The Effects Of Ischemia On The Estimation Accuracy Of A Reduced Lead System - Daniel Guldenring
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Transcript of The Effects Of Ischemia On The Estimation Accuracy Of A Reduced Lead System - Daniel Guldenring
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THE EFFECTS OF ISCHEMIA ON THE ESTIMATION ACCURACY OF
A REDUCED LEAD SYSTEM
D Güldenring1, DD Finlay1, CD Nugent1, MP Donnelly1
1 1 University of Ulster, Belfast, United Kingdom
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ARE 10 ELECTRODES TOO MUCH? The 12 lead ECG format is familiar to medical personal
throughout disciplines (Fischer et al. 1998; Lin Haiping et al. 2008)
The 12 lead ECG provides a detailed picture of the heart´s electrical activity
The 12 lead ECG requires the attachment of 10 Electrodes
There is a demand for electrocardiographic systems with less and/or different recording sites Access to the precordium (defibrillation, resuscitation,
echocardiography) (Feild et al. 2008; Nelwan et al. 2000)
Easy identifiable electrode locations (Feldman et al. 1997)
Reduction in costs for consumables (electrodes) (Feild et al. 2008)
Simplified maintenance for continuous monitoring (Drew et al. 2004)
Reduced lead systems aim to address this demand
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COMMERCIAL REDUCED LEAD SYSTEMSBASIS LEADS
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TruST
#
Dräger Medical
EASI
Philips Medical Systems
12RL
GE Medical Systems Information Technologies
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LEAD TRANSFORMATIONS A non recorded lead (target
lead) is typically estimated (derived) by a weighted sum of all recorded leads (basis leads) (Feild et al. 2008)
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Two different concepts for optimisation of weights a1 to a4
exist• Optimised for one specific patient (patient specific weights)
(Nelwan et al. 2004)
• Optimised over several patients of a cohort (generalised weights) (Nelwan et al. 2004)
dV3(t)= a1 * I(t) +a2 * II(t) +a3* V1(t) +a4*V5(t)
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AIM
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Higher estimation accuracy has been reported for PS weights (Nelwan et al. 2000)
Negative impact of ischemia on the estimation accuracy of RLS has previously been identified (Feild et al. 2008; Nelwan et al. 2008)
However, no detailed assessment of the location of the ischemic event and its impact on the estimation accuracy of PS derived target leads has been reported.
In this study, we assesses how different ischemic events impact on the similarity between derived and recorded STT segments diagnostic classification
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ECGSIM MODEL
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Geometry of torso model is defined by 300 nodes
Geometry of cardiac model is
defined by 257 nodes
Ischemic events were simulated by• delay of depolarisation time by 15ms
• reduction of action potential
duration to 80% of normal value
• reduction of transmembrane
amplitude to 80% of normal value
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ISCHEMIC EVENTS
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Ischemic Event
#
Ventricular segments
1 1
2 10
3 1&2&10
4 1&2&3&4&10
5 1&2&3&4
6 1&3&4&10
…
25 9&10&11&12&14&15&17
1 1
3 1&2&10
6 1&3&4&10
10 left ventricular segments are after Galeotti et al. [11]
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WAVEFORM SIMILARITY ASSESSMENT
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ECGSIM
PS weights
basis leads
GN weights
target leads
PSRMSE
GNRMSE
basis leads
PS derived target leads
GN derived target leads
Assessment of waveform similarity
• by RMSE between derived and actual target leads
• for 25 simulated ischemic events
• over STT segment
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RESULTS -WAVEFORM SIMILARITY
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Simulated ischemic events increase RMSE of PS derived target to a level that is comparable to that obtained by GN derived target leads.
RMSE values for target leads V2, V4 and V6 show similar overall profile. However, the order of the ischemic events on the x-axis and their corresponding RMSE values does differ.
RMSE of PS derived V3 RMSE of GN derived V3
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DIAGNOSTIC CLASSIFICATION
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PS derived target leads
GN derived target leadsECGSIM
PS weightsbasis leads
GN weights
12-lead ECG
AHA criteria
basis leads
PS derived 12-lead ECG
AHA criteria
GN derived 12-lead ECG
AHA criteria
Diagnostic classification• of (PS / GN) derived and actual 12-lead ECG
• based on AHA criteria for acute myocardial ischemia (Thygesen et al. 2007)
• search for ischemic events detected on actual 12-lead ECG and missed on (PS/GN) derived 12-lead ECG
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RESULTS –DIAGNOSTIC CLASSIFICATION
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Ischemic events identified by AHA criteria for acute myocardial ischemia (Thygesen et al. 2007)
• identified by recorded 12 lead ECGs
• missed by derived (PS & GN) 12 lead ECGs
Derived ECGs missed the AHA criteria only marginally short• would be obvious human observer
• may be not detected by computerised algorithm
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GN derived
EXAMPLE OF MISSED ISCHEMIC EVENT #1
derived lead (ischemia present)
simulated lead (ischemia present)simulated lead (no ischemia present)
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EXAMPLE OF MISSED ISCHEMIC EVENT #1
derived lead (ischemia present)
simulated lead (ischemia present)simulated lead (no ischemia present)
25mm/s; 10mm/mV
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CONCLUSION
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Our simulations indicate• In absence of ischemic events PS derived leads are superior
to GN derived ones
• Superiority of PS approach is largely compromised in the presence of ischemic events
Findings raise questions about the superiority of PS approach used for continuous monitoring
Findings indicate the importance of evaluation of such systems on data that reflects pathological changes
Follow-up research based on real patient data is currently under way
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REFERENCESS. D. Fisher, A. K. Loeffler, C. L. Green, N. M. Wildermann, J. E. Pope and M. W. Krucoff, "Device implementation, validation, and application assessment of two continuous 12-lead ECG monitors during percutaneous transluminal coronary angioplasty: Description of the validation method and implications for clinical trials," J. Electrocardiol., vol. 30, pp. 149-154, 1998.
