammograms -- Abstract -- 1 Introduction -- 2 Process for Mammographic Mass Detection -- 3 Experimental Results and Discussion -- 3.1 Detection Results -- 4 Conclusions -- References -- Comparison of a Vision-Based System and a Wearable Inertial-Based System for a Quantitative Analysis and Calculation of Spatio-Temporal Parameters -- 1 Introduction -- 2 Related Work -- 3 Depth Camera System -- 4 Wearable Inertial System -- 5 Experimental Protocol -- 6 Discussion -- References -- Interactions within the AmIHealth Environments -- Arm Muscular Effort Estimation from Images Using Computer Vision and Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Capture and Segmentation (A) -- 3.2 Feature Extraction (B) -- 3.3 Inclusion of Anthropometric Data (C) -- 3.4 Feature Vector Normalization (D) -- 3.5 Estimation of Muscular Effort by Machine Learning (E) -- 4 Experimental Setup -- 4.1 Capture of Raw Image Data. 327 $a4.2 Datasets Generation -- 4.3 Performance Measures -- 5 Experimental Results -- 6 Discussions -- 7 Conclusions and Future Work -- References -- Ubiquitous and Ambient Assisted Living eHealth Platforms for the Republic of Panama: Two Cases of Study -- Abstract -- 1 Introduction -- 2 Ubiquity -- 3 Origin of Palliative Care -- 4 Palliative Care in Panama -- 5 Downs Syndrome -- 6 Ubiquitous eHealth Platforms Design, Development and Implementation -- 6.1 Ubiquitous Paleative Health Care Platform -- 6.2 Ubiquitous Platform for Down's Syndrome Risk Estimation Process -- 7 Conclusions -- Acknowledgments -- References -- Making the Physical Therapy Entertaining -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Wearable Technology Applications in Healthcare -- 2.2 Related Work -- 3 Design and Development -- 3.1 The Wearable Device -- 3.2 App Design -- 4 Conclusions and Future Work -- Acknowledgments -- References -- Vision Based Extraction of Dynamic Gait Features Focused on Feet Movement Using RGB Camera -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Gait Specification -- 4 Heel Strike and Toe off Extraction Algorithm -- 4.1 Feature Extraction -- 5 Experimentation -- 6 Conclusion -- Acknowledgement -- References -- Reflections from a Long-term Deployment Study to Design Novel Interactive Surfaces for Children with Autism -- Abstract -- 1 Introduction -- 2 Related Work -- 3 SensoryPaint: Long-term Use of an Interactive Surface as a Multisensory Therapy for Children with Autism -- 3.1 Deployment Study Methods -- 3.2 Results: Design Implications for Sensorimotor Interactive Surface -- 4 Designing and Developing Sensorimotor Interactive Surfaces -- 4.1 SpaceHunters: An Eye-Foot Coordination Interactive Floor -- 4.2 BendableSound: A Fabric-Based Interactive Music Surface -- 5 Conclusion and Future Work -- References. 327 $aLow Complexity Neural Networks to Classify EEG Signals Associated to Emotional Stimuli -- 1 Introduction -- 2 Experimental Characterization -- 2.1 Data Sources -- 2.2 Emotions -- 2.3 Emotion Model -- 3 Signal Conditioning -- 3.1 Bounded Regions and Brain Rhythms -- 4 Feature Extraction -- 4.1 Features Selection -- 4.2 Normalization -- 5 Recognition Process -- 5.1 Experimental Setup -- 6 Results -- 7 Conclusions -- References -- EmoBall: A Study on a Tangible Interface to Self-report Emotional Information Considering Digital Competences -- 1 Introduction -- 2 Related Work -- 2.1 Digital Skills -- 2.2 Interfaces for Emotions -- 3 Design of EmoBall -- 3.1 System Description -- 4 Methodology -- 4.1 Participants -- 4.2 Assessment Tools -- 4.3 Experiment -- 5 Results -- 5.1 System Usability Results -- 5.2 Analysis of Focus Groups -- 5.3 Usability Evaluation Concerning to Digital Competences -- 5.4 Design Insights -- 6 Conclusions and Future Work -- References -- Can Videogames Improve Executive Functioning? A Research Based on Computational Neurosciences -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Conducted Experiment -- 3.1 Population -- 3.2 Method -- 3.3 Materials -- 3.4 Results -- 3.4.1 Observational Analysis of Data -- 3.4.2 Quantitative Analysis of Data -- 4 Discussion and Future Work -- 5 Conclusions -- Acknowledgments -- References -- Arousal Level Classification in the Ageing Adult by Measuring Electrodermal Skin Conductivity -- 1 Introduction -- 2 Electrodermal Activity -- 2.1 Wearable Acquisition Device -- 3 Methodology -- 3.1 Experimental Design -- 3.2 Study Population -- 3.3 Finding Boundary Points on EDA -- 3.4 Feature Extraction -- 4 Results and Conclusions -- References -- Stress Modelling Using Transfer Learning in Presence of Scarce Data -- 1 Introduction -- 2 Related Work -- 3 Data Acquisition -- 3.1 Self-reports. 327 $a3.2 Objective Data Acquisition and Features Extraction. 330 $aThis book constitutes the refereed conference proceedings of the First International Conference on Ambient Intelligence for Health, AmIHEALTH 2015, held in Puerto Varas, Chile, in December 2015. The 20 revised full papers and 9 short papers were reviewed and selected from 32 submissions and cover topics on technologies for implementing AmIHealth environments; frameworks related with AmIHealth environments; applied algorithms in e-Health systems; interactions within the AmIHealth environments; applications and case studies of AmIHealth environments; and metrics for health environments. