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

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

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

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  1. 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

  2. Outline • Introduction • Methods • Results • Conclusions

  3. Introduction • 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.

  4. Methods • 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)

  5. Methods(Cont.)

  6. Methods(Cont.) Mean-square value:

  7. Methods(Cont.) • W*(k) must be equal to zero(*:complex conjugate)

  8. Methods(Cont.)

  9. Results • Used 100 independent sets of normallydistributed white noise with zero mean to simulate the broad-band, unpredictable AIQP. • TheAIQP was estimated under different values of q% (100%,90% and 80%) and magnitudes (AIQP l(q%) = 0–10 V).

  10. Results(Cont.)

  11. Results(Cont.)

  12. Results(Cont.)

  13. Results(Cont.)

  14. Conclusions • 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.

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