Lin Haiping and Xiang Kui, "T-Wave Alternans Analysis in Portable ECG Monitor," Computational Intelligence and Industrial Application 2008, 2008, pp. 710-713.
D. Q. Feild, S. H. Zhou, E. D. Helfenbein, R. E. Gregg and J. M. Lindauer, "Technical challenges and future directions in lead reconstruction for reduced-lead systems," J. Electrocardiol., vol. 41, pp. 466-473, 12, 2008.
S. P. Nelwan, J. A. Kors and S. H. Meij, "Minimal lead sets for reconstruction of 12-lead electrocardiograms," J. Electrocardiol., vol. 33, pp. 163-166, 2000.
C. L. Feldman, G. MacCallum and L. H. Hartley, "Comparison of the standard ECG with the EASIcardiogram for ischemia detection during exercise monitoring," in Computers in Cardiology 1997, 1997, pp. 343-345.
B. J. Drew, R. M. Califf, M. Funk, E. S. Kaufman, M. W. Krucoff, M. M. Laks, P. W. Macfarlane, C. Sommargren, S. Swiryn, G. F. Van Hare, American Heart Association and Councils on Cardiovascular Nursing, Clinical Cardiology,and Cardiovascular Disease in the Young, "Practice standards for electrocardiographic monitoring in hospital settings: an American Heart Association scientific statement from the Councils on Cardiovascular Nursing, Clinical Cardiology, and Cardiovascular Disease in the Young: endorsed by the International Society of Computerized Electrocardiology and the American Association of Critical-Care Nurses " Circulation, vol. 110, pp. 2721-2746, Oct 26, 2004.
S. P. Nelwan, S. W. Crater, C. L. Green, “Assessment of derived 12-lead electrocardiograms using general and patient-specific reconstruction strategies at rest and during transient myocardial ischemia,“ Am. J. Cardiol., vol. 94, pp. 1529-1533, 2004.
S. P. Nelwan , J. A. Kors, S. W. Crater, S. H. Meij, T. B. van Dam, M. L. Simoons, et al. “Simultaneous comparison of 3 derived 12-lead electrocardiograms with standard electrocardiogram at rest and during percutaneous coronary occlusion,” J. Electrocardiol., vol. 41, pp.230-237, 2008.
A. van Oosterom ,T. F. Oostendrop, “ECGSIM: an interactive tool for studying the genesis of QRST waveforms,” Heart, vol. 90, pp. 165-168, 2004.
S. P. Nelwan, “Evaluation of 12-Lead Electrocardiogram Reconstruction Methods for Patient Monitoring,” Ph.D. dissertation, Erasmus MC, Rotterdam, The Netherlands, 2005.
L. Galeotti, D. G. Strauss, J. F. Ubachs, O. Pahlm, E. Heiberg, “Development of an automated method for display of ischemic myocardium from simulated electrocardiograms,” J. Electrocardiol., vol. 42, pp. 204-212, 2009.
K. Thygesen, J. S. Alpert, H. D. White, “Joint ESC/ACCF/AHA/WHF Task Force for the Redefinition of Myocardial Infarction,” Eur. Heart J., vol. 28, pp. 2525-2538, 2007.
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QUESTIONS?
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WEIGHTS
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ECGSIM(van Oosterom et al.
2004)
normal 12 lead ECG OLS
regression
PSweights
GN weights (Nelwan 2005)
OLSregression
12 lead ECG
1242 subjects
dV3(t)= a1 * I(t) +a2 * II(t) +a3* V2(t) +a4*V5(t)
A non recorded lead (target lead) is typically estimated (derived) by a weighted sum of all recorded leads (basis leads) (Feild et al. 2008)
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GN derived
EXAMPLE OF MISSED ISCHEMIC EVENT #6
derived lead (ischemia present)
simulated lead (ischemia present)simulated lead (no ischemia present)
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LIMITATIONS
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Findings solely based on simulations• Further research on real patient data is required
Simulations are limited in that• Only 25 ischemic events have been simulated
• Only one torso and heart geometry was used
• Severity of simulated ischemia was not varied