Arrhythmia Detection; Beat Detection; Ventricular Fibrillation; Patients With Pacemakers - HP M2350A Service Manual

Component central monitor
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Introducing
the ECP Component Central Monitor
System Description
Arrhythmia
Detection
The HP Component Central Monitor uses an arrhythmia detection and identification algorithm
which is designed to detect ventricular arrhythmias in paced as well as non-paced adult
patients.
A specific paced patient algorithm is designed to monitor patients with atrial, ventricular, or
dual chamber pacemakers.
Beat Detection
A unique set of digital filters, along with a combination of feature extraction and correlation
techniques, is used to detect and classify each beat. When arrhythmia monitoring is initiated
on a patient, a learning process is entered; feature and timing information is used to select the
most likely normal morphology. A patient's most frequently seen beat morphologies are stored
as templates and continually updated as the patient's condition evolves.
Each template family is classified as normal, paced, or ectopic using the averaged width,
height, and timing measurements relative to a previously learned normal family. Beats
matching templates with previously classified morphologies are assigned that classification;
otherwise feature and timing information are used for classification.
Ventricular
Fibrillation
The search for ventricular fibrillation is performed continually during patient monitoring and
remains active through periods of noisy signal. If the signal has a low frequency sinusoidal
shape, the detector indicates the presence of ventricular fibrillation.
Patients with Pacemakers
When paced processing is selected, the algorithm continuously searches for pacemaker spikes in
each potential QRS complex. A combination of beat information, pacemaker spike association,
and template matching defines and classifies each QRS complex.
Trends
Tabular and graphical trend displays and printed tabular trend reports are available to provide
a quantitative review of a patient's progress over time. 'l?abular trends are available at 5, 15,
and 60 minute intervals for up to 24 hours of data.
1.4

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M2360a

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