Handbook of Large-Scale Distributed Computing in Smart Healthcare

630 Pages·2017·17.61 MB·English

by  Abbas

Scalable Computing and Communications
Samee U. Khan
Albert Y. Zomaya
Assad Abbas
Editors
Handbook of Large-
Scale Distributed
Computing in Smart
Healthcare
Scalable Computing and Communications
Series editor
AlbertY.Zomaya,UniversityofSydney,Darlington,NewSouthWales,Australia
Editorial Board
Jiannong Cao, The Hong Kong Polytechnic University, HongKong
Samee U. Khan, North Dakota State University, USA
Rajiv Ranjan, CSIRO, Australia
Sartaj Sahni, University of Florida, USA
Lizhe Wang, Chinese Academy of Science, China
Paul Watson, University of Newcastle, UK
Scalable computing lies at the core of all complex applications. Topics on
scalability include environments, such as autonomic, cloud, cluster, distributed,
energy-aware, parallel, peer-to-peer, greed, grid and utility computing. These
paradigms are necessary to promote collaboration between entities and resources,
which are necessary and beneficial to complex scientific, industrial, and business
applications.Suchapplicationsincludeweatherforecasting,computationalbiology,
telemedicine,drugsynthesis,vehiculartechnology,designandfabrication,finance,
and simulations.
The Scalable Computingand Communications Book Series combines countless
scalabilitytopicsinareassuchascircuitandcomponentdesign,software,operating
systems,networkingandmobilecomputing,cloudcomputing,computationalgrids,
peer-to-peer systems, and high-performance computing.
Topics of proposals as they apply to scalability include, but are not limited to:
Autonomic computing
Big Data computing
Data center computing
Grid computing
Cloud computing
Green computing and energy-aware computing
Volunteer computing and Peer-to-Peer computing
Multi-core and many-core computing
Parallel, distributed and high-performance simulation
Workflow computing
Unconventional computing paradigms
Pervasive computing, mobile computing and sensor networking
Service computing, Internet computing, Web based computing
Data centric computing and data intensive computing
Cluster computing
Unconventional computation
Scalable wireless communications
Scalability in networking infrastructures
Scalable databases
Scalable cyber infrastructures and e-Science
Smart City computing
More information about this series at http://www.springer.com/series/15044
⋅
Samee U. Khan Albert Y. Zomaya
Assad Abbas
Editors
Handbook of Large-Scale
Distributed Computing
in Smart Healthcare
123
Editors
SameeU.Khan AssadAbbas
Department ofElectrical andComputer Department ofComputer Science
Engineering COMSATS Institute of Information
NorthDakota State University Technology
Fargo, ND Islamabad
USA Pakistan
Albert Y.Zomaya
Schoolof Information Technologies
University of Sydney
Sydney,NSW
Australia
ISSN 2520-8632 ISSN 2364-9496 (electronic)
ScalableComputing andCommunications
ISBN978-3-319-58279-5 ISBN978-3-319-58280-1 (eBook)
DOI 10.1007/978-3-319-58280-1
LibraryofCongressControlNumber:2017941065
©SpringerInternationalPublishingAG2017
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Preface
The demand for deployment of large-scale distributed computing technologies in
healthcare domain has increased due to the enormous growth in healthcare data.
Millions of devices are unceasingly generating healthcare data every day, which
depicts the evolving nature of smart healthcare services. Moreover, numerous
research works emphasizing on patient monitoring, fall detection, activity recog-
nition, and Body Area Networks (BAN) have been carried out in the recent past.
However, it has become evident that integration of traditional healthcare practices
with large-scale distributed computing technologies ensures the efficient provision
of smart health services and is also instrumental to their widespread acceptance.
Currentlythereareseveralbooksthatcoverthetopicsrelatedtopervasivehealth
care andmobile health.However,tothebest ofourknowledgethere isnospecific
book that comprehensively reports the efforts made to integrate pervasive health-
carewiththelarge-scaleanddistributedcomputingapproaches.Thisbookprovides
advancedperspectivesandvisionsforthecutting-edgeresearchinubiquitoushealth
carewithemphasisonlarge-scalecomputingtechniques.Thetopicscoveredinthe
bookmainlyemphasizeonlarge-scalearchitecturesandhigh-performancesolutions
forsmarthealthcare,healthcaremonitoringusinglarge-scalecomputingtechniques,
Internet-of-Things (IoT) and big data analytics for healthcare, Fog Computing,
mobile health, large-scale medical data mining, advanced machine learning meth-
odsforminingmultidimensionalsensordata,smarthomes,andresourceallocation
methods for the BANs.
Thisbookcoversthetopicsrangingfromthetheory,concept,andsystems,tothe
applications of large-scale healthcare systems for ubiquitous healthcare services.
The book contains high quality chapters contributed by internationally renowned
researchers working in domains, such as e-Health, pervasive and context-aware
v
vi Preface
computing,cloud,grid,cluster,andbigdatacomputing.Weareoptimistic thatthe
