Influence of different representations of the oscillometric index on automatic
determination of the systolic and diastolic blood pressures
Vojko Jazbinšek, Janko Lužnik, Zvonko Trontelj Institute of Mathematics, Physics and Mechanics
Jadranska 19, 1000 Ljubljana, Slovenia vojko.jazbinsek@imfm.uni-lj.si
Introduction
• Most of automated non-invasive blood pressure – (NIBP) devices use oscillometric technique based on some empirically derived criteria applied to the so-called oscillometric index [1], which is defined as a certain
characteristic physical property of the measured arterial pressure pulses.
• The recorded data in a typical NIBP device contain the arterial pressure pulses in the cuff, superimposed on the cuff deflation.
• Some NIBP devices have also implanted microphone inside the cuff, which enables measurements of Korotkoff sounds [2], which are otherwise
listened by a stethoscope in a conventional BP measurement in the office.
• In this study we use different physical properties of recorded data to form different representations of oscillometric index.
• The aim of this study is to find out how these different representations influence on systolic (SP) and diastolic (DP) pressures determined by known algorithms, such as height (HB) and slope based (SB) methods.
1 K-G. Ng, CF .Small. Survey of automated non-invasive blood pressure monitors, Journal of Clinical Engineering; 19:452-475, 1994.
2 N.C. Korotkoff. On the subject of methods of determining blood pressure. Bull.
Imperial Mil. Med. Acad. (St. Petersburg), 11:365-367, 1905.
Measurements
• EU-project “Simulator for NIBP”
• LODE (Groningen, NL)
• Compressor for the cuff inflation and a pressure sensor built in a personal computer
• Upper arm cuff (Accoson, UK) with implanted microphone
• Simultaneous measurements with commercial automated NIBP
device OSZ4 (Welch Alyn)
Measured data – microphone
Audible part (Korotkoff) [10-40] Hz
Low frequency part [0.3-10] Hz Measured data – pressure
Pressure pulses - filter[0.3-40] Hz
Time derivative of pressure data
Overview of data obtained with NIBP device
Filtered pulses [0.3-40] Hz
Time derivative of pressure data
Audible part of microphone data
NIBP data Oscillometric index
Filtered pulses [0.3-40] Hz
Time derivative of pressure data
Audible part of pressure data
Filtered pulses [0.3-40] Hz
Time derivative of pressure data
Audible part of pressure data
Characterization of oscillometric index Exy
Algorithms for SP and DP
• Height based (HB) method
uses characteristic height ratios (SP - 0.45, DP – 0.7)
• Slope based (BS) method
uses maximum slope of the curve
• Non-monotonic curve – constraints in SB method
Evaluation of NIBP devices
Two standard protocols for evaluation of NIBP devices:
1. British Hypertension Society (BHS) – at least grade B
2. American Association for the Advancement of Medical Instrumentation (AAMI):
• Average absolute difference: I∆p| ≤ 5 mm Hg
• Standard deviation: SD ≤ 8 mm Hg
Absolute difference between standard and test device Grade ≤ 5 mm Hg ≤ 10 mm Hg ≤ 15 mm Hg
A 60 % 85 % 95 %
B 50 % 75 % 90 %
C 40 % 65 % 85 %
D otherwise
Evaluation protocol
• Modified version of AAMI and BHS protocols
min( , ) 4 max( , )
round .
5
SP DP SP DP
SP DP
V V V V
V
• Similar to BHS protocol, results were classified into grades (6)
• For every SP and DP, we found classification values VSP and VDP, and calculated combined value VSP+DP
(biased to the worse of the VSP and VDP)
• Like in AAMI protocol, we calculated I∆p|±SD (average absolute difference).
• In addition, we have also calculated ∆p ±SD (average difference),
• linear regression correlation coefficient r,
• and maximum difference ∆pm
Height based method (HB) - Average height ratios HS
xyin HD
xyfor 92 recordings
Filtered pulses [0.3-40] Hz
Time derivative of pressure data
Audible part of pressure data
Results for height based method (HB)
Type of data:
a) p –
pressure pulses (92 recordings)
b) d –
derivatives (92 recordings)
Type of envelope: min-max (p) min-cog (c) cog-max (d)
Tip of data:
a) p – pressure pulses SB with constraints (92 recordings)
b) p – pressure pulses SB without constraints (92 recordings)
c) d - derivative SB with constraints (92 recordings)
c) k - Korotkoff
SB with constraints (32 meritev)
Type of envelope: min-max (p) min-cog (c) cog-max (d)
Summary of evaluation results for SB method
Filtered pulses [0.3-40] Hz
Filtered pulses without constraints
Audible part of pressure data
Summary of evaluation results for HB method
Filtered pulses [0.3-40] Hz
Time derivative of pressure data
Audible part of pressure data
Comparison of HB and SB evaluation results for E
pp(peak-to-peak pressure pulses) envelopes
HB
SB
Linear regression Bland-Altman plot
• Study of 92 recordings performed on 23 healthy volunteers.
• Evaluation of two known algorithms, height based (HB) and
slope based (SB) methods, applied to different representations of oscillometric index Exy.
• We used modified combination of standard AAMI in BHS evaluation protocols.
• We found that HB method can be applied to envelopes that exhibit a rapid change of amplitude near DP and SP.
• Same behaviour is needed also for SB method, but additional constraints should be applied due to non-monotonic shape of envelopes (especially for SP).
• For both methods we got best results for oscillometric index formed from peak-to-peak values of pressure pulses.
