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Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients

Overview of attention for article published in Journal of Medical Systems, December 2015
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48 Mendeley
Title
Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients
Published in
Journal of Medical Systems, December 2015
DOI 10.1007/s10916-015-0403-3
Pubmed ID
Authors

Dimitrios Triantafyllopoulos, Panagiotis Korvesis, Iosif Mporas, Vasileios Megalooikonomou

Abstract

New generation of healthcare is represented by wearable health monitoring systems, which provide real-time monitoring of patient's physiological parameters. It is expected that continuous ambulatory monitoring of vital signals will improve treatment of patients and enable proactive personal health management. In this paper, we present the implementation of a multimodal real-time system for epilepsy management. The proposed methodology is based on a data streaming architecture and efficient management of a big flow of physiological parameters. The performance of this architecture is examined for varying spatial resolution of the recorded data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 19%
Researcher 6 13%
Student > Postgraduate 6 13%
Student > Ph. D. Student 6 13%
Other 3 6%
Other 6 13%
Unknown 12 25%
Readers by discipline Count As %
Medicine and Dentistry 12 25%
Computer Science 7 15%
Engineering 4 8%
Agricultural and Biological Sciences 2 4%
Business, Management and Accounting 1 2%
Other 5 10%
Unknown 17 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 February 2016.
All research outputs
#15,351,847
of 22,835,198 outputs
Outputs from Journal of Medical Systems
#660
of 1,149 outputs
Outputs of similar age
#227,861
of 388,302 outputs
Outputs of similar age from Journal of Medical Systems
#17
of 38 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,149 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 388,302 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.