Decrease in the High Frequency QRS Components Depending on the Local Conduction Delay

Total Page:16

File Type:pdf, Size:1020Kb

Decrease in the High Frequency QRS Components Depending on the Local Conduction Delay Jpn Circ J 1998; 62: 844–848 Decrease in the High Frequency QRS Components Depending on the Local Conduction Delay Tetsu Watanabe, MD; Michiyasu Yamaki, MD; Hidetada Tachibana, MD; Isao Kubota, MD; Hitonobu Tomoike, MD The high frequency components contained in the QRS complex (HF-QRS) are a powerful indicator for the risk of sudden cardiac death. However, it is controversial whether conduction delay increases or decreases the HF- QRS. In 21 anesthetized, open-chest dogs, the right atrium was constantly paced. A cannula was inserted into the left anterior descending artery and flecainide, lidocaine or disopyramide was infused to slow the local conduc- tion. Sixty unipolar electrograms were recorded from the entire ventricular surface and were signal-averaged. Data were filtered (30–250Hz) by using fast-Fourier transform. The HF-QRS was calculated by integrating the filtered QRS signal. Activation time (AT; dV/dt minimum) was delayed and the HF-QRS was reduced in the area perfused by flecainide, lidocaine or disopyramide. The percent increase in AT closely correlated the percentage decrease in the HF-QRS; the correlation coefficients were 0.75, 0.83 and 0.76 for flecainide, lido- caine and disopyramide infusion, respectively, (p<0.001). Decrease in the HF-QRS linearly correlated with the local conduction delay. This study proved that conduction delay decreases the HF-QRS, and that the HF-QRS is a potent indicator of disturbed local conduction. (Jpn Circ J 1998; 62: 844–848) Key Words: Disopyramide; Fast-Fourier transform; Flecainide; Lidocaine; Signal averaging ate potentials, or high-frequency low-amplitude anesthetized with sodium pentobarbital (30mg/kg, iv) and signals in the terminal portion of the QRS received supplemental doses as needed. Dogs were venti- L complex, are considered to be a powerful indicator lated by a respirator with room air supplemented with for the risk of ventricular arrhythmia and sudden cardiac oxygen (3–5 L/min). The thorax was opened at the fifth death in patients with ischemic heart disease. Studies on intercostal space, then the pericardium was opened and a experimental chronic ischemia led researchers to believe pericardial cradle was made to support the heart in the that this originated in the slowed conduction.1–3 Recently, appropriate position. The sinus node was crushed, and the frequency-domain analysis has been used as a reliable and right atrium was paced at a cycle length of 400msec using quantitative tool for detecting high-frequency low-ampli- a model SEN-7203 stimulator (Nihon Koden, Tokyo, tude signals on ECG. Several reports have shown that Japan). After an intravenous bolus administration of acute4–7 or chronic myocardial ischemia8–10 does not heparin (10,000 IU), a 24-gauge plastic cannula was increase, but there is a decrease in the high frequency inserted into the left anterior descending artery (LAD) at components in the QRS complex (HF-QRS). the distal site of the second diagonal branch. The cannula However, when examining the causality of the HF-QRS, was kept open by continuous infusion of saline at 1ml/min. myocardial ischemia may be not an ideal tool, because A globe-shaped electrode array was placed on a ventricular myocardial ischemia includes complicated electrical surface for simultaneous monitoring of electrograms from changes such as the altered potential for potassium ion, and 60 epicardial sites. Each unipolar electrode consisted of anaerobic metabolism, which leads to intracellular acidifi- fine silver wire (0.2-mm diameter) sutured to the sock. The cation and an increase in cellular osmolarity.11–13 In the electrode array was 6 rows (1–6) and 10 columns (A–J). present study, we evoked a conduction delay by using All recording electrodes were referenced to the Wilson’s sodium channel blockers and examined the direct relation- central terminal, and multichannel electrograms were digi- ship between the HF-QRS and the conduction delay. The tized every millisecond using a multiplexed data process- purpose of this study was to define whether the conduction ing system (CD-G015, Chunichi Denshi, Nagoya, Japan) as delay increases or decreases the HF-QRS. described in a previous study.14 The thoracic cavity was covered with plastic wrap to prevent cooling and dehumid- ifying. Body temperature was maintained at 37–38°C. An Methods arterial line was inserted into the right femoral artery to Instrumentation continuously monitor the mean arterial pressure. The elec- Twenty-one adult mongrel dogs (weight, 12–33kg) were trocardiogram lead II and blood pressure were recorded simultaneously throughout the study on a model 2G66 (Received May 11, 1998; revised manuscript received July 21, 1998; recorder (NEC San-ei, Tokyo, Japan). accepted