Smart end-to-end infrastructural solution for monitoring patients with neurological disorders

Mohamed Adel Serhani, N. Sertac Artan, H. Jonathan Chao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Monitoring neurological disorders involve management of intensive, continuous, and heterogeneous brain signals. Monitoring EEG has been recognized to be an efficient way to detect abnormalities in neural processes. Traditional techniques for data management are not appropriate for continuous monitoring, any more. A Smart monitoring architecture is required to inherently integrate different technologies, allow seamless integration of different processes including: data gathering, processing, analytics, and visualization. In this paper, we propose an end-to-end architecture based on SOA and other emerging technologies to support continuous monitoring of patients with neurological disorders such as Parkinson's disease. The silent feature of the proposed solution is to incorporate smartness at all levels of monitoring activities from sensing to data storage, processing, and visualization. We evaluated the proposed architecture using an illustrative scenario of monitoring of patients with Parkinson's disease. We described the current implementation efforts and we highlighted how the proposed monitoring solution implemented smartness at a various monitoring processes.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and IEEE 10th International Conference on Autonomic and Trusted Computing, ATC 2013
Pages644-649
Number of pages6
DOIs
StatePublished - 2013
Event10th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and 10th IEEE International Conference on Autonomic and Trusted Computing, ATC 2013 - Vietri sul Mare, Italy
Duration: Dec 18 2013Dec 21 2013

Publication series

NameProceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and IEEE 10th International Conference on Autonomic and Trusted Computing, ATC 2013

Other

Other10th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and 10th IEEE International Conference on Autonomic and Trusted Computing, ATC 2013
CountryItaly
CityVietri sul Mare
Period12/18/1312/21/13

Keywords

  • Neurological diseases
  • Parkinson's disease
  • SOA
  • Smart monitoring

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Fingerprint Dive into the research topics of 'Smart end-to-end infrastructural solution for monitoring patients with neurological disorders'. Together they form a unique fingerprint.

Cite this