How many ECG leads do we need?

Trägårdh, Elin; Engblom, Henrik; Pahlm, Olle

doi:10.1016/j.ccl.2006.04.005

Cited by 20 publications

(10 citation statements)

References 111 publications

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“…All studies have sought one way or another to establish how many leads are needed for different measurement purposes and where they should be located. Tra¨ga˚rdh et al 33 have recently published a good review of these clinical studies. The present aim was to demonstrate and validate the use of a modelingbased method called the region of interest sensitivity ratio (ROISR) 35 in analyzing the specificity of ECG measurement lead.…”

Section: Introductionmentioning

confidence: 97%

Region of Interest Sensitivity Ratio in Analyzing Sensitivity Distributions of Electrocardiographic Measurements

Väisänen

Hyttinen

2009

Ann Biomed Eng

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Modern devices such as wearable and implantable systems provide new methods for bioelectric measurement while creating new needs to assess the efficacy of the measurements. A modeling related analysis method, called the region of interest sensitivity ratio (ROISR), has been developed and applied hitherto in analyzing EEG measurements. ROISR describes how well the sensitivity of a measurement is concentrated within the region of interest (ROI). The objectives of the present study were to demonstrate and evaluate the applicability of this method in analyzing the specificity of ECG leads and to compare the results with those previously published. Here the specificities of the 117 leads of a Dalhousie body surface ECG mapping system to different segments of the left ventricular myocardium and the whole right ventricular free wall were analyzed. The ROISR method was also validated with epicardial dipole simulations. The results are consistent with those from previous clinical studies, and the ROISR method is thus applicable in future studies where, e.g., sensitivity distributions of implantable ECG measurements are analyzed.

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Section: Introductionmentioning

confidence: 97%

Region of Interest Sensitivity Ratio in Analyzing Sensitivity Distributions of Electrocardiographic Measurements

Väisänen

Hyttinen

2009

Ann Biomed Eng

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“…The comparison between the traditional 12-lead electrocardiograph (ECG) and body surface potential mapping for the detection of acute myocardial infarction (MI), and also anterior and posterior myocardial Ischemia (MI) achieved a successful sensitivity with a percentage of 47.4% versus 40% for the traditional 12 lead electrocardiograph (ECG). But regarding specificity, the traditional 12 lead electrocardiograph (ECG) achieved a percentage of 93.7% versus 85.6% for body surface potential mapping as far as the detection of myocardial infarction (MI) was concerned [14,15,16,17,18].…”

Section: Fig (1) One Cardiac Cycle Of Normal Ecg [ 1 ]mentioning

confidence: 99%

Pseudo Body Surface Potential Mapping on Human Thoracic

Aouf¹,

Sharawy²,

Sami³

2017

IJCA

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In order to make a benefit from body surface potential mapping; this is need to measure the potential from a multielectrode system. Spatio-temporal information represents the potential distribution over the body surface. This distribution represents the variation of the potential with respect to amplitude and time simultaneously. In this paper, The cardiac muscle state from body surface potential maps (BSPM) noninvasively is evaluated using chest electrodes for a better cardiac disease diagnosis and for enhancing the diagnostic power as compared to the standard 12-lead ECG system.

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“…J n for the activation starting on the apex and conducting through the left ventricle over one second. The source distribution was combined with the sensitivity distributions to solve the measured potentials in the surface leads as described by (1). For each lead we evaluated the source volume V o within the left ventricle which generates signal with 10 % MSD n compared to the signal generated by whole left ventricle.…”

Section: Calculationsmentioning

confidence: 99%

“…All the studies have tried to answer, one way or another the questions; How many leads are needed for different measurement purposes and where they should be located. Trägårdh and colleagues [1] have recently published a good review of these clinical studies. In the present paper we study the contributions of 12 left ventricular segments to the body surface potentials measured in 117 leads, i.e.…”

Section: Introductionmentioning

confidence: 99%

Contributions of the 12 Segments of Left Ventricular Myocardium to the Body Surface Potentials

Väisänen

Requena‐Carrión

Alonso‐Atienza

et al.

Functional Imaging and Modeling of the Heart

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Abstract. Experimental and inverse approaches have been applied in studying the contributions of different parts of the myocardium to the ECG measurements. Also optimal electrode locations for different clinical purposes have been studied by applying body surface maps. It is valuable to know where the measured ECG is actually generated. Thus the measurements can be designed to be most optimal to measure certain myocardial sources. Here we assess the contributions of 12 left ventricular segments to the potentials of 117 surface leads. The study is based on the numerical lead field analysis combined with the cardiac activation modeling. We analyzed the contributions of the signals generated by different segments to the total signal generated by the left ventricle. It was found that anterior segments have high contributions to the leads on the lower left thorax and inferior segments on the leads on the lower left back. These results were expected based on the previous clinical studies.

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How many ECG leads do we need?

Cited by 20 publications

References 111 publications

Region of Interest Sensitivity Ratio in Analyzing Sensitivity Distributions of Electrocardiographic Measurements

Region of Interest Sensitivity Ratio in Analyzing Sensitivity Distributions of Electrocardiographic Measurements

Pseudo Body Surface Potential Mapping on Human Thoracic

Contributions of the 12 Segments of Left Ventricular Myocardium to the Body Surface Potentials

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