August 5, 1998) First Department of Internal Medicine, Yamagata University School Experimental Protocol of Medicine, Yamagata, Japan Flecainide (low dose: 10μg/kg per min; high dose: Mailing address: Tetsu Watanabe, MD, First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 100μg/kg per min, n=7), lidocaine (low dose: 0.12mg/kg Yamagata 990-9585, Japan. E-mail: [email protected] per min; high dose: 0.6mg/kg per min, n=7) or disopyra- u.ac.jp mide (low dose: 20μg/kg per min; high dose: 200μg/kg per Japanese Circulation Journal Vol.62, November 1998 Conduction Delay and High Frequency QRS Components 845 Fig1. Representative maps of activation times at control, and during low-dose and high-dose infusion of flecainide. (*)The site of ‘the earliest activation’. Arrows indicate the epicardial electrograms at the center of perfused region: lead ‘D2’ and non-perfused region: lead ‘H2’. Fig2. The HF-QRS area maps at control, and during low-dose and high-dose infusion of flecainide in the same each experiment as indicated in Fig1. Arrows indicate filtered QRS complexes at the center of the perfused region: lead ‘D2’ and non-perfused region: lead ‘H2’. Japanese Circulation Journal Vol.62, November 1998 846 WATANABE T et al. Fig3. Changes in ATs (A) and the HF-QRS (B) for each sodium channel blocker at the center of the perfused region. ATs were signifi- cantly delayed by a high-dose infu- sion of each sodium channel blocker. Low-dose disopyramide infusion significantly delayed ATs. The HF-QRS was reduced by infu- sion of each sodium channel blocker. Low-dose lidocaine and each high-dose sodium channel blocker significantly reduced the HF-QRS. AT, activation time; HF- QRS, high frequency QRS compo- nent; *p<0.05 vs control, †p<0.05 vs low dose. min, n=7) was intracoronarily infused by an infusion pump components was calculated by integrating the electrogram (model SP-100, JMS, Hiroshima, Japan). The lower dose during the QRS interval,16 which we called ‘HF-QRS’. of flecainide, disopyramide or lidocaine was 1% of the Epicardial activation of each electrogram was defined as intravenous dose in experimental study and the higher dose the minimum derivative of the QRS signal.18 The earliest was 5–10%.15 After baseline measurements, the low-dose activation measured on the cardiac surface was assigned to protocol was performed during the first 10 min, and the time zero and the activation time (AT) was determined high one was continued for the next 10 min. Epicardial from time zero to each activation, and an isochronal map electrograms were recorded 10 min after beginning the was constructed.14 Changes in AT and the HF-QRS for each low-dose infusion. When wide QRS complexes, which sodium channel blocker were measured at the center of the were produced by each sodium channel blockade, or spon- perfused region. taneous ventricular tachyarrhythmias were recognized, electrograms were immediately recorded. Statistical Analysis Quantitative data are reported as mean±SE. Statistical Analysis of Multichannel Epicardial Electrograms analysis was performed with the Wilcoxon signed-ranks Electrograms were averaged to cancel random noise by test. A confidence level of 95% was considered statistically means of a SUN 4/2 microcomputer (SUN Microsystems, significant. Mountain View, CA, USA) as previously reported.14 The cross-correlation function was used to reject ectopic beats and artifacts (cross-correlation coefficients below a thresh- Results old value: 0.95).16 The number of beats averaged was from Effects of Sodium Channel Blockers on AT and the HF- 50 to 56 (mean, 54). The signal-averaged ECG data were QRS Area stored on a magneto-optical disk for later analysis. A root The 21 dogs were divided into 3 groups: 7 were given mean square (RMS) voltage based on all 60 leads was flecainide, 7 lidocaine, 7 disopyramide. Fig1 illustrates the plotted to determine both the onset and offset of QRS. The cardiac surface distribution of the ATs before (control) and flat portion of the PR segment was defined as the zero after flecainide infusion (low and high dose of flecainide) level. The RMS values were computed from the averaged in a representative experiment with an asterisk indicating (but not filtered) ECG wave forms. the site of ‘the earliest activation’. The delay in ATs was For analysis with the fast-Fourier transform algorithm not apparent on the maps at control or during low-dose (FFT), ECG data were padded with zeros for a total 1024 infusion of flecainide. However, a marked delay in ATs points. A time series f(t) representing the ECG complex was seen in the perfused area during high-dose infusion. was subjected to a 1,024-point FFT analysis to produce a The configuration of the electrogram showed a widened frequency series F(w). A product of F(w) with a transfer QRS complex and an increased R wave in the perfused function, H(w), was computed to produce a filtered wave area. G(w) in a frequency domain.
