Event Detection: Qrs-Complexes in Ecg Signals - microLab

BioMedSigProcAnaWe present the algorithm as it is described in [Tom93, Section12.5]; you might also want to consult [Ran02, Section 4.3.2]and/or study the original literature [PT85] and [HT86]. Thedescribed form of the algorithm is targeted to an implementationon a microprocessor using integer programming. In thelaboratory exercises we explore variants that might be useful forhardware implementations.The slide on the previous page 28 states that the describedPan-Tompkins algorithm is intended for discrete-time Ecg signalsthat have been obtained by sampling the true, continuoustimeEcg signal at a rate of 200 samples/sec. This is true becausethe algorithm uses “integer” filters that realize pole- andzero locations that are useful for the intended sampling rate,but become unreasonable for different sampling rates; see ourdiscussion starting on page 42.Because this subsection is quit long, we give an overviewon where you find what. The pre-processing according to theblock diagram shown on page 28 is discussed on pages 30–49;we indicate on page 50 how Pan and Tompkins implement thedecision rule.For the pre-processing stage we treat the first preprocessingblock, the bandpass filter, on pages 30 to 42. Next we discussthe derivative operator on pages 44 to 45. The squaring operatorfollows on page 46, and the final moving-window integrator isdescribed on pages 47 to 49.6 EventDet 29 2014