Literature DB >> 22801487

Virtual groups for patient WBAN monitoring in medical environments.

Stepan Ivanov1, Christopher Foley, Sasitharan Balasubramaniam, Dmitri Botvich.   

Abstract

Wireless body area networks (WBAN) provide a tremendous opportunity for remote health monitoring. However, engineering WBAN health monitoring systems encounters a number of challenges including efficient WBAN monitoring information extraction, dynamically fine tuning the monitoring process to suit the quality of data, and to allow the translation of high-level requirements of medical officers to low-level sensor reconfiguration. This paper addresses these challenges, by proposing an architecture that allows virtual groups to be formed between devices of patients, nurses, and doctors in order to enable remote analysis of WBAN data. Group formation and modification is performed with respect to patients' conditions and medical officers' requirements, which could be easily adjusted through high-level policies. We also propose, a new metric called the Quality of Health Monitoring, which allows medical officers to provide feedback on the quality of WBAN data received. The WBAN data gathered are transmitted to the virtual group members through an underlying environmental sensor network. The proposed approach is evaluated through a series of simulation.

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Year:  2012        PMID: 22801487     DOI: 10.1109/TBME.2012.2208110

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  2 in total

1.  Towards Reliable and Energy-Efficient Incremental Cooperative Communication for Wireless Body Area Networks.

Authors:  Sidrah Yousaf; Nadeem Javaid; Umar Qasim; Nabil Alrajeh; Zahoor Ali Khan; Mansoor Ahmed
Journal:  Sensors (Basel)       Date:  2016-02-24       Impact factor: 3.576

2.  Public Auditing with Privacy Protection in a Multi-User Model of Cloud-Assisted Body Sensor Networks.

Authors:  Song Li; Jie Cui; Hong Zhong; Lu Liu
Journal:  Sensors (Basel)       Date:  2017-05-05       Impact factor: 3.576

  2 in total

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