Recommended publications
  • Acute Coronary Syndrome
    Technology Assessment Systematic Review of ECG-based Signal Analysis Technologies for Evaluating Patients With Acute Coronary Syndrome Technology Assessment Program Prepared for: Agency for Healthcare Research and Quality October 2011 540 Gaither Road Rockville, Maryland 20850 Systematic Review of ECG-based Signal Analysis Technologies for Evaluating Patients With Acute Coronary Syndrome Technology Assessment Report Project ID: CRDD0311 October 2011 Duke Evidence-based Practice Center Remy R. Coeytaux, M.D., Ph.D. Philip J. Leisy, B.S. Galen S. Wagner, M.D. Amanda J. McBroom, Ph.D. Cynthia L. Green, Ph.D. Liz Wing, M.A. R. Julian Irvine, M.C.M. Gillian D. Sanders, Ph.D. DRAFT – Not for citation or dissemination This draft technology assessment is distributed solely for the purpose of peer review and/or discussion at the MedCAC meeting. It has not been otherwise disseminated by AHRQ. It does not represent and should not be construed to represent an AHRQ determination or policy. This report is based on research conducted by the Duke Evidence-based Practice Center under contract to the Agency for Healthcare Research and Quality (AHRQ), Rockville, MD (Contract No. HHSA 290-2007-10066 I). The findings and conclusions in this document are those of the authors, who are responsible for its contents. The findings and conclusions do not necessarily represent the views of AHRQ. Therefore, no statement in this report should be construed as an official position of the Agency for Healthcare Research and Quality or of the U.S. Department of Health and Human Services. None of the investigators has any affiliations or financial involvement related to the material presented in this report.
    [Show full text]
  • Prof. Jonathan S Steinberg
    Revised June 2006 CURRICULUM VITAE PERSONAL DATA Name: Jonathan S. Steinberg, M.D. Business Address: St. Luke's/Roosevelt 1111 Amsterdam Avenue New York, NY 10025 Home Address: 268 Underhill Road South Orange, NJ 07079 Social Security No. 092-44-3548 Birthdate: March 28, 1956 Birthplace: New York Marital Status: Married, Two Children Citizenship: USA ACADEMIC TRAINING 9/72 – 6/76 AB - Queens College of the City University of New York 9/76 – 6/80 MD - Mt. Sinai School of Medicine, New York, NY TRAINEESHIP 7/80 – 6/81 Medical Intern New York University - New York VA Medical Center New York, NY 7/81 – 6/83 Medical Resident New York University - New York VA Medical Center New York 7/83 – 6/84 Chief Medical Resident New York University New York VA Medical Center New York, NY TRAINEESHIP (cont’d) 7/84 – 6/86 Clinical Cardiology Fellow George Washington University Medical Center, Washington, DC 7/86 – 6/88 Fellowship - Electrophysiology Columbia - Presbyterian Medical Center, New York, NY LICENSURE New York - 147162 New Jersey - MA57755 BOARD CERTIFICATION 1980 Diplomate, National Board of Medical Examiners 1983 Diplomate, American Board of Internal Medicine 1987 Diplomate, Subspecialty of Cardiovascular Diseases 1992 Diplomate, Clinical Electrophysiology PROFESSIONAL ORGANIZATIONS AND SOCIETIES Fellow - American College of Cardiology Fellow - American College of Physicians Fellow - Council on Clinical Cardiology, American Heart Association Member - North American Society of Pacing & Electrophysiology Member - International Society of Holter
    [Show full text]
  • AE Berezin, VA Vizir, OV Demidenko