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v9456 606 $aApplication software 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aComputer communication systems 606 $aPattern recognition 606 $aHealth informatics 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 615 0$aApplication software. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval. 615 0$aComputer communication systems. 615 0$aPattern recognition. 615 0$aHealth informatics. 615 14$aInformation Systems Applications (incl. Internet). 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aComputer Communication Networks. 615 24$aPattern Recognition. 615 24$aHealth Informatics. 676 $a005.7 702 $aBravo$b José$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHervás$b Ramón$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVillarreal$b Vladimir$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466221703316 996 $aAmbient Intelligence for Health$91902323 997 $aUNISA LEADER 05540nam 2200757Ia 450 001 9910962117703321 005 20200520144314.0 010 $a9786612059391 010 $a9781282059399 010 $a1282059394 010 $a9781846428852 010 $a1846428858 035 $a(CKB)1000000000702696 035 $a(EBL)412850 035 $a(OCoLC)406528500 035 $a(SSID)ssj0000163001 035 $a(PQKBManifestationID)11154934 035 $a(PQKBTitleCode)TC0000163001 035 $a(PQKBWorkID)10107244 035 $a(PQKB)11129053 035 $a(MiAaPQ)EBC412850 035 $a(Au-PeEL)EBL412850 035 $a(CaPaEBR)ebr10273803 035 $a(CaONFJC)MIL205939 035 $a(Perlego)951621 035 $a(EXLCZ)991000000000702696 100 $a20080509d2009 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGirls growing up on the autism spectrum $ewhat parents and professionals should know about the pre-teen and teenage years /$fShana Nichols, with Gina Marie Moravcik and Samara Pulver Tetenbaum ; foreword by Liane Holliday Willey 205 $a1st ed. 210 $aLondon ;$aPhiladelphia $cJessica Kingsley Publishers$d2009 215 $a1 online resource (353 p.) 300 $aDescription based upon print version of record. 311 08$a9781843108559 311 08$a1843108550 320 $aIncludes bibliographical references (p. 333-342) and indexes. 327 $aFRONT COVER; GIRLS GROWING UPON THE AUTISM SPECTRUM: What Parents and Professionals Should Know About the Pre-Teen and Teenage Years; Contents; ACKNOWLEDGEMENTS; FOREWORD; AUTHORS' NOTES; Chapter 1 What Do We Currently Know about Girls and Women with Autism Spectrum Disorders?; Asking the question...; Epidemiology and the puzzle of diagnostic rates; Same disorder, different faces?Sex differences in symptom presentation; Diagnostic implications of sex differences; Interventions and supports; What causes sex differences in ASDs?; Sex differences in other developmental disorders 327 $aThe importance of understanding typical developmental sex differences Clinical programs: are they out there?; A window of knowledge: personal stories by women with ASDs; Routes to a diagnosis for females and their families; I'm still not sure what her diagnosis is...; Resources; Chapter 2 Approaching Adolescence: Anticipation, Anxiety,Adaptation, and...Acceptance?; Adolescence: the wild ride; Developmental tasks; Adolescence Autism = A2?; Specific challenges of adolescence; Sexuality and masturbation; Your "teaching toolkit:" guidelines and techniques; Lessons from Nemo; Resources 327 $aChapter 3 Puberty or "Do My Parents Know You're Here?"Are you ready?; ASDs and adjusting to puberty; Foundational skills; Navigating pubertal change; Managing the locker room; Hormones and emotions; Resources; Chapter 4 The Red Spot: Periods, Pads, and Pelvic Exams; Goal 1: Finding your positive tone; Goal 2: Providing accurate information; Goal 3: Practicing skills ahead of time; Goal 4: Preparing for the first period; Successful management of menstrual hygiene; The great debate: pads, tampons, or both?; The gynecological exam; Aiming for independence; Resources 327 $aChapter 5 Feeling Good Inside and Out: Self-perception and Self-confidence Your daughter's external sense of self; Body image and physical appearance; Issues with eating: from complications to disorders; Weight management; Fitness and exercise; Building a healthy self-image; First bras and beyond: the world of intimate wear; Fun with fashion and personal style; Your daughter's internal sense of self; Creating success experiences; Developing independence, self-reliance,and responsibility; Promoting self-knowledge and self-awareness("Who am I?"); Developing and expanding your daughter's interests 327 $aSelf-regulation and emotional understanding Fostering mental health; "The talk": teaching your daughter about her ASD; What having an ASD means to your daughter; Parent modeling of self-esteem; Resources; Chapter 6 The Social Landscape of Adolescence:Friendships and Social Status; The age of friendships; Understanding friendships and developing friendship skills; Stages of friendship; Popularity and social status; Specific challenges for girls with ASDs; Finding your daughter's social compass; Resources; Chapter 7 Healthy Sexuality for Girls with ASDs 327 $aDefining sexuality: finding a common meaning 330 $aThis book covers the concerns faced by girls with ASDs and their parents, from periods and puberty to friendships and ""fitting in"". 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