A The fully automated solution

for T-QT studies

Fat-QT

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.

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.

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

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

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

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 …

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.

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.

Stand-alone: Review II

Annotations on Rep Beats can also be reviewed.

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