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A The fully automated solution
for T-QT studies
Fat-QT
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Fat-QT Introduction
• Fat-QT (Fully Automatic Thorough-QT) is the
tool that combines the features of two confirmed
AMPS tools, namely CalECG and the FDAEcg
Suite.
• Fat-QT provides, in a single tool the capability to
perform a fully automated analysis of 12-lead
ECGs.
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Fat-QT Intended Use
• Taking advantage of the much improved
measurement algorithm of CalECG v3, as well
as the enhanced filters recently developed for
the AMPS FDAEcg Suite scoring module, FAT-
QT has the capability to greatly reduce the
amount of time needed to analyze ECG traces
in the contest of Thorough-QT studies in
particular, and in clinical trials in general, by pre-
processing, measuring, and then sorting all the
ECG traces in different sets.
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Annotations
With FAT-QT ECGs are at first automatically
annotated with the new and improved algorithm
of CalECG v.3. The annotations that can be
automatically measured include:
• RR, QT and PR interval
• QRS, ST and JT duration
• T-wave and R-wave amplitude
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Annotations II
With FAT-QT StandAlone version it will be
possible to set the desired annotation protocol
on both Rhythm data and Representative Beats.
In the example here on the left, a mixed
protocol has been set with annotation on
Rhythm data and on individual lead of
Rep. beat as well as Global (all leads
superimposed) Rep. Beat
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ECG-classification
Afterwards, using different scoring metrics, the
ECGs are sorted in categories, based on quality.
The scoring metrics are configurable and
selectable by the user and include:
• Heart rate
• QRS complexes heterogeneity
• Protocol agreement percentage
• T-wave complexity
• QT, fro Rhythm data
• QT, from Representative Beats
• Lead specific (I, II, III, aVR, aVL, aVF, V1…V6) LF noise
• Lead specific HF noise
• Lead specific All freq. noise
• Lead specific T-wave amplitude
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ECG-classification II
It is possible to enter as many ECG-categories (also
called bucket) as needed (3 in the example below).
It is possible to enter various Rules that will be used for
the classification. For each Rule, intervals will have to
be set and linked to the different buckets as shown in
the example below.
HR below 30 bpm is linked to the BAD bucket, HR
between 30 and 40 bpm is linked to the AVERAGE
bucket …
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Stand-alone vs COM interface
Fat-QT is available in two forms:
Stand-alone, in which the measurements and
classification-rules are defined on the computer used to
analyze the ECGs;
Client/Server, in which the data and program reside
on a server, but the interactive measurements and
ECG classification are made on a client PC. This model
has many advantages, such as the ability to centrally
store protocols and classification-rules that will have to
be generated with the stand-alone.
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Stand-alone: Review
Once the analysis is run with the desired measurements protocol and
classification rules, it is possible to review the ECGs. They will be
divided in the various buckets and it will be possible to review the
automatically generated annotations and the value of the scored
used for the classification.
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Stand-alone: Review II
Annotations on Rep Beats can also be reviewed.
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For questions, additional information, or a price proposition
please contact:
E-mail: Marketing@amps-llc.com
Web: www.amps-llc.com
418 Central Park West suite 21 - 10025 - New York - New York
Via Paolo VI, 34 - 25018 - Montichiari (BS) - Italy
127 rue de la Glaciere - 75013 - Paris - France
AMPS LLC