홈으로IssuesSpecial Issues
IssuesSpecial Issues
Human-centric Computing and Information Sciences (HCIS) Korea Information Processing Society-Computer Software Research Group (KIPS-CSWG)(ISSN: 2192-1962)

(IF 5.900) Special issue on

Intelligent Biomedical Data Sensing and Computing over Next Generation Wireless Networks (NGenWN)

In the past decades, the number of deployments for sensor networks has experience a rapid growth drastically. The health monitoring and diagnosis for the target structure of interest are achieved through the interpretation of collected data. The rapid advances in sensor technologies and data acquisition tools have led to the new era of big data, where massive heterogeneous data are collected by different sensors and wearable devices. The sensor technologies have become more demandable in healthcare for development, testing, and trials, to be a part of both hospitals and homes. This special issue will also offer valuable perceptions to researchers and engineers on how to design sensors systems and micro-computers for NGenWN, and how to improve patient’s information delivery care remotely. The sensors generated patient-centric data can be processed through the next generation mobile systems.

The end-to-end clinical data connectivity involves the development of many technologies that should enable reliable and location-agnostic communication between a patient and a healthcare provider. However, the main challenge in sensors is how to manage concerning critical applications, where several connected devices generate a large amount of medical data. This large volume of data, often called big data, cannot readily be processed by traditional data computing algorithms and applications. By intelligently investigating and collecting large amounts of healthcare data, the sensor can enhance the decision-making process and early disease diagnosis. Hence, there is a need for scalable machine learning and intelligent algorithms that lead to more interoperable solutions and that can make effective decisions in emerging sensor technologies. Recent developments in sensor technology, wearable computing, internet of things, and wireless communication networks have given rise to research in ubiquitous healthcare and remote monitoring of human health and activities. The optimization algorithms can be applied because of acquiring the sensor data from multiple sources for fast and accurate health monitoring.
The people and things are connected with anything and anyone, anytime, anyplace, using network/service. We welcome contributions to the intelligent sensor data acquisition and processing topics that support prospective healthcare applications. It also discusses the life cycle of sensor devices and protocols to help energy-aware design, production, and utilization, as well as the internet of things technologies (such as tags, sensors, sensing networks, and internet technologies).


Topics of Interest:


We seek original and high-quality submissions on, but not limited to, one or more of the following topics:

Wireless boy area sensor networks for healthcare

Recent trends in sensor technology, and wearable computing

Sensors for the Internet of things

Healthcare sensor data analytics

Data aggregation and processing over NGenWN

Distributed sensor networks for biomedical engineering

Wireless and wearable sensors for health informatics

Cloud computing and big data technologies for sensor data processing

Complex sensors data handling

Internet of things health for next generation networks

Remote human’s health and activities monitoring

Smart sensors technologies for healthcare

Big medical data analytics

Optimal sensors establishment algorithms

Mobility enhancement of sensors data streams

Advances of data acquisition to data fusion

Nano-sensors for big data informatics

Decision-making systems for sensors data

Artificial intelligence for health informatics

Data mining and fusion algorithms for WBAN

Health sensor data management

Sensor informatics for homecare monitoring

Sensors for VR/AR, mixed reality, data visualization

Design of physical layer for the internet of things

Important Dates

Open submission : 20 Sept. 2021

Submission deadline : 31 December 2021

Author notification : within 4 weeks after submission

Revised manuscript due : within 2 weeks after notification

Notification of acceptance : within 2 weeks after revision submission

Tentative accepted paper publication date : within 2 months after final version

Tentative SI paper collection and its web open: 2nd Quarter, 2022 (TBA)

Submission Guideline

All submitted papers must be clearly written in excellent English and contain only original work. All papers must be submitted in an electronic format, e.g., PDF format (preferred) or MS Word. Manuscripts should follow the formatting of the sample manuscript and references. You can refer to the details in the submission menu http://hcisj.com/submission/preparing_manuscript.php

All papers and some supplementary materials should be submitted through ScholarOne Manuscripts. The authors must select as “SI2021-03 NGenWN”. when they reach the “Article Type” step in the submission process https://mc04.manuscriptcentral.com/hcis

Guest Editors

Chinmay Chakraborty, Birla Institute of Technology, Mesra, India
Email: cchakrabarty@bitmesra.ac.in

Mohammad Khosravi, Persian Gulf University, Iran
Email: mohammadkhosravi@acm.org

Joel J. P. C. Rodrigues, Federal University of Piauí (UFPI), Teresina - Pi, Brazil; Instituto de Telecomunicações, Portugal
Email: joeljr@ieee.org

Celestine Iwendi, University of Bolton, United Kingdom
Email: celestine.iwendi@ieee.org