Chun-Cheng Lin

Computers in Biology and Medicine 40(2010)643-649 , ELSEVIER

Presenter Chia-Cheng Chen

Introduction Methods Results Conclusions

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.

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)

1

0

)()()()()(dM

i

inxiwnwnxn

})()({})({2

2ndndEneE

)()()(e ndndn

Mean-square value:

W*(k) must be equal to zero(*:complex conjugate)

)()}(*)({ ikrknxinxE x

)()}(*)(d{ krknxnE dx

)()()(1

0

krikriw dx

M

ix

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).

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.