eScripts is currently undergoing an upgrade and heavy maintenance that may cause instability to the service and unsolicited emails going out to users in the upcoming few days. We apologize for any inconvenience that his may cause you and we appreciate your understanding as we continue to improve your experience.
If you encounter significant issues with eScripts, please let us know at publications@eai.eu.

Pervasive Health and Technology

Editorial Board
Editors in Chief:
  • Natalia Romero (Delft University of Technology)
  • Manik Sharma (DAV University, India)+ BioManik Sharma is an MCA, UGC-NET qualified and has received his Ph.D. degree in “Distributed Query Optimization” from IKG Punjab Technical University, Kapoorthala, India. Dr. Sharma is currently working as an Assistant Professor in the Department of Computer Science and Applications, DAV University Jalandhar, India. Dr. Sharma has 15 years of teaching and research experience. His research interests include Machine Learning, Optimization Techniques, Health Informatics and Smart Systems. The thrust area is to design a smart and innovative artificial intelligence based Clinical Decision Support System for the effective management of major human psychological disorders. Dr. Sharma authored/coauthored over 50 International Journal articles, Conference Proceedings, and Book Chapters. Dr. Sharma is serving as an Associate Editor for IEEE Access, BMC Public Health, and Journal of Medical Imaging and Health Informatics. He is also serving as a reviewer for various international Journals including IEEE, Springer, Elsevier, MDPI, and SAGE publications. Moreover, he served as the member of International Program Committees, Technical Program Committees, and Advisory Committees of several academics conferences (United Kingdom, Singapore, Mauritius, Thailand, Vietnam, USA, Hong Kong, Canada, UAE, and India).
Area Editors:
  • Asimina Kiourti (The Ohio State University)
  • Venet Osmani (CREATE-NET)
  • Tanveer Zia (Charles Sturt University)
  • Honggang Wang (University of Massachusetts Dartmouth)+ BioHonggang Wang is the "Scholar of The Year" (2016, the highest research recognition at UMass Dartmouth). Before he joined UMass Dartmouth in 2009, he has worked for Bell Labs Lucent Technologies China from 2001 to 2004 as a Member of Technical Staff. He received his Ph.D. in Computer Engineering at University of Nebraska-Lincoln in 2009. He is a tenured associate professor at UMass Dartmouth and is an affiliated faculty member of Advanced Telecommunications Engineering Laboratory at University of Nebraska-Lincoln. He is also the faculty member of Biomedical Engineering and Biotechnology Ph.D. program (BMEBT) at UMass Dartmouth. His research interests include Internet of Things, Wireless Health, Body Area Networks (BAN), Cyber and Multimedia Security, Mobile Multimedia and Cloud, Wireless Networks and Cyber-physical System, and BIG DATA in mHealth. He has published more than 150 papers in his research areas. He was an invited participant by National Academic Engineering (NAE) for 2017 German-American Frontiers of Engineering Symposium, as one of about 50 outstanding engineers (ages 30-45) from US companies, universities, and government labs. He has served as the general chair/co-chair and TPC chair/co-chairs for several IEEE/ACM conferences. He also serves as the steering committee co-chair of IEEE CHASE and TPC co-chair of of IEEE CHASE 2016, which is a leading international conference in the field of connected health. He served as the TPC member for IEEE INFOCOM 2013-2015, IEEE ICDCS 2015, IEEE ICDM 2018, ACM Multimedia 2017 and area chair for IEEE ICME 2016 and 2017. He has also been serving as the Associate Editor in Chief (EiC) for IEEE Internet of Things journal (SCI impact factor: 7.596), associate editors for IEEE Transactions on Big Data, IEEE Transactions on Multimedia, an Editor of IEEE Transactions on Vehicular Technology, Associate Editor of IEEE network Magazine. He currently serves as the Vice chair of IEEE eHealth Technical Committee and the Chair of IEEE Comsoc Multimedia Communications Technical committee (IEEE MMTC). He received IEEE Multimedia Communications Technical Committee (MMTC) Outstanding Leadership Award (2015) and IEEE HEALTHCOM 2015 Outstanding Service Award. His research is supported by NSF DoT, UMass President office, and UMass Healey Grant (total over 2M dollars). He is an IEEE distinguished lecturer.
  • Mohammad Mahfuz (University of Wisconsin-Green Bay)
  • Nadeem Javaid (COMSATS Institute of Information & Technology)
  • Kashif Saleem (King Saud University)
  • AtaUllah Ghafoor (National University of Modern Languages, Islamabad, Pakistan.)
  • Razan Hamed (Columbia University)
  • Frank Wallhoff (Jade University of Applied Science, Germany)
  • Melina Frenken (Jade University of Applied Science)
  • Anind Dey (University of Washington)
  • Stefan Wagner (Aarhus University)
  • Jina Huh (University of California, San Diego, USA)
  • Wilko Heuten (OFFIS - Institute for Information Technology)
