Zf. Elghazzawi et al., ALGORITHM TO IDENTIFY COMPONENTS OF ARTERIAL BLOOD-PRESSURE SIGNALS DURING USE OF AN INTRAAORTIC BALLOON PUMP, Journal of clinical monitoring, 9(4), 1993, pp. 297-308
Existing bedside cardiovascular monitors often inaccurately measure ar
terial blood pressure during intra-aortic balloon pump (IABP) assist.
We have developed an algorithm that correctly identifies features of a
rterial pressure waveforms in the presence of IABP. The algorithm is a
daptive, functions in real-time, and uses information from the electro
cardiographic (ECG) and arterial blood pressure signals to extract fea
tures and numeric values from the arterial blood pressure waveform. In
its current form, it requires reliable ECG beat detection and was not
intended to operate under conditions of extremely poor balloon timing
. The algorithm was evaluated by an expert (P.F-C.) on a limited data
set, which consisted of 12 1-minute epochs of data recorded from 6 int
ensive care unit patients. A criterion for selection of patients was t
hat the ECG beat detector could detect ECG beats correctly from the wa
veforms. The overall sensitivity and positive predictivity for beat de
tection were 94.04% and 100%, respectively. For feature identification
, the overall sensitivity was greater than 89%, positive predictivity
was 100%, and the false-positive rate was 0%. The performance measures
may be biased by the criteria for patient selection. This approach to
identifying waveform features during IABP improves the accuracy of me
asurements. The utility of using 2 sources of information to improve m
easurement accuracy has been demonstrated and should be applicable to
other physiologic signal-processing applications.