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Techiecardia-A system for detection and prediction of sudden cardiac arrests
Published in Institute of Advanced Scientific Research, Inc.
2017
Volume: 2017
   
Issue: Special Issue 13
Pages: 339 - 344
Abstract
According to the recent survey almost 30% of the global deaths are due to Sudden cardiac arrests. One out of ten people only will survive from SCA because of no immediate care. SCA deaths accounts to half of the percentage of heart disease deaths. We can save these kind of patients when we could automatically detect when patient is getting sudden cardiac arrest. Also the Human Activity recognition is important for these patients because they get blacked out and fall down. So here we have presented a solution which can automatically detect the SCA and send automated alerts. © 2017, Institute of Advanced Scientific Research, Inc. All rights reserved.
About the journal
JournalJournal of Advanced Research in Dynamical and Control Systems
PublisherInstitute of Advanced Scientific Research, Inc.
ISSN1943023X
Authors (4)