Indian Science Technology and Engineering facilities Map
 
Supplier Map
Service Map

Publications

Publication Details

Applicant:
Indian Institute of Technology (IIT) Patna 
Author:
Ankur Pandey, Ryan Sequeria, Preetam Kumar and Sudhir Kumar,  
Corresponding Authors:
Sudhir Kumar 
DOI #:
10.1109/JSYST.2019.2923670 
Title:
"A Multi-Stage Deep Residual Network for Biomedical Cyber-Physical Systems,"  
Journal:
IEEE Systems Journal 
Year:
2019 
Volume:
NA 
Page:
NA 
Keywords:
Anomaly detection, biomedical monitoring, cyber-physical systems (CPS)electrocardiogram (ECG),electroencephalography (EEG), residual learning 
Abstract:
In this paper, we propose a novel biomedical cyberphysical system for automated and efficient arrhythmia and seizure detection in the time-series biomedical signals such as electrocardiogram (ECG) and electroencephalography (EEG). We use a novel multilayer, automated, and multistage deep residual network for the anomaly detection in the biomedical signals. Generally, the biomedical datasets have class imbalance problem; hence, we leverage the concepts of undersampling techniques to address this issue. The proposed algorithm is validated on the publicly available benchmark MIT-BIH Arrhythmia and CHB-MIT Scalp databases. The results show a significant improvement in terms of the sensitivity of 90% and 97.1% for supraventricular and ventricular beats for best fold, respectively. The accuracy obtained is at par with most of the state-of-the-art methods, and in particular, for the supraventricular beats, the proposed method outperforms all but one state-of-the-art method. The advantage of the proposed method is that it gives reliable results with EEG samples of small duration and, as opposed to other state-of-the-art methods, it does not involve any preprocessing, hence computationally efficient. Additionally, the proposed algorithm provides 81% sensitivity for seizure detection in EEG signals, which is comparable to existing deep learning methods.  
Entered by:
Physics Head on 2020-08-04 
 
THE VISION
THE MISSION
ABOUT I-STEM
It has always been the basic tenet of the Government of India, in generously funding R&D efforts at academic institutions over the years, that facilities established through such support be made available to those needing them and qualified to make use of them for their own research work
read more >>

However, this was never easy or straightforward for, among other reasons, there was no ready source of information of what facility was available and where. Thanks to the Web, it is much easier today to have a national and regional “inventory of resources”, so as to match users with the resources they need, and to do all this in an efficient and transparent manner.

This can lead to a leap in R&D productivity and greatly enhance the effectiveness of public investment. This is the motivation behind I-STEM.
read less <<
Visitor Hit Counter
Hosted at Indian Institute of Science
Copyright © 2024 I-STEM. All rights reserved.
Audited by: STQC Bengaluru.