[hpc-announce] [CFP] IEEE International Conference on E-health Networking, Application & Services 18–20 November 2024, Nara, Japan

Zhengxin Yu zhengxinyucynthia at gmail.com
Mon Mar 11 10:42:45 CDT 2024


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IEEE International Conference on E-health Networking, Application & Services


18–20 November 2024, Nara, Japan

https://urldefense.us/v3/__https://healthcom2024.ieee-healthcom.org/__;!!G_uCfscf7eWS!f-HMMJDBaV8vzRkNgQJtEqGLpYNW1KLWrCxWcrfj1xHyfUMcjT0S4zDmOl5c7Br6bnTgqtBoZmPt-aU0NOAl9v21kcKMPAuS6A$ 

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IEEE Healthcom 2024 aims at bringing together interested parties
(universities, research centers, industries and stakeholders) from around
the world working in the healthcare field to exchange opinions, discuss
brand-new ideas, developing innovative and emerging solutions, and
establishing new collaborations.



Healthcare is one of the largest industries with 5-18% of GDPs spent on
health and Care globally. The healthcare budgets of the vast majority of
nations continue to outgrow their GDPs. Social, demographic, economic and
technological factors are the drivers for ever faster changing healthcare
models. While the demographic shifts in the populations display significant
socio-economic challenges they trigger more and more opportunities for
innovators in the areas of sensor technology, the Internet of Things,
Robotics, e-health, m-Health, Cloud Computing and emerging technologies
such as 5G, Big Data, SDNs, NFV, Precision and Personalized Medicine.
However, the integration of innovative technology into society is
associated with a lot of complexities. Social technological alignment and
societal acceptance of technology requires sound solutions with regards to
ethical, legal, social and security challenges.



Authors are cordially invited to submit their original papers within the
eHealth area. The topics include but are not limited to:



l  *Signal/Data Processing and Computing For Health Systems*

AI and machine learning for eHealth

Machine and deep learning approaches for Health Data

Generative AI for eHealth

Fog/Edge/Cloud computing for wearable medical devices

Virtual tele-rehabilitation

Biometric analysis (gait analysis, eye-tracking, falls, mHealth)

Signal processing for virus early detection

Bioinformatics

AI for precision medicine

AI-driven drug discovery and development processes

Federated learning for privacy-preserving health data analysis



l  *Communications and Networking*

Network coding and error detection/correction

Delay-tolerant, fault-tolerant, and reliable communication

Quality of Service (QoS) and Quality of Experience (QoE)

In-hospital networking, body area and cloud-integrated networking

B5G-based eHealth solutions

Future network designs and deterministic networking for eHealth

Semantic communications for eHealth

Network security for eHealth



l  *Medical, Biomedical & Health Communication Systems*

Medical imaging, image compression and detection

Signal processing, data cleansing, management and mining

Smart health and big data

IoT for eHealth and telemedicine

eHealth platforms

Digital platforms for biopharmaceutical clinical trials



l  *Devices*

Integration of medical devices with eHealth platforms

Medical device interoperability

Wearable and implantable devices

Device Security & Safety

Wearable devices against virus infection

eDrugs: nano-devices in blood stream

Healthcare devices and circuits for AI



l  *Service & Applications*

eHealth services/applications for physical and mental health

eHealth services/applications for sports and exercise

eHealth services/applications for public health (disease prevention,
pandemic preparedness)

eHealth services/applications for extreme environments

mHealth applications and software

Quality of experience (QoE) for eHealth services/applications

Security, privacy and trust for e-Health services/applications

Metaverse and digital twin applications for eHealth

Decision support systems for eHealth

Real-time genomic counseling and testing

Telemedicine services that incorporate genetic counseling and testing



l  *Medical Studies*

eHealth case studies & applications

eHealth for neurological diseases

EEG/MEG in brain network analysis

Telehealth in Obstetrician & Gynecology

Cardiology tele-health

Integration of transcranial magnetic stimulation (TMS) with EEG/functional
magnetic resonance imaging (fMRI)



Perspective authors are invited to submit their papers using EDAS. A full
paper should not have more than six (6) IEEE style pages including results,
figures and references. One (1) extra page is allowed with an extra charge
of $85. Papers will be reviewed with the standard reviewing procedure (with
at least 3 independent anonymous reviews). All of the accepted papers will
be published on IEEE Xplore®. Articles selected for publication in journals
must meet the conditions against self-plagiarism.



The submitted manuscripts shall be prepared in LaTeX or Word using the
official IEEE templates. Final submission of the manuscript will be in PDF
format, and make sure that the file will print on a printer that uses
letter size (8.5 x 11) paper. The official language of the meeting is
English.



*Important Dates: *

Paper Submission: 25 May 2024

Notification of Acceptance: 30 August 2024

Final Manuscript (Camera Ready): 30 September 2024



*General Chairs: *

Ruidong Li, Kanazawa University, Japan

Dusit Niyato, Nanyang Technological University, Singapore



*TPC Chairs: *

Payam Barnaghi, Imperial College London, U.K.

Noriaki Kamiyama, Ritsumeikan University, Japan

Danda B. Rawat, Howard University, USA

Peiying Colleen Ruan, NVIDIA, Japan



*Panel Chair: *

Honggang Wang, UMass Dartmouth, USA



*Tutorial Chair:*

Andrea Sciarrone, University of Genoa, Italy



*Workshop Chairs: *

Dapeng Wu, Chongqing University of Posts and Telecommunications, China

Xuyu Wang, Florida International University, USA



*Poster Chairs: *

Chiara Garibotto, University of Genoa, Italy

Guangchi Liu, Southeast University, China



*Publication Chairs: *

Zhicheng Jiao, Brown University, USA



*Financial Chairs: *

Zhe Sun, Juntendo University, Japan



*Publicity Chairs: *

Nada Philip, Kingston University, UK

Yun Lin, Harbin Engineering University, China

Zhengxin Yu, Lancaster University, UK

Junji Takemasa, Osaka University, Japan



*Local Chair: *

Tatsuaki Kimura, Doshisha University, Japan



*Steering Committee Chairs:*

Steering Committee Chair: Shiwen Mao, Auburn University, USA
Steering Committee Vice Chair: Honggang Wang, Yeshiva University, USA


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