NDLI: Heart rate reliability for the Smart Rollator

Content Provider	IEEE Xplore Digital Library
Author	Ji Gang Chan, A.D.C. Cuhadar, A.
Copyright Year	2010
Description	Author affiliation: Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada (Ji Gang; Chan, A.D.C.; Cuhadar, A.)
Abstract	In this paper, we propose an algorithm to quantify the reliability of heart rates estimated from electrocardiogram (ECG) data. Long-term ECG monitoring is becoming more prevalent with an increasing number of ambulatory monitors, including the Smart Rollator which is a rollator equipped with a series of minimally obtrusive sensors. The ECG reliability index enables the automatic pre-processing of data, to highlight or discard data that are corrupted by noise or other artifacts. Three reliability indices are proposed that are based on the assumption of a short-term invariant PQRST waveform. These indices use distance measures to quantify the reliability of the ECG, which are: 1) percent residual difference, 2) cross-correlation coefficient, and 3) a wavelet distance measure. The reliability indices are evaluated using real ECG data corrupted with three types of noise: 1) baseline wander, 2) electromyogram artifacts, and 3) motion artifact. All three reliability indices demonstrate an ability to track the accuracy of heart rate estimates derived from the ECG. Among the three indices investigated in this work, the wavelet distance measure provides the best performance.
Starting Page	1044
Ending Page	1047
File Size	533851
Page Count	4
File Format	PDF
ISBN	9781424428328
ISSN	10915281
DOI	10.1109/IMTC.2010.5488205
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart rate Electrocardiography Remote monitoring Aging Databases Intelligent sensors Motion estimation Stability Medical services Data engineering rollator ambulatory monitoring electrocardiogram reliability index remote monitoring
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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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
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