chun-cheng lin computers in biology and medicine 40(2010)643-649 , elsevier
DESCRIPTION
Analysis of unpredictable components within QRS complex using a finite-impulse-response prediction model for the diagnosis of patients with ventricular tachycardia. Chun-Cheng Lin Computers in Biology and Medicine 40(2010)643-649 , ELSEVIER. Presenter Chia-Cheng Chen. Outline. Introduction - PowerPoint PPT PresentationTRANSCRIPT
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Chun-Cheng Lin
Computers in Biology and Medicine 40(2010)643-649 , ELSEVIER
Presenter Chia-Cheng Chen
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Introduction Methods Results Conclusions
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Proposes a finite-impulse-response (FIR) prediction model to analyze the unpredictable intra-QRS potentials (UIQP) for identifying ventricular tachycardia patients with high-risk ventricular arrhythmias.
Mean UIQP-to-QRS ratios of VT patients in leads X, Y and Z were significantly larger than those of the normal subjects.
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Materials◦ Group I (the normal group) consisted of 42 normal
Taiwanese (20 men and 22 women, aged 58±14 years old)
◦ Group II (the VT group) consisted of 30 patients (15 men and 15 women, aged 63±16 years old)
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1
0
)()()()()(dM
i
inxiwnwnxn
})()({})({2
2ndndEneE
)()()(e ndndn
Mean-square value:
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W*(k) must be equal to zero(*:complex conjugate)
)()}(*)({ ikrknxinxE x
)()}(*)(d{ krknxnE dx
)()()(1
0
krikriw dx
M
ix
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Used 100 independent sets of normally distributed white noise with zero mean to simulate the broad-band, unpredictable AIQP.
The AIQP was estimated under different values of q% (100%,90% and 80%) and magnitudes (AIQP l(q%) = 0–10 V).
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The UIQP, originating from the signals with sudden slope changes, can be detected as the slope changes at the slope discontinuities, using the FIR prediction modeling technique.