ecgpuwave - QRS detector and waveform limit locator
ecgpuwave
-r record -a annotator [ options ... ]
ecgpuwave analyses an ECG
signal from the specified record, detecting the QRS complexes and locating
the beginning, peak, and end of the P, QRS, and ST-T waveforms. The output
of ecgpuwave is written as a standard WFDB-format annotation file associated
with the specified annotator. This file can be converted into text format
using rdann(1)
or viewed using wave(1)
.
The QRS detector is based on the
algorithm of Pan and Tompkins (reference 1) with some improvements that
make use of slope information (reference 2). Optionally, QRS annotations
can be provided as input (see option -i), permitting the use of external
QRS detectors such as sqrs(1)
or manually-edited annotations (which can
be created using wave(1)
). The waveform limit locator is based on the algorithm
described in reference 3 and evaluated in references 3 and 4.
The output
annotation file contains PWAVE ("p") and TWAVE ("t") annotations that indicate
the P- and T-wave peaks, as well as QRS annotations (NORMAL ("N") if generated
by the built-in QRS detector, or copies of the input QRS annotations if
these were supplied). ecgpuwave classifies each T wave as type 0 (normal),
1 (inverted), 2 (positive monophasic), 3 (negative monophasic), 4 (biphasic
negative-positive), or 5 (biphasic positive-negative); this numeric classification
is written into the num field of each TWAVE annotation. The P, QRS, and
T waveform onsets and ends are marked in the output annotation file using
WFON ("(") and WFOFF (")") annotations. The num field of each WFON and
WFOFF annotation designates the type of waveform with which it is associated:
0 for a P wave, 1 for a QRS complex, or 2 for a T wave.
Options include:
- -f time
- Begin at the specified time (default: the beginning of the record).
- -i input-annotator
- Read QRS locations from the specified input-annotator (and
copy them to the output annotation file). Default: run the built-in QRS
detector.
- -n beat-type
- Specify which beats to process (must be used together
with -i): beat_type may be 0 (default: process all beats) or 1 (process
only beats labelled as NORMAL ("N") by the input annotator).
- -s n
- Analyze
signal n (default: signal 0).
- -t time
- Stop at the specified time (default:
the end of the record).
It may be necessary to set and export
the shell variable WFDB (see setwfdb(1)
).
rdann(1)
, sqrs(1)
, wave(1)
,
wqrs(1)
1. Pan J and Tompkins WJ. A Real-Time QRS Detection Algorithm. IEEE Transactions
on Biomedical Engineering 32(3):230-236, 1985.
2. Laguna P. New Electrocardiographic Signal Processing Techniques: Application
to Long-term Records. Ph. D. dissertation, Science Faculty, University of Zaragoza,
1990.
3. Laguna P, Jan[’e] R, Caminal P. Automatic Detection of Wave Boundaries
in Multilead ECG Signals: Validation with the CSE Database. Computers and
Biomedical Research 27(1):45-60, 1994.
4. Jan[’e] R, Blasi A, Garc[’i]a J, and Laguna P. Evaluation of an automatic
threshold based detector of waveform limits in Holter ECG with the QT database.
Computers in Cardiology 24:295-298 (1997; available at http://www.physionet.org/physiobank/database/qtdb/eval/
)
ecgpuwave is available as part of PhysioToolkit under the
GPL (see SOURCE below).
Pablo Laguna (laguna@posta.unizar.es), Raimon
Jan[’e], Eudald Bogatell, and David Vigo Anglada
http://www.physionet.org/physiotools/ecgpuwave/src/
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