Table Of ContentStudies in Fuzziness and Soft Computing
Gonçalo Marques
Akash Kumar Bhoi
Isabel de la Torre Díez
Begonya Garcia-Zapirain Editors
Enhanced
Telemedicine
and e-Health
Advanced IoT Enabled Soft Computing
Framework
Studies in Fuzziness and Soft Computing
Volume 410
SeriesEditor
JanuszKacprzyk,SystemsResearchInstitute,PolishAcademyofSciences,
Warsaw,Poland
The series “Studies in Fuzziness and Soft Computing” contains publications on
various topics in the area of soft computing, which include fuzzy sets, rough sets,
neural networks, evolutionary computation, probabilistic and evidential reasoning,
multi-valuedlogic,andrelatedfields.Thepublicationswithin“StudiesinFuzziness
and Soft Computing” are primarily monographs and edited volumes. They cover
significant recent developments in the field, both of a foundational and applicable
character. An important feature of the series is its short publication time and
world-wide distribution. This permits a rapid and broad dissemination of research
results.
IndexedbySCOPUS,DBLP,WTIFrankfurteG,zbMATH,SCImago.
AllbookspublishedintheseriesaresubmittedforconsiderationinWebofScience.
Moreinformationaboutthisseriesathttp://www.springer.com/series/2941
· ·
Gonçalo Marques Akash Kumar Bhoi
·
Isabel de la Torre Díez Begonya Garcia-Zapirain
Editors
Enhanced Telemedicine
and e-Health
Advanced IoT Enabled Soft Computing
Framework
Editors
GonçaloMarques AkashKumarBhoi
PolytechnicofCoimbra DepartmentofElectricalandElectronics
ESTGOH Engineering
RuaGeneralSantosCosta SikkimManipalInstituteofTechnology
OliveiradoHospital,Coimbra,Portugal Majhitar,Sikkim,India
IsabeldelaTorreDíez BegonyaGarcia-Zapirain
UniversityofValladolid UniversidaddeDeusto
Valladolid,Spain Bilbao,Vizcaya,Spain
ISSN1434-9922 ISSN1860-0808 (electronic)
StudiesinFuzzinessandSoftComputing
ISBN978-3-030-70110-9 ISBN978-3-030-70111-6 (eBook)
https://doi.org/10.1007/978-3-030-70111-6
©TheEditor(s)(ifapplicable)andTheAuthor(s),underexclusivelicensetoSpringerNature
SwitzerlandAG2021
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Preface
In recent years, several new applications on soft computing, artificial intelligence,
Internet of Things and related computer-aided technologies for telemedicine have
emerged.Therefore,itisessentialtocapturethisgrowingareaofresearch,consid-
ering the requirements of enhanced telemedicine solutions regarding the current
pandemicscenario.Thisbookaimstosynthesiserecentdevelopments,presentcase
studiesanddiscussnovelmethodsforenhancedtelemedicineande-health.
Numerous methods for enhanced data analysis are available in the literature.
Furthermore,theuseofthesemethodsinthetelemedicinefieldisofutmostimpor-
tance for public health. In particular, the Internet of Things systems can provide a
continuousflowofdataretrievedfromcost-effectivesensorsandbeusedinmultiple
healthcareapplications.However,totransformthisdataintoknowledge,itisneces-
sarytoapplycomputer-aidedmethods.Theapplicationofthesemethodswillsignif-
icantly promote people’s daily routine. Therefore, it is imperative to merge the
recenttechnologicaladvancesonsoftcomputing,artificialintelligenceandInternet
of Things to develop emergent applications that aim to solve complex challenges
andcontributetooverallpublichealthandwell-being.
The book presents the latest findings on how computer-aided technologies are
being applied in telemedicine and e-health. The chapters of this book involve
multipledomainssuchasartificialintelligenceandsoftcomputingtotransformthe
datacollectedbyintelligentsystemstorelevantandreliableinformationtosupport
medicaldecision-making.
This volume is structured into three parts based on the critical areas of the
application of telemedicine. The first part presents five chapters that focus on
intelligent systems for enhanced telemedicine. The opportunities and limitations
of telemedicine are analysed. The second part includes six chapters regarding the
prominenceofInternetofThings-basedsystemsformedicaldecision-making.The
third part contains reviews and case studies on the use of soft computing and arti-
ficialintelligenceforenhancedhealth.Thissectionincludesfivechapterscovering
machinelearningforhealthriskprediction,emotionrecognition,diseasediagnosis
andprediction.
Thecriticalproblemthatthisbookaddressisthatitpresentsasynthesisofthelatest
methodsandtechnologiesforenhancedtelemedicine.Furthermore,thebookcontains
v
vi Preface
comprehensive review chapters describing procedures and techniques, which are
crucialtosupportresearchersinthefieldwhowanttoreplicatethesemethodologies
in solving their related research problems. On the one hand, the review chapters
includedsynthesisethelatestknowledgeinthedifferentsub-areasinthisfieldand
serveasaguideforresearcherswhoneednewtopicstoworkonandwhowantto
identifyknowledgegaps.Ontheotherhand,theincludedcasestudiespresentnovel
approachesontheapplicationofcomputer-aidedmethodsforenhancedtelemedicine
ande-health.
