Clinical value of quantitative analysis of ST slope during exercise.

Ascoop, C. A. P. L.; Distelbrink, C A; Lang, Petra

doi:10.1136/hrt.39.2.212

Cited by 39 publications

(5 citation statements)

References 13 publications

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“…Ascoop et al [13]found that a linear combination of ST segment slope (≤180 mVs –1 measured 10–50 ms after the J point in lead CM5, and ≤190 mVs –1 in lead CC5) and ST segment depression (>0.154 and >0.200 mV, respectively, 10 ms after the J point) is the optimal criterion in the diagnosis of coronary artery disease. In this early study the investigators only used two bipolar chest electrodes and all subjects were male.…”

Section: Discussionmentioning

confidence: 99%

Visual versus Computerized Analysis of Upsloping ST Segment Depression in the Exercise Electrocardiogram

Walamies

Kööbi²,

Hämäläinen³

et al. 1999

Cardiology

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A slowly upsloping ST segment depression is an abnormal, and a rapidly upsloping ST segment depression is a normal exercise ECG response. We investigated the agreement of expert physicians on the visual classification of the ST segment depression, and compared the (majority) vote with the computer-generated ST slope. A total of 206 exercise ECG leads with an amplitude of the ST segment depression ≥0.15 mV and a ST segment slope ≥0.5 mVs^–1 were evaluated. All three interpreters agreed in 68 cases, two agreed in 123 cases, and all disagreed in 15 cases. Intraobserver agreement was 61%. The ST segment slope was significantly (p < 0.001) greater in leads generally interpreted as rapidly upsloping (n = 38; 2.1 ± 0.8 mVs^–1), than in those interpreted as slowly upsloping (n 121; 1.3 ± 0.6 mVs^–1) or horizontal (n = 32; 1.1 ± 0.4 mVs^–1), although there was some overlap. Thus, standardization of the computer-assisted exercise ECG interpretation should be continued.

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Section: Discussionmentioning

confidence: 99%

Visual versus Computerized Analysis of Upsloping ST Segment Depression in the Exercise Electrocardiogram

Walamies

Kööbi²,

Hämäläinen³

et al. 1999

Cardiology

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“…The phaseless filter system can also be recommended from the standpoint of cost performance. Ascoop et al 1977). Most of them used the onset of the QRS complex as a base point to recognize the signal, with subsequent identification of the ST segment.…”

Section: Discussionmentioning

confidence: 99%

A high-pass phaseless filter for eliminating low-frequency ECG noise during exercise and its clinical application to automatic analysis of the heart rate and ST segment level.

Ino-Oka

Isoyama

Shimizu

et al. 1984

Tohoku J. Exp. Med.

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“…Such ECGs often show a large amount of baseline wander, due to the trunk movement of the subject, as well as an alternating noise level due to myopotentials generated by the alternately active muscles in the thorax area. The observed registrations are obtained either from differential lead CC5 or from CM5 (6). Signal epochs, containing aberrancies, ST-segment depressions and much baseline wander were included in this study.…”

Section: Methodsmentioning

confidence: 99%

ECG baseline wander reduction using linear phase filters

Alste¹,

Eck²,

Herrmenn³

1986

Computers and Biomedical Research

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The continuous real time reduction of baseline wander is a considerable problem in electrocardiography during exercises. Our solution consists of spectral filtering. The legitimacy of high-pass filtering of the ECG by means of digital linear phase filters with a low cutoff frequency as high as the heart rate is shown. The specifications of these filters are derived from experimental results. Special hardware is presented that simultaneously performs the desired real-time filter operation in four ECG leads. 8 1986 Academic press, 1~.Baseline wander elimination is often one of the first steps required in the processing of the electrocardiogram (ECG). Not only before further automatic processing, but also as a first step in visual diagnosis. Reduction of baseline wander is especially required in exercise electrocardiography (XECG) and during ambulatory monitoring, because it is then that this wander is often pronounced .Methods suggested for the removal of baseline wander in ECG's are (i) estimation and subsequent removal of the wander using polynomial splining techniques, and (ii) high-pass frequency spectrum filtering.Zero-and first-order polynomials are commonly used for baseline wander estimation, both in visual diagnosis (for example, the use of a pencil and ruler in measuring ST-segment depression) and in automatic signal processing.In the case of zero-order estimation, the average value of the PR segment of the ECG beat is used since this segment is by definition at baseline level. When the PR value exceeds a certain arbitrary threshold, the entire beat is often eliminated to inhibit measurements on distorted beats (I). When estimating baseline wander by means of linear splining, the estimate is the straight line between two consecutive PR segments (2).Meijer (3) describes a fast and elegant technique for the computation of a third-order polynomial through consecutive PR segments. This cubic spline technique gives a rather good estimation of the baseline signal in normal ECG

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Clinical value of quantitative analysis of ST slope during exercise.

Abstract: The diagnostic performance of automatic analysis of the exercise electrocardiogram in detecting ischaemic heart disease was studied in 147

Cited by 39 publications

References 13 publications

Visual versus Computerized Analysis of Upsloping ST Segment Depression in the Exercise Electrocardiogram

Visual versus Computerized Analysis of Upsloping ST Segment Depression in the Exercise Electrocardiogram

A high-pass phaseless filter for eliminating low-frequency ECG noise during exercise and its clinical application to automatic analysis of the heart rate and ST segment level.

ECG baseline wander reduction using linear phase filters

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