topicsincludedinthisbookwillprovideamultidisciplinaryresearchplatformtothe
researchers, practitioners, and students from biomedical engineering, health infor-
matics, computer science, and computer engineering.
Fargo, USA Samee U. Khan
Sydney, Australia Albert Y. Zomaya
Islamabad, Pakistan Assad Abbas
About the Book
1. Thisbookincludesthelatestresearcheffortsinthefieldofsmarthealthcare.To
maximize the readers’ insight into the domain, integration of smart healthcare
services with large-scale distributed computing systems has been emphasized.
2. Particularconsiderationhasbeendevotedtothetheoreticalandpracticalaspects
of wide array of emerging large-scale healthcare applications and architectures,
including the remote health monitoring, wearable devices, activity recognition
for rehabilitation, mobile health, and cloud computing.
3. The book explains the concept of healthcare big data in great details and
includes several chapters focusing on data quality in large-scale healthcare
datasets.
4. The book includes several case studies which will provide readers a real per-
spective of the smart healthcare domain.
5. Thebookwillbeanexceptionalresource fordiversetypesofreaders including
academics and researchers from several disciplines, such as health informatics,
computer science, and computer engineering.
Keywords:Pervasivehealth,Cloudcomputing,Distributedsystems,Falldetection,
Activity recognition, Home health monitoring, Body area networks, Wearable
sensors, Dimension reduction, Scalability, Sensor data management, Internet-
of-Things, Mobile health (m-health), Data quality.
vii
Contents
Introduction to Large-Scale Distributed Computing
in Smart Healthcare .... .... ..... .... .... .... .... .... ..... .... 1
Assad Abbas, Samee U. Khan and Albert Y. Zomaya
Part I High Performance Computing and Large-Scale Healthcare
Architectures
Big Healthcare Data Analytics: Challenges and Applications ..... .... 11
Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang,
Kaiping Zheng, Gang Chen, Beng Chin Ooi and Wei Luen James Yip
Process Streaming Healthcare Data with Adaptive MapReduce
Framework ... .... .... .... ..... .... .... .... .... .... ..... .... 43
Fan Zhang, Junwei Cao, Samee U. Khan, Keqin Li and Kai Hwang
High-Performance Monte Carlo Simulations for Photon Migration
and Applications in Optical Brain Functional Imaging . .... ..... .... 67
Fanny Nina-Paravecino, Leiming Yu, Qianqian Fang and David Kaeli
Building Automation and Control Systems for Healthcare
in Smart Homes ... .... .... ..... .... .... .... .... .... ..... .... 87
M. Frenken, J. Flessner and J. Hurka
Part II Data Quality and Large-Scale Machine Learning
Models for Smart Healthcare
Electronic Health Records: Benefits and Challenges
for Data Quality ... .... .... ..... .... .... .... .... .... ..... .... 123
Abdul Kader Saiod, Darelle van Greunen and Alida Veldsman
Large Scale Medical Data Mining for Accurate Diagnosis:
A Blueprint ... .... .... .... ..... .... .... .... .... .... ..... .... 157
Md. Sarwar Kamal, Nilanjan Dey and Amira S. Ashour
ix
x Contents
Machine Learning Models for Multidimensional Clinical Data.... .... 177
Christina Orphanidou and David Wong
Data Quality in Mobile Sensing Datasets for Pervasive Healthcare ........ 217
Netzahualcóyotl Hernández, Luis A. Castro, Jesús Favela, Layla Michán
and Bert Arnrich
Part III Internet-of-Things, Fog Computing, and m-Health
Internet of Things Based E-health Systems: Ideas, Expectations
and Concerns . .... .... .... ..... .... .... .... .... .... ..... .... 241
Mirjana Maksimović and Vladimir Vujović
Fog Computing in Medical Internet-of-Things: Architecture,
Implementation, and Applications.. .... .... .... .... .... ..... .... 281
Harishchandra Dubey, Admir Monteiro, Nicholas Constant,
Mohammadreza Abtahi, Debanjan Borthakur, Leslie Mahler,
Yan Sun, Qing Yang, Umer Akbar and Kunal Mankodiya
Technologies and Practices: Mobile Healthcare Based on Medical
Image Cloud and Big Data (in China)... .... .... .... .... ..... .... 323
Jianzhong Hu, Weihong Huang and Yedong Huang
Large-Scale Innovations and Approaches for Community Healthcare
Support in Developing Nations..... .... .... .... .... .... ..... .... 359
Shah Jahan Miah
Part IV Wearable Computing for Smart Healthcare
Wearable Computers for Sign Language Recognition .. .... ..... .... 379
Jian Wu and Roozbeh Jafari
Real-Time, Personalized Anomaly Detection in Streaming Data
for Wearable Healthcare Devices... .... .... .... .... .... ..... .... 403
Bharadwaj Veeravalli, Chacko John Deepu and DuyHoa Ngo
Activity Recognition Based on Pattern Recognition of Myoelectric
Signals for Rehabilitation.... ..... .... .... .... .... .... ..... .... 427
OluwarotimiWilliamsSamuel,PengFang,ShixiongChen,YanjuanGeng
and Guanglin Li
Infrequent Non-speech Gestural Activity Recognition Using Smart
Jewelry: Challenges and Opportunities for Large-Scale Adaptation........ 443
Mohammad Arif Ul Alam, Nirmalya Roy, Aryya Gangopadhyay
and Elizabeth Galik
Smartphone Based Real-Time Health Monitoring and Intervention........ 473
Daniel Aranki, Gregorij Kurillo and Ruzena Bajcsy