Interpolation technique for extracting features from ECG signals sampled at low sampling rates

Paolo Castiglioni; L. Piccini; M. Di Rienzo

Interpolation technique for extracting features from ECG signals sampled at low sampling rates

Paolo Castiglioni, L. Piccini, M. Di Rienzo

Fondazione Don Carlo Gnocchi Onlus

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The occurrence of the R peak (t_R), and the area of the QRS complex (A_QRS) are among the features estimated from each ECG wave. To estimate these parameters ECG is traditionally sampled at a high sampling rate (250-SOOHz). However, since t_R and A_QRS are identified by the selective analysis of the QRS complex and since the QRS maximal frequency component is about 25 Hz, we propose a new procedure to identify t_R and A_QRS from ECG sampled at the relatively low rate dictated by the frequency content of the QRS complex. The procedure identifies each QRS complex from the sampled ECG, and estimates t_R and A_QRS after interpolation of the QRS complex. The interpolation is obtained as the Inverse Discrete Fourier Transform (IDFT) of the zero-padded DFT of the QRS. The technique was tested on a public database of ECG. Results showed that by this technique t_R and A_QRS can be accurately derived from ECG sampled at frequency as low as 70 Hz.

Original language	English
Title of host publication	Computers in Cardiology
Editors	A. Murray
Pages	481-484
Number of pages	4
Volume	30
Publication status	Published - 2003
Event	Computers in Cardiology 2003 - Thessaloniki Chalkidiki, Greece Duration: Sep 21 2003 → Sep 24 2003

Other

Other	Computers in Cardiology 2003
Country	Greece
City	Thessaloniki Chalkidiki
Period	9/21/03 → 9/24/03

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine
Software

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@inproceedings{e07a050e99a64c04ad1dcb62dbdf173d,

title = "Interpolation technique for extracting features from ECG signals sampled at low sampling rates",

abstract = "The occurrence of the R peak (tR), and the area of the QRS complex (AQRS) are among the features estimated from each ECG wave. To estimate these parameters ECG is traditionally sampled at a high sampling rate (250-SOOHz). However, since tR and AQRS are identified by the selective analysis of the QRS complex and since the QRS maximal frequency component is about 25 Hz, we propose a new procedure to identify tR and AQRS from ECG sampled at the relatively low rate dictated by the frequency content of the QRS complex. The procedure identifies each QRS complex from the sampled ECG, and estimates tR and AQRS after interpolation of the QRS complex. The interpolation is obtained as the Inverse Discrete Fourier Transform (IDFT) of the zero-padded DFT of the QRS. The technique was tested on a public database of ECG. Results showed that by this technique tR and AQRS can be accurately derived from ECG sampled at frequency as low as 70 Hz.",

author = "Paolo Castiglioni and L. Piccini and {Di Rienzo}, M.",

year = "2003",

language = "English",

volume = "30",

pages = "481--484",

editor = "A. Murray",

booktitle = "Computers in Cardiology",

note = "Computers in Cardiology 2003 ; Conference date: 21-09-2003 Through 24-09-2003",

}

TY - GEN

T1 - Interpolation technique for extracting features from ECG signals sampled at low sampling rates

AU - Castiglioni, Paolo

AU - Piccini, L.

AU - Di Rienzo, M.

PY - 2003

Y1 - 2003

N2 - The occurrence of the R peak (tR), and the area of the QRS complex (AQRS) are among the features estimated from each ECG wave. To estimate these parameters ECG is traditionally sampled at a high sampling rate (250-SOOHz). However, since tR and AQRS are identified by the selective analysis of the QRS complex and since the QRS maximal frequency component is about 25 Hz, we propose a new procedure to identify tR and AQRS from ECG sampled at the relatively low rate dictated by the frequency content of the QRS complex. The procedure identifies each QRS complex from the sampled ECG, and estimates tR and AQRS after interpolation of the QRS complex. The interpolation is obtained as the Inverse Discrete Fourier Transform (IDFT) of the zero-padded DFT of the QRS. The technique was tested on a public database of ECG. Results showed that by this technique tR and AQRS can be accurately derived from ECG sampled at frequency as low as 70 Hz.

AB - The occurrence of the R peak (tR), and the area of the QRS complex (AQRS) are among the features estimated from each ECG wave. To estimate these parameters ECG is traditionally sampled at a high sampling rate (250-SOOHz). However, since tR and AQRS are identified by the selective analysis of the QRS complex and since the QRS maximal frequency component is about 25 Hz, we propose a new procedure to identify tR and AQRS from ECG sampled at the relatively low rate dictated by the frequency content of the QRS complex. The procedure identifies each QRS complex from the sampled ECG, and estimates tR and AQRS after interpolation of the QRS complex. The interpolation is obtained as the Inverse Discrete Fourier Transform (IDFT) of the zero-padded DFT of the QRS. The technique was tested on a public database of ECG. Results showed that by this technique tR and AQRS can be accurately derived from ECG sampled at frequency as low as 70 Hz.

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M3 - Conference contribution

AN - SCOPUS:4143107063

VL - 30

SP - 481

EP - 484

BT - Computers in Cardiology

A2 - Murray, A.

T2 - Computers in Cardiology 2003

Y2 - 21 September 2003 through 24 September 2003

ER -

Interpolation technique for extracting features from ECG signals sampled at low sampling rates

Abstract

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ASJC Scopus subject areas

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