    MINISTRY OF HEALTH OF UKRAINE ZAPORIZHZHIA STATE MEDICAL UNIVERSITY Department Internal Medicine no2 A. E. Berezin, V. A. Vizir, O. V. Demidenko CARDIOVASCULAR DISEASE («INTERNAL MEDICINE» MODULE 2) PART 1 The executive task force for students of medical faculty of 5th cource Zaporizhzhia 2018 UDC 616.12(075.8) B45 Ratified on meeting of the Central methodical committee of Zaporizhzhia State Medical University and it is recommended for the use in educational process for foreign students. (Protocol no 5 from 24 may 2018 ) Reviewers: V. V. Syvolap - MD, PhD, professor, Head of Department of Propedeutics of In- ternal Diseases with the Course of Patients’ Care, Zaporizhzhia State Medical Uni- versity; O. V. Kraydashenko - MD, PhD, professor, Head of Department of Clinical Pharmacology, Pharmacy and Pharmacotherapy with the Course of Cosmetology, Zaporizhzhia State Medical University. Authors: A. E. Berezin - MD, PhD, professor, Department of Internal Diseases 2; V. A. Vizir - MD, PhD, professor, Department of Internal Diseases 2; O. V. Demidenko -MD, PhD, Head of Department of Internal Diseases 2. Berezin A. E. B45 Cardiovascular diseases («Internal Medicine». Modul 2). Part 1=Серцево-судинні захворювання («Внутрішня медицина». Модуль 2). Ч. 1 : The executive task force for students of 5th course of medical faculty / A. E. Berezin, V. A. Vizir, O. V. Demidenko. – Zaporizhzhia : ZSMU, 2018. – 220 p. The executive task force is provided for students of 5th courses of medical faculties for helping to study of some topics in the fields of cardiovascular diseases incorporated into the discipline «Internal Medicine». There is the information about the most impor- tant topics regarding diagnosis of cardiac diseases.
    [Show full text]
  • High-Frequency Signature of the QRS Complex Across Ischemia Quantified by QRS Slopes
    High-Frequency Signature of the QRS Complex across Ischemia Quantified by QRS Slopes E Pueyo, A Arciniega, P Laguna Comm Techn Group, Aragon Institute of Eng Research, University of Zaragoza, Spain Abstract specificity values. The reason for this could be in the hy- pothesis itself or in the way the high-frequency compo- In this study two new indexes that measure the upward nents are usually quantified by high-pass filtering of the and downward slopes of the QRS complex are proposed to narrow transient QRS signal. The filtering introduces leak- quantify variations in the depolarization period due to in- age in frequency and smearing in time that can mask the duced ischemia during Percutaneous Transluminal Coro- very nature of the localized HF-QRS features. To further nary Angioplasty. Our results show that QRS slopes turn investigate on this we hypothesize that if the decrease in out to be substantially less steep during artery occlusion, the HF-QRS components is due to a reduction of the con- being this effect more manifested for the downward slope duction velocity in the region of ischemia [4], such a phe- than for the upward one. Comparing the proposed indexes nomenon could be also quantified by measuring the up- with a previously reported index that quantifies the energy ward and downward slopes of the QRS complex. of the high-frequency QRS signal (150-250 Hz), it is shown To test our hypothesis, we analyze recordings of pa- that the ability of the slope indexes for ischemia detection tients before and during prolonged Percutaneous Translu- is clearly superior.