  • Michael Marschollek (Hannover Medical School)
  • Arijit Ukil (Tata Consultancy Services)
  • Alejandro Dominguez Rodriguez (Alejandro Dominguez Rodriguez, University of Valencia)
  • Mojtaba Taherisadr (University of Michigan)
  • Emilija Stojmenova Duh (University of Ljubljana)
  • Mosabber Uddin Ahmed (University of Dhaka)
  • Ibrar Yaqoob (Kyung Hee University)+ BioIbrar Yaqoob has recently been listed among top 1% researchers by Thomson Reuters (Web of Science) based on the number of citations earned in last three years in six categories of Computer Science. He is currently working as a research professor with the Department of Computer Science and Engineering, Kyung Hee University, South Korea, from where he completed his Postdoctoral fellowship under the prestigious grant of Brain Korea 21st Century Plus. Prior to that, he received his Ph.D. (Computer Sciences) from the University of Malaya (QS Global World Ranking #=87), Malaysia, in 2017. He won BrightSparks scholarship for his Ph.D. studies that is considered prestigious in Malaysia. He received his BS. IT (Hons.) degree from the University of the Punjab, Pakistan. His works have been cited more than 2700 times. His total impact factor is more than 170. He is a former researcher and lead developer at the Centre for Mobile Cloud Computing Research (C4MCCR), University of Malaya. His research has appeared in several prestigious journals, such as IEEE Wireless Communications, IEEE Communications Magazine, Information Systems, Computer Networks, to name a few. His numerous research articles are very famous and among the most downloaded in top journals. One of his journal articles on big data topic is Malaysia’s number one most-cited article. He has reviewed more than 100 articles for the top ISI- Indexed journals and conferences. He has served as a technical program committee member for various international conferences, which were held in Spain, Portugal, United Kingdom, Germany, and China. Dr. Ibrar has served/serving as a guest editor in various Journals. He is also serving as an associate editor, editor, area editor, and a co-chair in IEEE Access Journal, Ad Hoc & Sensor Wireless Networks Journal, EAI Transactions on Pervasive Health and Technology, and IWCMC 2019, respectively. Dr. Ibrar has won numerous awards during his stay at the University of Malaya. His research interests include big data, edge computing, mobile cloud computing, the Internet of Things, and computer networks.
  • Tessa Dekkers (Universiteit Twente)
  • Juan Wang (-Delta Micro Technology Inc)
  • SAIKISHOR JANGITI ()+ BioSaikishor Jangiti is an Assistant Professor and pursuing Ph.D. in School of Computing, SASTRA Deemed University, Thanjavur, India. He received his B.Tech. in CS&IT from Jawaharlal Nehru Technological University, Hyderabad in 2005 and M.Tech. in CSE from Sri Venkateswara University, Tirupati in 2007. His research interests include artificial intelligence, greedy algorithms, multi-agent systems, machine learning, and cloud computing.
  • Zhihan Lv (Qingdao University)+ BioZhihan Lv is currently a Professor of Qingdao University, China. He was Research Associate at University College London (UCL). He has been an assistant professor in Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences since 2012. He received his PhD from Paris7 University and Ocean University of China in 2012. He worked in CNRS (France) as Research Engineer, Umea University/ KTH Royal Institute of Technology (Sweden) as Postdoc Research Fellow, Fundacion FIVAN (Spain) as Experienced Researcher. He was a Marie Curie Fellow in European Union's Seventh Framework Program LANPERCEPT. His research mainly focuses on Network, Internet of Things, Multimedia, Augmented Reality, Virtual Reality, Computer Vision, 3D Visualization & Graphics, Serious Game, HCI, Big data, and GIS. He has contributed 200+ papers in the related fields on journals such as IEEE TII, ACM TOMM, and conference such as ACM MM, ACM CHI, ACM Siggraph, ICCV, IEEE Virtual Reality. He is the guest editors for IEEE Transactions on Industrial Informatics, Future Generation Computer Systems, Neurocomputing, Neural Computing and Applications, Computers & Electrical Engineering, IET Image Processing, Multimedia Tools and Applications, Journal of Intelligent and Fuzzy Systems. He is Program Committee member of ACM IUI 2015 & 2016 & 2019, IEEE BIGDATA4HEALTH Workshop 2016, IEEE/CIC WIN Workshop 2016, IIKI2016, WASA2016, IEEE PDGC2016, and ACM SAC2017-WCN Track. He has also served as a reviewer for journals such as IEEE Transaction on Multimedia, IEEE Multimedia, Neurocomputing, Elsevier Computer Networks, Springer Telecommunication Systems, Multimedia Tools and Applications, KSII Transactions on Internet and Information Systems, Journal of Medical Internet Research, Intelligent Service Robotics, PRESENCE: Tele-operators and Virtual Environments, and conference e.g. ACM MUM 2013, ACM CHI 2014 & 2015, ACM DIS 2014 & 2016, IEEE Info-Vis 2014, ACM UIST 2014& 2016, ACM Mobile-HCI 2014 & 2015& 2016, ACM CHIPLAY 2014 & 2015& 2016, ACM CSCW 2015& 2016, ACM SUI 2014& 2015, ACM ITS 2014 & 2015, IEEE VAST 2014, IEEE VR 2015 & 2016, ACM IUI 2015 & 2016, IEEE 3DUI 2015 & 2016, ACM TVX 2015, IEEE Euro-Vis 2015 & 2016, ACM Creativity & Cognition 2015, ACM EICS 2015, ACM IDC 2015 & 2016, IEEE ICSIPA 2015, GI 2016, IEEE ITSC 2016, IEEE Sensors 2016, ACM ACI 2016, ACM VRST 2016, and ACM ISS 2016. In virtual reality industry, he was software engineer (2006-2010), group leader of WebVR group (2007-2010), CTO of two start-up companies (2008-2010). He was PI or co-I of dozens of China-government funded science and technology projects for start-up company (2007-2011). He is co-I of two China-government funded natural science projects. He has two granted patents. His previous work have contributed to traditional research fields e.g. open source framework UnityMol, as well as some industry projects such as Olympic Games virtual arena, virtual Mount Emei and virtual Leshan Giant Buddha, e-government and e-business for big cities, i.e. Shanghai, Shenzhen. I'm currently member of board of directors of a high-tech company with one-million-euro angel investment.
  • Antonella Carbonaro (University of Bologna)
  • Giorgos Giannakakis (Institute of Computer Science, Foundation for Research and Technology Hellas)
  • Alberto Antonietti (École Polytechnique Fédérale de Lausanne (EPFL))
  • Gonçalo Marques (IPC)+ BioGonçalo Marques holds a PhD in Computer Science Engineering (2020) and has collaborated with several research units such as the Instituto de Telecomunicações at the University of Beira Interior, Unit for Inland Development at Polytechnic Institute of Guarda and eHealth and Telemedicine Group at the University of Valladolid. Furthermore, he is working as a Senior Software Engineer and is member of Ordem dos Engenheiros (the Portuguese Engineering Association). He worked as a Software Engineer in the Innovation and Development unit of Groupe PSA automotive industry from 2016 to 2017 and served in the banking sector of IBM group from 2018 to 2019. His current research interests include Internet of Things, Enhanced Living Environments, e-Health, telemedicine, medical and healthcare systems, indoor air quality monitoring and assessment, noise monitoring, machine learning, and wireless sensor networks.
  • Martoglia Riccardo (Universita' di Modena e Reggio Emilia)
  • Alessandro Ruggiero (University of Salerno)+ BioAlessandro Ruggiero, after attending the PhD course in Tribology at the University of Pisa, From 1999 to 2005, he was Assistant Professor with the Department of Mechanical Engineering, University of Salerno, where he has been an Associate Professor with the Department of Industrial Engineering since 2005 till today. In 2017 he received the National qualification to Full Professor in Applied Mechanics. He authored more than 200 scientific papers on prestigious indexed international journals and national and international proceedings. He serves as Editor, member of the Editorial Board and reviewer for many WoS/SCOPUS indexed international scientific journals and as evaluator of national and international research projects. He cooperates with numerous international Universities and prestigious Research Centers. Actually, he is member of the IFToMM Technical Committee for Tribology and National Coordinator of Italian AIMETA Tribology Group. His current research interests are focused on (bio)tribology, but they include also dynamics of mechanical systems, noise and vibration measurements, mechanical measurement and diagnostic on mechanical systems.
  • Vânia V. Estrela Estrela (Universidade Federal Fluminense (UFF))+ BioB.Sc.by UFRJ in Electrical and Comp. Eng. (ECE); M.Sc. ITA, Brazil; M.Sc. Northwestern University, USA; and Ph.D. in ECE from IIT, IL., USA Taught at: DeVry Univ.; DePaul Univ.; UENF; UEZO; and IPRJ/UERJ. Faculty at UFF, RJ, Brazil. Telecommunications Department. Interests: signal/image/video processing, inverse problems, computational & mathematical modeling, stochastic models, multimedia, electronic instrumentation, machine learning and remote sensing. She has edited several books. Dr. Estrela has a great experience coordinating multidisciplinary R&D groups and organizing conferences. Reviewer for: IMAVIS (Elsevier); Pattern Recognition (Elsevier); COMPELECENG (Elsevier); Measurement (Elsevier); IET Image Processing; EURASIP Journal on Advances in Signal Processing (JASP) (Springer); IEEE Journal of Biomedical and Health Informatics (JBHI); Int’l J. of Electrical and Comp. Engineering (IJECE); Int’l Journal of Ambient Computing and Intelligence (IJACI); Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOE); Sensors (MDPI); Remote Sensing (MDPI); and Applied Sciences (MDPI) among other publications. Engaged in topics such as technology transfer, STEM education, environmental issues, humanitarian engineering, and digital inclusion. Member of IEEE, and ACM. Editor of IJACI, and EURASIP JASP. ORCID 0000-0002-4465-7691
  • Emilio Serrano (Universidad Politécnica de Madrid)
Aims & Scope

