Adaptive Healthcare through Wearable Computing

Guest Editors

Gwanggil Jeon (Lead Guest Editor), Incheon National University, Korea, gjeon@inu.ac.krValerio Bellandi, Università degli Studi di Milano, Italy, valerio.bellandi@unimi.itAbdellah Chehri, Université du Québec à Chicoutimi, Canada, achehri@uqac.caErnesto Damiani, Khalifa University, UAE, ernesto.damiani@ku.ac.ae

Wearable computing – body-borne computational and sensory devices – include those with specific feature sets (such as heart rate monitors and pedometers) to those with a variety of advanced smart functions and features.

There remain many research challenges in wearable computing – robustness, reliability, walkability, and manufacturing of sensors and materials – along with those of data aggregation and transmission, signal processing and energy harvesting.

New applications are driving innovation – blending wearable computing with the internet of things, distributed computing, mobile internet, big data processing – offers new challenges and possibilities.

Against this background, advances in telecommunications, microelectronics, sensor manufacturing, and data analysis techniques have opened up new possibilities for using wearable technology in digital health.

Aiming to improve health outcomes, wearable technology products use multiple digital health sensors that are typically integrated into sensor networks comprising other body-worn sensors and ambient sensors.

Some monitoring systems require the data to be uploaded to a remote site such as a hospital server for further clinical analysis. With the advent of cloud computing, many wearable sensor systems can now be easily upgraded without the need for user installation of software in their monitoring devices, which makes it easier and cheaper to maintain health monitoring system networks.

Themes

This issue looks at recent trends, challenges, and applications in communication technologies for wearable computing and smart textiles in adaptive healthcare.

Papers submitted to this issue should explore state-of-art research issues, architectures and applications in wearable computing for adaptive healthcare and include, but are not limited to:

• Sensing and data gathering techniques of bio-signals using wearable sensors
• Signal processing techniques for disease assessment with wearable computing
• Wireless Body Area Network and e-health monitoring using internet of wearable things
• Internet of medical things with embedded devices for smart health
• Artificial intelligence in intelligent wearable computing
• Machine learning and computational modelling in wireless healthcare services
• Mobility management and routing protocol design for WBAN
• Strategies for optimization in internet of wearable things
• Energy minimization and QoS provisioning in wearable computing
• Wearable computing in ubiquitous, pervasive and mobile healthcare solutions
• Remote patient monitoring with wearable computing
• Robotics, Intelligent Medical Devices and Smart Technologies for smart health
• Predictive Modelling for Improving Healthcare using wearable computing
• Wearable Sensor applications in clinical trials and hospital healthcare

Important Dates

Manuscript due                       March 31, 2021Notification of reviewers’ 1st feedback May 31, 2021Final manuscript submission   July 31, 2021Notification of final decision   September 30, 2021

Submissions

Submissions should be original papers and should not be under consideration for publication elsewhere. Extended versions of high quality conference papers that are already published at relevant venues may also be considered as long as the additional contribution is substantial (at least 30% of new content).

Authors must follow the formatting and submission instructions of the Personal and Ubiquitous Computing journal at https://www.springer.com/journal/779.

You can also visit the Springer Nature Information for journal article authors pages at https://www.springer.com/gp/authors-editors/journal-author.

During the first step in the submission system Editorial Manager, please select “Original article” as article type. In further steps, please confirm that your submission belongs to a special issue and choose from the drop-down menu the appropriate special issue title.

All papers will be peer-reviewed.