[CFP] IEEE International Conference on E-health Networking, Application & Services, 18–20 November 2024, Nara, Japan
Zhengxin Yu
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IEEE International Conference on E-health Networking, Application & Services
18–20 November 2024, Nara, Japan
https://healthcom2024.ieee-healthcom.org/
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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