EAI Endorsed Transactions on Pervasive Health and Technology is an open access, peer-reviewed scholarly journal focused on personal electronic health assistants, health crowdsourcing, data mining and knowledge management, IT applications to needs of patients, disease prevention and awareness, electronic and mobile health platforms including design and more. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a quarterly frequency. Authors are not charged for article submission and processing.

Knowledge Representation and Reasoning

  • Physiological models for interpreting medical sensor data
  • Sensing/Actuating Technologies and Pervasive Computing
  • Medicine, Nursing, and Allied Health Professions
  • Human-Computer Interaction and Computer Supported Cooperative Work
  • Hardware and Software Infrastructures
  • Activity recognition and fall detection
  • User modelling and personalization
  • Modelling of Pervasive Healthcare environments
  • Sensor-based decision support systems
  • Design and evaluation of patient and ambient-related sensors
  • Wearable and implantable sensor integration
  • Data fusion in pervasive healthcare environments
  • Data mining of medical patient records
  • Software architectures
  • Electronic Health Records

Understanding Users

  • Identifying and addressing stakeholder needs
  • Usability and acceptability
  • Barriers and enablers to adoption
  • Social implications of pervasive health technology, and social inclusion
  • Coverage and delivery of pervasive healthcare services
  • Patient and caregiver empowerment
  • Diversity: population and condition-specific requirements
  • Inclusive research and design: engaging underrepresented populations
  • Digital interventions and health behavior change

Applications

  • Autonomous systems to support independent living
  • Clinical applications, validation and evaluation studies
  • Telemedicine and mHealth solutions
  • Chronic disease and health risk management applications
  • Health/Wellbeing promotion and disease prevention
  • Home based health and wellness measurement and monitoring
  • Continuous vs event-driven monitoring of patients
  • Smart homes and hospitals
  • Using mobile devices in the storage, update, and transmission of patient data
  • Wellbeing and lifestyle support
  • Systems to support individuals with auditory, cognitive, or vision impairments
  • Systems to support caregivers

Pervasive Healthcare Management

  • Challenges surrounding data quality
  • Standards and interoperability in pervasive healthcare
  • Business cases and cost issues
  • Security and privacy issues
  • Training of healthcare professional for pervasive healthcare
  • Legal and regulatory issues
  • Staffing and resource management
Keywords
Pervasive healthcare, Healthcare management, Healthcare technology, Cross-disciplinary studies, Data mining, Crowd-sourcing, Knowledge management, Disease assessment, Patients' needs, Disease prevention, Applications, Public health, Large scale studies, Telemedicine, Independent living, Economic impact, Social challenges, Business cases, Innovation aspects, Societal impact, 713, Internet of Things (IoT) and collaboration