    [Show full text]
  • "Electrocardiogram (ECG) Signal Processing". In: Encyclopedia Of
    ELECTROCARDIOGRAM (ECG) SIGNAL ECG Noise QRS Wave PROCESSING filtering detection delineation LEIF SO¨ RNMO Lund University Sweden Data Storage or PABLO LAGUNA compression transmission Zaragoza University Spain Figure 1. Algorithms for basic ECG signal processing. The timing information produced by the QRS detector may be fed to the blocks for noise filtering and data compression (indicated by 1. INTRODUCTION gray arrows) to improve their respective performance. The output of the upper branch is the conditioned ECG signal and related temporal information, including the occurrence time of each Signal processing today is performed in the vast majority heartbeat and the onset and end of each wave. of systems for ECG analysis and interpretation. The objective of ECG signal processing is manifold and com- prises the improvement of measurement accuracy and operate in sequential order, information on the occurrence reproducibility (when compared with manual measure- time of a heartbeat, as produced by the QRS detector, is ments) and the extraction of information not readily sometimes incorporated into the other algorithms to im- available from the signal through visual assessment. In prove performance. The complexity of each algorithm many situations, the ECG is recorded during ambulatory varies from application to application so that, for example, or strenuous conditions such that the signal is corrupted noise filtering performed in ambulatory monitoring is by different types of noise, sometimes originating from much more sophisticated than that
    [Show full text]
  • Adjuncts to the Conventional 12-Lead ECG: Assessment of High-Frequency QRS Components and Additional Leads
    Adjuncts to the Conventional 12-Lead ECG: Assessment of High-Frequency QRS Components and Additional Leads Trägårdh, Elin 2007 Link to publication Citation for published version (APA): Trägårdh, E. (2007). Adjuncts to the Conventional 12-Lead ECG: Assessment of High-Frequency QRS Components and Additional Leads. Department of Clinical Physiology, Lund University. Total number of authors: 1 General rights Unless other specific re-use rights are stated the following general rights apply: Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Read more about Creative commons licenses: https://creativecommons.org/licenses/ Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. LUND UNIVERSITY PO Box 117 221 00 Lund +46 46-222 00 00 Lund University, Faculty of Medicine Doctoral Dissertation Series 2007:22 Adjuncts to the Conventional 12-Lead ECG Assessment of High-Frequency QRS Components and Additional Leads ELIN TRÄGÅRDH, MD Doctoral Thesis 2007 Department of Clinical Physiology Lund University, Sweden Faculty opponent Professor Paul Kligfield, Cornell University, New York, NY, USA The public defense of this thesis will, with due permission from the Faculty of Medicine at Lund University, take place in Föreläsningssal 1, Lund University Hospital, on Monday, 5 February 2007, at 13.15.
    [Show full text]
  • AHA/ACC/HRS Scientific Statement
    AHA/ACC/HRS Scientific Statement Recommendations for the Standardization and Interpretation of the Electrocardiogram Part I: The Electrocardiogram and Its Technology A Scientific Statement From the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society Endorsed by the International Society for Computerized Electrocardiology Paul Kligfield, MD, FAHA, FACC; Leonard S. Gettes, MD, FAHA, FACC; James J. Bailey, MD; Rory Childers, MD; Barbara J. Deal, MD, FACC; E. William Hancock, MD, FACC; Downloaded from Gerard van Herpen, MD, PhD; Jan A. Kors, PhD; Peter Macfarlane, DSc; David M. Mirvis, MD, FAHA; Olle Pahlm, MD, PhD; Pentti Rautaharju, MD, PhD; Galen S. Wagner, MD Abstract—This statement examines the relation of the resting ECG to its technology. Its purpose is to foster understanding of how the modern ECG is derived and displayed and to establish standards that will improve the accuracy and http://circ.ahajournals.org/ usefulness of the ECG in practice. Derivation of representative waveforms and measurements based on global intervals are described. Special emphasis is placed on digital signal acquisition and computer-based signal processing, which provide automated measurements that lead to computer-generated diagnostic statements. Lead placement, recording methods, and waveform presentation are reviewed. Throughout the statement, recommendations for ECG standards are placed in context of the clinical implications
    [Show full text]
  • Separation of the Electromyographic from the Electrocardiographic Signals and Vice Versa. a Topical Review of the Dynamic Procedure
    INT. J. BIOAUTOMATION, 2020, 24(3), 289-317 doi: 10.7546/ijba.2020.24.3.000744 Separation of the Electromyographic from the Electrocardiographic Signals and Vice Versa. A Topical Review of the Dynamic Procedure Ivaylo Christov1*, Atanas Gotchev2, Giovanni Bortolan3, Tatyana Neycheva1, Rositsa Raikova1, Ramun Schmid4 1Institute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences, Sofia, Bulgaria E-mails: [email protected], [email protected], [email protected] 2Tampere University of Technology Tampere, Finland E-mail: [email protected] 3Institute of Neuroscience – National Research Council IN-CNR, Padova, Italy E-mail: [email protected] 4Signal Processing, Schiller AG Baar, Switzerland E-mail: [email protected] *Corresponding author Received: November 20, 2019 Accepted: March 26, 2020 Published: September 30, 2020 Abstract: Electrocardiographic (ECG) and electromyographic (EMG) signals are inevitably and simultaneously recorded from the same electrodes and are respectively useful signal and noise in electrocardiography, and vice versa in electromyography. The frequency domains of the two signals overlap, making it difficult to filter the noise without distortion of the useful signal. An original ‘dynamic method’ for separation of the two signals was created. In a series of publications that began in 1999 with filtering of EMG noise from ECG signal, we have described the method and have made a number of improvements such as noise analysis and automatic on/off triggering in presence/absence of noise, online application, and tuning the parameters, to fulfill the last filtering recommendations of the American Heart Association. No matter if the Dynamic procedure is to be used in electrocardiography or in electromyography, the method contains the following: (i) Evaluation of the frequency bands of the ECG signal; (ii) filtering (suppression) of the EMG signal by dynamic change of the size of the filtering window for maximal preservation of the morphology of the ECG waves.
