04343nam 2201069z- 450 991055739260332120231214133505.0(CKB)5400000000041972(oapen)https://directory.doabooks.org/handle/20.500.12854/76985(EXLCZ)99540000000004197220202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierHuman Health Engineering Volume IIBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (196 p.)3-0365-2311-1 3-0365-2312-X In this Special Issue on “Human Health Engineering Volume II”, we invited submissions exploring recent contributions to the field of human health engineering, i.e., technology for monitoring the physical or mental health status of individuals in a variety of applications. Contributions could focus on sensors, wearable hardware, algorithms, or integrated monitoring systems. We organized the different papers according to their contributions to the main parts of the monitoring and control engineering scheme applied to human health applications, namely papers focusing on measuring/sensing physiological variables, papers highlighting health-monitoring applications, and examples of control and process management applications for human health. In comparison to biomedical engineering, we envision that the field of human health engineering will also cover applications for healthy humans (e.g., sports, sleep, and stress), and thus not only contribute to the development of technology for curing patients or supporting chronically ill people, but also to more general disease prevention and optimization of human well-being.Technology: general issuesbicsscvibratory stimulation devicelocal muscle vibrationproprioceptorslow back painresponse frequencypostural controlVater-Pacini corpuscleselectroencephalographydeep learningdriving fatiguefeature extractionconvolutional neural networkrehabilitationroboticstechnological devicesupper limb impairmentorganizational modelinkjet printingrespiratory ratestrain gaugestretchable and wearable sensorssilver nanoparticlesclinical evaluationbody postureupper limb rehabilitationserious gameshaptic feedbackelectromyography sensorsvirtual realitysmoothnesswearable sensorsgait analysisstumblingplantar visualizationremote fetal monitormeasurement uncertaintystandard deviationMonte-Carlo method (MMC)efficient estimatorautomated assessmentUE-FMApinch forcepulling forceslip onsetstrokeanorexia nervosaelectrodermal activitytime-domain analysisfrequency-domain analysisnonlinear analysisvirtual reality exposure therapydriving phobiapost-traumatic stress disorderphysiological signalpiezo-fluid-structural coupled simulationAPSvalveless micropumpclosed-loop insulin pumpIndividual verificationElectrocardiogram (ECG)Interval based LDAbiometricsTechnology: general issuesAerts Jean Marieedt1325420Aerts Jean MarieothBOOK9910557392603321Human Health Engineering Volume II3036878UNINA03809nam 22005775 450 991029919500332120200705154239.03-319-24714-X10.1007/978-3-319-24714-4(CKB)3710000000532493(EBL)4199798(SSID)ssj0001597011(PQKBManifestationID)16296953(PQKBTitleCode)TC0001597011(PQKBWorkID)14886441(PQKB)11374342(DE-He213)978-3-319-24714-4(MiAaPQ)EBC4199798(PPN)190881356(EXLCZ)99371000000053249320151209d2015 u| 0engur|n|---|||||txtccrThe 2-tuple Linguistic Model Computing with Words in Decision Making /by Luis Martínez, Rosa M. Rodriguez, Francisco Herrera1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (179 p.)Description based upon print version of record.3-319-24712-3 Includes bibliographical references at the end of each chapters.Linguistic Decision Making and Computing with Words -- 2-tuple Linguistic Model -- Linguistic Approaches Based on the 2-tuple Fuzzy Linguistic Representation Model -- Decision Making in Heterogeneous Context: 2-tuple Linguistic Based Approaches -- Decision Making with Unbalanced Linguistic Information -- Dealing with Hesitant Fuzzy Linguistic Information in Decision Making -- 2-tuple Linguistic Decision Based Applications -- FLINTSTONES: A Fuzzy LINguiSTic decisiON tools Enhancement Suite.This book examines one of the more common and wide-spread methodologies to deal with uncertainty in real-world decision making problems, the computing with words paradigm, and the fuzzy linguistic approach. The 2-tuple linguistic model is the most popular methodology for computing with words (CWW), because it improves the accuracy of the linguistic computations and keeps the interpretability of the results. The authors provide a thorough review of the specialized literature in CWW and highlight the rapid growth and applicability of the 2-tuple linguistic model. They explore the foundations and methodologies for CWW in complex frameworks and extensions. The book introduces the software FLINTSTONES that provides tools for solving linguistic decision problems based on the 2-tuple linguistic model. Professionals and researchers working in the field of classification or fuzzy sets and systems will find The 2-tuple Linguistic Model: Computing with Words in Decision Making a valuable resource. Undergraduate and postdoctoral students studying computer science and statistics will also find this book a useful study guide.Natural language processing (Computer science)Computer logicNatural Language Processing (NLP)https://scigraph.springernature.com/ontologies/product-market-codes/I21040Logics and Meanings of Programshttps://scigraph.springernature.com/ontologies/product-market-codes/I1603XNatural language processing (Computer science)Computer logic.Natural Language Processing (NLP).Logics and Meanings of Programs.004Martínez Luisauthttp://id.loc.gov/vocabulary/relators/aut694943Rodriguez Rosa Mauthttp://id.loc.gov/vocabulary/relators/autHerrera Franciscoauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299195003321The 2-tuple Linguistic Model2520001UNINA