NDLI: The PhysioNet/Computing in Cardiology Challenge 2015: Reducing false arrhythmia alarms in the ICU

Content Provider	IEEE Xplore Digital Library
Author	Clifford, Gari D. Silva, Ikaro Moody, Benjamin Li, Qiao Kella, Danesh Shahin, Abdullah Kooistra, Tristan Perry, Diane Mark, Roger G.
Copyright Year	2015
Description	Author affiliation: Emory School of Medicine, Emory Univesrity, Atlanta, GA, USA (Kella, Danesh) \|\| Department of Biomedical Informatics, Emory University, Atlanta, GA USA (Clifford, Gari D; Li, Qiao) \|\| Institute for Medical Engineering & Science, Massachusetts Institute of Technology, USA (Silva, Ikaro; Moody, Benjamin; Mark, Roger G.) \|\| Beth Israel Medical Center, Harvard University, Boston MA, USA (Shahin, Abdullah; Kooistra, Tristan; Perry, Diane)
Abstract	High false alarm rates in the ICU decrease quality of care by slowing staff response times while increasing patient delirium through noise pollution. The 2015 Physio-Net/Computing in Cardiology Challenge provides a set of 1,250 multi-parameter ICU data segments associated with critical arrhythmia alarms, and challenges the general research community to address the issue of false alarm suppression using all available signals. Each data segment was 5 minutes long (for real time analysis), ending at the time of the alarm. For retrospective analysis, we provided a further 30 seconds of data after the alarm was triggered.
Starting Page	273
Ending Page	276
File Size	662784
Page Count	4
File Format	PDF
ISBN	9781509006854
ISSN	2325887X
e-ISBN	9781509006847
DOI	10.1109/CIC.2015.7408639
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Training Monitoring Electrocardiography Cardiology Signal processing algorithms Heart rate Real-time systems
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multi-modal integrated approach towards reducing false arrhythmia alarms during continuous patient monitoring: The Physionet Challenge 2015

Reducing false arrhythmia alarms in the ICU

The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICU

Reducing false arrhythmia alarms in the ICU by Hilbert QRS detection

Reducing false arrhythmia alarms in the ICU using novel signal quality indices assessment method

Noninvasive fetal ECG: The PhysioNet/Computing in Cardiology Challenge 2013

Suppression of false arrhythmia alarms using ECG and pulsatile waveforms

A multimodal approach to reduce false arrhythmia alarms in the intensive care unit

Reducing false arrhythmia alarms using robust interval estimation and machine learning

The PhysioNet/Computing in Cardiology Challenge 2015: Reducing false arrhythmia alarms in the ICU

Similar Documents

Multi-modal integrated approach towards reducing false arrhythmia alarms during continuous patient monitoring: The Physionet Challenge 2015

Reducing false arrhythmia alarms in the ICU

The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICU

Reducing false arrhythmia alarms in the ICU by Hilbert QRS detection

Reducing false arrhythmia alarms in the ICU using novel signal quality indices assessment method

Noninvasive fetal ECG: The PhysioNet/Computing in Cardiology Challenge 2013

Suppression of false arrhythmia alarms using ECG and pulsatile waveforms

A multimodal approach to reduce false arrhythmia alarms in the intensive care unit

Reducing false arrhythmia alarms using robust interval estimation and machine learning

The PhysioNet/Computing in Cardiology Challenge 2015: Reducing false arrhythmia alarms in the ICU