    [Show full text]
  • QRS Complex Detection and Analysis of Cardiovascular Abnormalities: a Review
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Directory of Open Access Journals INT. J. BIOAUTOMATION, 2014, 18(3), 181-194 QRS Complex Detection and Analysis of Cardiovascular Abnormalities: A Review 1* 2 Akash Kumar Bhoi , Karma Sonam Sherpa 1Department of Applied Electronics & Instrumentation Engineering Sikkim Manipal Institute of Technology Majhitar, India E-mail: [email protected] 2Department of Electrical & Electronics Engineering Sikkim Manipal Institute of Technology Majhitar, India E-mail: [email protected] Received: February 25, 2014 Accepted: May 31, 2014 Published: September 30, 2014 Abstract: The ability to evaluate various Electrocardiogram (ECG) waveforms is an important skill for many health care professionals including nurses, doctors, and medical assistants. The QRS complex is a vital wave in any ECG beat. It corresponds to the depolarization of ventricles. The duration, the amplitude and the complex QRS morphology are used for the purpose of cardiac arrhythmias diagnosis, conduction abnormalities, ventricular hypertrophy, myocardial infarction, electrolyte derangements etc. In this review, the different algorithms and methods for QRS complex detection have been discussed. Moreover, this review conceptualizes the challenge by discussing the effect of QRS complex on various critical cardiovascular conditions. Keywords: QRS complex, Cardiac arrhythmia, Conduction abnormalities, Ventricular hypertrophy, Myocardial infarction. Introduction QRS complex is the most prominent feature in the Electrocardiogram (ECG) signal and corresponds to the ventricular excitation [26]. The importance of QRS detection results from the wide use of the timing information of this component, e.g., in heart rate variability analysis, ECG classification, and ECG compression. In most cases, the temporal location of the R-wave is taken as the location of the QRS complex [23].
    [Show full text]
  • Fast Fourier Transformation of the Entire Low Amplitude Late QRS Potential to Predict Ventricular Tachycardia
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JACC Vol. 14, No. 7 1731 December 1989:173l-l0 ELECTROPHYSIOLOGIC STUDIES Fast Fourier Transformation of the Entire Low Amplitude Late QRS Potential to Predict Ventricular Tachycardia DAN L. PIERCE, MD, ARTHUR R. EASLEY, JR., MD, FACC, JOHN R. WINDLE, MD, FACC, TOBY R. ENGEL, MD, FACC Omaha, Nebraska Signal-averaged electrocardiograms (X, Y and Z leads) longer high frequency terminal signals <40 PV (p < were acquired from 24 patients with coronary artery dis- 0.0004), but not significantly lower voltage in the last 40 ms. ease and recurrent ventricular tachycardia, 24 control The most useful temporal domain measurement was high patients with coronary artery disease and 23 normal sub- frequency QRS duration (if 2120 ms, odds ratio = 8.2). jects to assess the discriminant value of fast Fourier trans- Patients with ventricular tachycardia had increased high formation of the entire late potential period of the QRS frequency spectral areas (p < 0.0002) in the late potential, complex. Analysis of the vector magnitude in the temporal and the percent high frequency was especially increased domain (25 to 250 Hz bandpass filters) measured high (p = 0.0000; if percent high frequency ?3.1%, odds ratio frequency QRS duration, the duration of terminal signals = 18.4). <40 PV and the root mean square voltage of the last 40 ms. The odds ratio and the area under the receiver operating Late potentials were defined as terminal signals >25 Hz characteristic curve were both greater for percent high that were <40 pV.
