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rolling correlation
IOP PUBLISHING PHYSIOLOGICAL MEASUREMENT
Physiol. Meas. 30 (2009) 1241–1250 doi:10.1088/0967-3334/30/11/008
Automated identification of peristaltic pressure waves
in oesophageal manometry investigations using the
rolling correlation technique
S Perring and E Jones
Medical Physics Department, Poole Hospital NHS Trust, Longfleet Rd, Poole BH15 2JB, UK
E-mail: Steve.perring@poole.nhs.uk
Received 9 July 2009 accepted for publication 7 September 2009
Published 8 October 2009
Online at stacks.iop.org/PM/30/1241
Abstract
We have implemented the technique of rolling correlation coefficient as
proposed by Buttfield and Bolton (2005 Real time measurement of RR
intervals using a digital signal processor J. Med. Eng. Technol. 29 8–13)
for ECG R-wave detection in the detection and timing of oesophageal
peristalsis. 43 sequential patients attending for oesophageal manometry were
retrospectively reviewed. Two expert reviewers visually assessed each swallow
for normality of peristaltic amplitude and propagation speed. Automatic
assessment was performed using rolling correlation, maximum amplitude,
threshold and maximum gradient techniques of identifying onset of peristalsis.
Rolling correlation was comparable with the maximum amplitude technique
at identifying peristaltic pressure waves visually identified as present. Rolling
correlation was most effective at correctly identifying propagation velocity as
normal (698 out of 845 normally propagating waves) and highest correlation
with expert visual assessment of percentage abnormal propagation for each
patient (R value 0.918). In a sub-group of 11 studies assessed as displaying
normal motility, rolling correlation gave lowest variation of propagation speed
and highest consistency with visual assessment. The rolling correlation
technique is effective and accurate at identifying oesophageal peristalsis
and characterizing peristaltic propagation in manometric studies even in the
presence of abnormally weak peristalsis and other confound
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