Theincludedchaptersaimtoprovideanessentialbackgroundtosupportfuture
research initiatives. The editors also have attempted to discuss the current trends
and limitations related to the book’s scope. In total, 16 chapters are included in
thisbook.Thechaptershavebeensubmittedbyresearcherslocatedin16different
countries across the globe. These countries include Australia, Brazil, Colombia,
Finland, Germany, India, Iraq, Malaysia, Nigeria, Portugal, Saudi Arabia, South
Africa,Spain,Sweden,TurkeyandVietnam.
Wewouldliketothankallthecontributorsfortheirtimelyandpositiveresponse
tothereceived review comments. Moreover, weacknowledge theindividuals who
havehelpedusinthisprojectinmultipleactivities.Finally,wearelikewisegratefulto
SpringerPublishingTeam,inthepersonofDr.ThomasDitzinger,fortheircontinuous
support and assistance since the beginning stage to the production of this edited
volume.
Theeditorshaveattemptedtotransmittothereaderthemostrecentadvancesand
comprehensivereviewsonsoftcomputing,artificialintelligence,InternetofThings
and related computer-aided technologies for telemedicine. Consequently, we hope
tohelpfutureresearchactivitiesintelemedicineande-health.Thecontenthasbeen
selectedtosupportnotonlyinpeoplefromacademicsorengineeringworldbutalso
tobeusedbyhealthcareprofessionals.
Coimbra,Portugal GonçaloMarques
Majhitar,India AkashKumarBhoi
Valladolid,Spain IsabeldelaTorreDíez
Bilbao,Spain BegonyaGarcia-Zapirain
Contents
IntelligentSystemsforEnhancedTelemedicine
ResearchChallengesandOpportunitiesTowardsaHolisticView
ofTelemedicineSystems:ASystematicReview ....................... 3
TurkiAlelyani,AsadullahShaikh,AdelA.Sulaiman,YousefAsiri,
HaniAlshahrani,andSultanAlmakdi
Telemedicine in the Current New Normal: Opportunities
andBarriers ...................................................... 27
MustafaDegerliandSevgiOzkan-Yildirim
Teledentistry:ANewApproachinDentalMedicine ................... 41
AlbaPérezGonzález, MercedesGallasTorreira,
CintiaM.ChamorroPetronacci,andMarioPérezSayáns
Smart Management of Telemedicine Rooms in an e-Hospital
EmergencyDepartment ............................................ 65
CamiloA.Cáceres-Flórez,JoãoM.Rosário,andDarioAmaya
AnIoTCloudModelforDiabetes Home-Based Care: ACase
StudyforPerceivedFutureFeasibility ............................... 99
YanHu,GuohuaBai,SaraEriksén,andJennyLundberg
InternetofThingsforMedicalDecisionMaking
IoT for Enhanced Decision-Making in Medical Information
Systems:ASystematicReview ...................................... 119
PanteaKeikhosrokiani
FromtheInternetofThingstoanInternetofServicesinHealthcare ... 141
KurtJ.G.SchmailzlandMichaelHuebner
Machine Learning and Internet of Things for Smart Living:
AComprehensiveReviewandAnalysis .............................. 155
M.S.RashmiBandara,MalkaN.Halgamuge,andGonçaloMarques
vii
viii Contents
AutomatedDecentralizedIoTBasedBlockchainUsingEthereum
SmartContractforHealthcare ..................................... 179
IstabraqM.Al-JobouryandEmadH.Al-Hemiary
MIoT-Based Big Data Analytics Architecture, Opportunities
andChallengesforEnhancedTelemedicineSystems .................. 199
JosephBamideleAwotunde, AbidemiEmmanuelAdeniyi,
RoselineOluwaseunOgundokun, GbemisolaJanetAjamu,
andPaulOlujideAdebayo
AComprehensiveReviewontheChallengesforIntelligentSystems
RelatedwithInternetofThingsforMedicalDecision ................. 221
AnalúciaSchiaffinoMorales, FabríciodeOliveiraOurique,
andSilvioCésarCazella
SoftComputingandArtificialIntelligenceforEnhancedHealth
ArtificialIntelligenceandMachineLearningforHealthRisks
Prediction ........................................................ 243
LukeOluwaseyeJoel,WesleyDoorsamy,andBabuSenaPaul
Multimodal Deep Learning for Computer-Aided Detection
andDiagnosisofCancer:TheoryandApplications ................... 267
AlanBaronioMenegottoandSilvioCesarCazella
DiseasePredictionUsingArtificialIntelligence:ACaseStudy
onEpilepticSeizurePrediction ..................................... 289
AbdulhamitSubasi
A Novel Wrapper-Based Feature Selection for Heart Failure
Prediction Using an Adaptive Particle Swarm Grey Wolf
Optimization ...................................................... 315
TuanMinhLe,TanNhatPham,andSonVuTruongDao
Affective Computing and Emotion-Sensing Technology
forEmotionRecognitioninMoodDisorders ......................... 337
NidhiSinha
Intelligent Systems for Enhanced
Telemedicine