    [Show full text]
  • Ventricular Dyssynchrony Assessment Using Ultra-High Frequency ECG Technique
    J Interv Card Electrophysiol (2017) 49:245–254 DOI 10.1007/s10840-017-0268-0 MULTIMEDIA REPORT Ventricular dyssynchrony assessment using ultra-high frequency ECG technique Pavel Jurak1 & Josef Halamek1,2 & Jaroslav Meluzin2,3 & Filip Plesinger 1 & Tereza Postranecka2 & Jolana Lipoldova2,3 & Miroslav Novak3 & Vlastimil Vondra1,2 & Ivo Viscor1 & Ladislav Soukup2 & Petr Klimes1,2 & Petr Vesely2 & Josef Sumbera2,3 & Karel Zeman2,3 & Roshini S. Asirvatham4 & Jason Tri4 & Samuel J. Asirvatham5,6 & Pavel Leinveber2 Received: 14 October 2016 /Accepted: 20 June 2017 /Published online: 10 July 2017 # The Author(s) 2017. This article is an open access publication Abstract Results An electrical UHFQRS maps describe the ventricular Purpose The aim of this proof-of-concept study is to intro- dyssynchrony distribution in resolution of milliseconds and duce new high-dynamic ECG technique with potential to de- correlate with strain rate results obtained by speckle tracking tect temporal-spatial distribution of ventricular electrical de- echocardiography. The effect of biventricular stimulation is polarization and to assess the level of ventricular demonstrated by the UHFQRS morphology and by the dyssynchrony. UHFDYS descriptor in selected examples. Methods 5-kHz 12-lead ECG data was collected. The ampli- Conclusions UHFQRS offers a new and simple technique for tude envelopes of the QRS were computed in an ultra-high assessing electrical activation patterns in ventricular frequency band of 500–1000 Hz and were averaged dyssynchrony with a temporal-spatial resolution that cannot (UHFQRS). UHFQRS V lead maps were compiled, and nu- be obtained by processing standard surface ECG. The main merical descriptor identifying ventricular dyssynchrony clinical potential of UHFQRS lies in the identification of dif- (UHFDYS) was detected.
    [Show full text]
  • Background the 12-Lead Electrocardiogram (ECG) Is a Pivotal Clinical Investigation for Evaluations of Disorders of Myocardial Electrophysiology and Function
    POTENTIAL UTILITY OF CHANGES IN ENTROPY AS AN ADJUNCT TO THE ELECTROCARDIOGRAPHY DIAGNOSIS OF REVERSIBLE MYOCARDIAL ISCHAEMIA Master Degree of Medical Science By JINLIN ZHAO In Health Science at the University of Adelaide And Cardiology Unit at the Queen Elizabeth Hospital August 2007 1 TABLE OF CONTENTS TABLE OF CONTENTS………………………………………………….2 ABSTRACT OF THESIS…………………………………………………5 LIST OF ABBREVIATIONS……………………………………………..8 STATEMENT………………………………………………………….....10 ACKNOWLEDGEMENT…………………………………………….....11 CHAPTER 1 Introduction 1.1 Ischemic Heart Disease (IHD)……………………………………........13 1.1.1 Pathophysiology………………………………………………13 1.1.2 Causes of IHD………………………………………………...15 1.1.3 Epidemiology of IHD………………………………………....16 1.1.4 Treatment of IHD…………………………………………......18 1.1.4.1 Management of acute anginal episodes……………...18 1.1.4.2 Prophylactic treatment for IHD……………………...18 1.1.4.3 Agents potentially improving outcomes…………......20 1.1.4.4 Revascularization ……………………………………21 1.1.4.4.1 Percutaneous coronary intervation………….21 1.1.4.4.2 Coronary artery bypass grafting…………….22 1.2 Electrophysiology of Myocardial Infarction: Cellular Physiology……22 1.2.1 Cellular membrane potentials…………………………………22 1.2.2 Cardiac cell potentials………………………………………...25 1.2.3 “Current injury” in myocardial ischemia…………………......28 1.3 Diagnosis of IHD………………………………………………………30 1.3.1 Clinical history/clinical examination…………………………30 1.3.2 Electrocardiography…………………………………………..31 2 1.3.2.1 Electrocardiography detection of acute myocardial infarction and/or ischemia………………………………........31
    [Show full text]