Topical Collection on IoT-based Health Monitoring System to handle Pandemic Diseases using Estimated Computing

in Special Issue   Posted on December 23, 2020 

Information for the Special Issue

Submission Deadline: Fri 30 Jul 2021
Journal Impact Factor : 2.505
Journal Name : Neural Computing and Applications
Journal Publisher:
Website for the Special Issue: https://www.springer.com/journal/521/updates/18375784
Journal & Submission Website: https://www.springer.com/journal/521

Special Issue Call for Papers:

Scope 

There is no denying that technology could not stop people from aging and become more prone to diseases. Despite tremendous growth in technology and healthcare services, COVID-19 has currently shaken the world and has proven that all this growth is futile. Therefore, it is the need of the hour to make the healthcare system more robust and efficient. This emerging IoT paradigm has strong pertinence in all domains. Though, there has been extensive research on IoT in healthcare service. However, the applicability of IoT in healthcare service is yet to be explored. Remote monitoring is one of the key benefits of the integration of IoT in healthcare. It enables doctors and patients to interact more often, resulting in reduced healthcare costs. Wearable devices like fitness bands, fitbits, and other wireless devices like blood pressure and heartbeat monitoring cuffs enable patients to access their personalized information. These devices can be programmed to remind patients of blood pressure or sugar variations, health appointments, exercise checks, and many more. For doctors and physicians, IoT has given numerous benefits too. Wearables and monitoring devices help doctors to monitor the health of patients more effectively and proactively. Apart from patients and physicians, IoT is yielding immense benefits to hospitals and insurance companies. IoT-enabled devices can help hospitals to monitor medical equipment, medical staff, rate of spread of infection, and many more.   Furthermore, medical insurance companies can leverage the data collected by IoT-enabled health monitoring devices. With numerous benefits arising from the integration of IoT and healthcare services, there exist several challenges too. Data security and privacy are some significant concerns for practitioners and researchers, as IoT devices transmit data in real-time. The compatibility of numerous IoT devices with protocols and deployed infrastructure is another hindrance. Again, a significant issue in IoT is data overload and inaccuracy. IoT devices collect a vast amount of data, which, when analyzed, gives useful insights to improve decision-making capability. However, as the number of IoT devices increases exponentially, it is getting challenging to process this vast data and extract useful information. Finally, the cost is the considerable constraint that restricts every common man to use this technology.  This topical collection aims at providing a platform for researchers and practitioners to exchange and publish the latest research trends and results in the area related to the advancements of IoT in healthcare services to handle pandemic diseases. The main objective of this topical collection is to empower researchers to explore the key concepts that can lead to the practical, feasible, and robust integration of IoT in healthcare service to deliver fast, end-to-end, and reliable service to the patients.  

Topics of interest include (but not limited to) 

  • Artificial Intelligence and IoT-based healthcare to handle pandemic diseases
  • IoT-based health monitoring system for COVID-19
  • Big data management in IoT-based healthcare
  • Cloud computing and IoT-based healthcare 
  • IoT-based healthcare networks
  • Novel coronavirus COVID-19 outbreak
  • IoT for personal health monitoring and disease diagnosis
  • IoT for m-health and community healthcare
  • Environmental monitoring and surveillance systems
  • IoT for ambient-assisted living
  • IoT for semantic medical access
  • IoT for indirect emergency healthcare
  • Smartphone healthcare solution
  • Public health and environmental policies
  • IoT for context-aware healthcare applications 

Schedule 

Submissions Deadline:              January 01, 2021First Reviews Due:                     April 01, 2021Revision Due:                            May 30, 2021Second Reviews Due/Notification:   June 30, 2021Final Manuscript Due:              July 30, 2021 

Guest Editorial Team  Lidia Ogiela, Pedagogical University of Krakow, Poland, [email protected]  Arcangelo Castiglione, University of Salerno, Fisciano, Salerno, Italy, [email protected] B. Gupta (Lead Guest Editor), National Institute of Technology, Kurukshetra, India, [email protected] P. Agrawal, University of Cincinnati, Cincinnati, USA, [email protected] 

Submission Format and Review Guidelines

Peer Review Process

All the papers will go through a double blind review process and will be reviewed by at least two reviewers. A thorough check will be done and the guest editors will check any significant similarity between the manuscript under consideration and any published paper or submitted manuscripts of which they are aware. In such case, the article will be directly rejected without proceeding further. Guest editors will make all reasonable effort to receive the reviewer’s comments and recommendation on time.

The submitted papers must provide original research that has not been published nor currently under review by other venues. Previously published conference papers should be clearly identified by the authors at the submission stage and an explanation should be provided about how such papers have been extended.  At least 30% of new content is expected.

Submission Guidelines

Paper submissions for the special issue should follow the submission format and guidelines (https://www.springer.com/journal/521/submission-guidelines). Each manuscript should not exceed 16 pages in length (inclusive of figures and tables).

Manuscripts should be submitted online at https://www.editorialmanager.com/ncaa/default.aspx  and follow the “Submit A Manuscript” link on that page. Authors should select ‘TC: IoT-based Health Monitoring System’ during the submission step ‘Additional Information’.

  

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