Comparison of the spatial QRS-T angle derived from digital ECGs recorded using conventional electrode placement with that derived from Mason-Likar electrode position

被引:2
|
作者
Salvi, Vaibhav [1 ]
Clark, Elaine [2 ]
Karnad, Dilip R. [1 ]
Macfarlane, Peter W. [2 ]
Panicker, Gopi Krishna [1 ]
Hingorani, Pooja [1 ]
Kothari, Snehal [1 ]
机构
[1] Quintiles Cardiac Safety Serv, 502 A,Leela Business Pk,MV Rd, Bombay 400059, Maharashtra, India
[2] Univ Glasgow, Inst Cardiovasc & Med Sci, Glasgow, Lanark, Scotland
关键词
Holter electrocardiography; Cardiac repolarization; Vectorcardiography; Electrode resistance; Body surface potential mapping; PREDICTS CARDIAC DEATH; VENTRICULAR REPOLARIZATION;
D O I
10.1016/j.jelectrocard.2016.06.006
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The spatial QRS-T angle is ideally derived from orthogonal leads. We compared the spatial QRS-T angle derived from orthogonal leads reconstructed from digital 12-lead ECGs and from digital Holier ECGs recorded with the Mason-Likar (M-L) electrode positions. Methods and results: Orthogonal leads were constructed by the inverse Dower method and used to calculate spatial QRS-T angle by (1) a vector method and (2) a net amplitude method, in 100 volunteers. Spatial QRS-T angles from standard and M-L ECGs differed significantly (57 degrees +/- 18 degrees vs 48 degrees +/- 20 degrees respectively using net amplitude method and 53 degrees +/- 28 degrees vs 48 degrees +/- 23 degrees respectively by vector method; p < 0.001). Difference in amplitudes in leads V4-V6 was also observed between Holter and standard ECGs, probably due to a difference in electrical potential at the central terminal. Conclusion: Mean spatial QRS-T angles derived from standard and M-L lead systems differed by 5 degrees-9 degrees. Though statistically significant, these differences may not be clinically significant. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:714 / 719
页数:6
相关论文
共 11 条
  • [1] Reconstruction of Standard 12-Lead ECGs from 12-Lead ECGs Recorded with the Mason-Likar Electrode Configuration
    Man, S.
    Maan, A. C.
    Kim, E.
    Draisma, H. H. M.
    Schalij, M. J.
    van der Wall, E. E.
    Swenne, C. A.
    [J]. COMPUTERS IN CARDIOLOGY 2007, VOL 34, 2007, 34 : 701 - +
  • [2] The derivation of the spatial QRS-T angle and the spatial ventricular gradient using the Mason-Likar 12-lead electrocardiogram
    Guldenring, Daniel
    Finlay, Dewar D.
    Bond, Raymond R.
    Kennedy, Alan
    McLaughlin, James
    Galeotti, Loriano
    Strauss, David G.
    [J]. JOURNAL OF ELECTROCARDIOLOGY, 2015, 48 (06) : 1045 - 1052
  • [3] On the derivation of the spatial QRS-T angle from Mason-Likar leads I, II, V2 and V5
    Guldenring, Daniel
    Finlay, Dewar D.
    Bond, Raymond R.
    Kennedy, Alan
    McLaughlin, James
    Moran, Kieran
    [J]. 2015 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), 2015, 42 : 165 - 168
  • [4] Reconstruction of standard 12-lead electrocardiograms from 12-lead electrocardiograms recorded with the Mason-Likar electrode configuration
    Man, Sum-Che
    Maan, Arie C.
    Kim, Eunhyo
    Draisma, Harmen H. M.
    Schalij, Martin J.
    van der Wall, Ernst E.
    Swenne, Cees A.
    [J]. JOURNAL OF ELECTROCARDIOLOGY, 2008, 41 (03) : 211 - 219
  • [5] Deep-Learning-Based Estimation of the Spatial QRS-T Angle from Reduced-Lead ECGs
    Rodrigues, Ana Santos
    Augustauskas, Rytis
    Lukosevicius, Mantas
    Laguna, Pablo
    Marozas, Vaidotas
    [J]. SENSORS, 2022, 22 (14)
  • [6] The spatial QRS-T angle in the Frank vectorcardiogram: accuracy of estimates derived from the 12-lead electrocardiogram
    Schreurs, Charlotte A.
    Algra, Annemijn M.
    Man, Sum-Che
    Cannegieter, Suzanne C.
    van der Wall, Ernst E.
    Schalij, Martin J.
    Kors, Jan A.
    Swenne, Cees A.
    [J]. JOURNAL OF ELECTROCARDIOLOGY, 2010, 43 (04) : 294 - 301
  • [7] Normal values of the ventricular gradient and QRS-T angle, derived from the pediatric electrocardiogram
    Kamphuis, Vivian P.
    Blom, Nico A.
    van Zwet, Erik W.
    Man, Sumche
    ten Harkel, Arend D. J.
    Maan, Arie C.
    Swenne, Cees A.
    [J]. JOURNAL OF ELECTROCARDIOLOGY, 2018, 51 (03) : 490 - 495
  • [8] Visual transform applications for estimating the spatial QRS-T angle from the conventional 12-lead ECG: Kors is still most Frank
    Cortez, Daniel
    Sharma, Nandita
    Devers, Christopher
    Devers, Erin
    Schlegel, Todd T.
    [J]. JOURNAL OF ELECTROCARDIOLOGY, 2014, 47 (01) : 12 - 19
  • [9] ECG-Derived QRS-T Angle Is an Independent Predictor of Sudden Cardiac Death in Patients with Type 2 Diabetes: From the SURDIAGENE Prospective Study
    Garcia, Rodrigue
    Tavernier, Marine
    Gand, Elise
    De Keizer, Joe
    Alos, Benjamin
    Bouleti, Claire
    Degand, Bruno
    Hadjadj, Samy
    Saulnier, Pierre-Jean
    [J]. DIABETES, 2022, 71
  • [10] Associations of frontal QRS-T angle with left ventricular volume and function derived from ECG-gated SPECT in patients with advanced chronic kidney disease
    Satoshi Kurisu
    Kazuhiro Nitta
    Noriaki Watanabe
    Hiroki Ikenaga
    Ken Ishibashi
    Yukihiro Fukuda
    Yukiko Nakano
    [J]. Annals of Nuclear Medicine, 2021, 35 : 662 - 668