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Automatic Blood Pressure Monitor Calibration Automatic Blood Pressure Monitor Calibration

Automatic Blood Pressure Monitor Calibration - PowerPoint Presentation

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Automatic Blood Pressure Monitor Calibration - PPT Presentation

Ross Hamilton Lei Qu Hanniff Mohd Nor David Lee Introduction Dr Andre Churchwell is our Sponsor Learned about the vagaries of commercial common blood pressure monitors Automatic monitors lost their accuracy over extended periods of time because of a lack of calibration ID: 725278

blood pressure flow arm pressure blood arm flow circuit monitors monitor band sphymanometer mercury experiment trials comparison accuracy null

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Slide1

Automatic Blood Pressure Monitor Calibration

Ross Hamilton

Lei Qu

Hanniff Mohd Nor

David LeeSlide2

Introduction

Dr. Andre Churchwell is our Sponsor

Learned about the vagaries of commercial common blood pressure monitors

Automatic monitors lost their accuracy over extended periods of time because of a lack of calibration

Results in a repurchase of the monitor after a certain period of time and usesSlide3

Goals

Investigate the possible variation from automatic blood pressure monitor that will cause diagnosis problems

Solve the problem of recalibration

Design a “

rezeroing

” device such as a calibration signal circuit to enhance the accuracy of the monitorsSlide4

Discrepancies recorded in the literatureSlide5

Discrepancies continuedSlide6

Conclusions from the literature

Many other literature also indicate a discrepancies between the mean measurements of the BP monitors versus the mercury

sphymanometer

(ranging from 0.1 to 2.5 mm Hg)

Thus, we can sufficiently conclude that there is a discrepancy between the two measuring devices.

However, to further complement our experiment, we have performed the similar statistic comparison ourselvesSlide7

Cause of the discrepancy

Degree of deflation of the arm band

Affect monitors true zero value

Degradation of piezoelectric resistor after usagesSlide8

Mechanism behind the BP monitor

Piezoelectric resistor

As the arm band inflates, it shuts off the blood flow in the valves of the patient’s arm

As the arm band deflates, the blood flow will restart, thus there will be pressure from blood flow to the arm band

Beginning stage of blood flow is turbulence flow, and as arm band releases, flow becomes more laminarSlide9

Mechanism Continued

Pressure goes to piezoelectric resistor which will act as a transducer and give a signal readout

Systolic pressure will be obtained at the highest variance of the pulse wave peaks

the diastolic pressure will be the lowest variance of the pulse wave peaksSlide10

Flow chartSlide11

ADC circuit schematicSlide12

Microcontroller circuit schematicSlide13

Power Source circuit schematicSlide14

Operational flow chartSlide15

The Gold StandardMercury sphymanometer

Uses no electronic transducers

Mercury is extremely pressure-sensitive

From Watson, et al, the accuracy of the mercury sphymanometer is confirmed. Slide16

Progress thus far

The fake arm experiment between the gold standard and the BP monitor

Bandpass

filter on the breadboard (picture included)Slide17

The fake arm experiment

Null hypothesis: the mean of the Omron values are equal to the mean from the

sphymanometer

Assumptions

The data are obtained from the identical sample population (generated fr4om the same BP analyzer)

The gold standard does not have drifting issuesUsed the fake arm blood pressure analyzer to generate the BP

20 trials

The paired two-tail t-test was conducted to determine the validity of the null hypothesis

P value = 6.19 x 10^-15

Null hypothesis rejected

Hypertension case also experimented with a set average BP (150/100)

P value = 1.15 x 10^-15

Null hypothesis rejectedSlide18

Conclusion

The mean of the Omron values are not equal to the mean of the

sphymanometer

We can infer from this conclusion that variation resulted from the Omron

However, the trials are only 20 so this conclusion is statistically insufficientSlide19

Constructing the circuit

Started constructing the

bandpass

filter

The resisters and capacitors will be modified through trial and error to get a desired filtration of the analog input

The circuitry was modified with the help of Dr. GallowayThe analog input will have frequency simulating the actual heart beat (ranging between 1 and 2 Hz) with a signal intensity of 5 volts

The signal will be captured using

Labview

with a sample rate of 1000 Hz for resolution purposesSlide20

Picture of the breadboardSlide21

Problems faced

The ADC element pins are separately too closely for insertion unto the breadboard

MCU programming may be complex

Running out of time so must dedicate more hoursSlide22

Future work

Add a pressure transducer to the input port

Adapt the ADC unto an artificial chip and connect it to

the filter circuit

Connect the port to the pressurizing pad

Construct the MCU unitConnect the compartmentsPerform another experiment between the gold standard and the BP monitor with greater number of trials (~300 trials)Slide23

References

Discrepancies references

de

Greeff

A,

Shennan A. Blood pressure measuring devices: ubiquitous, essential but imprecise. Expert Rev Med Devices. 2008 Sep;5(5):573-9. ReviewEllis C, Gamble G,

Hamer

A, Williams M,

Matsis

P, Elliott J, Devlin G, Richards M, White H; New Zealand Acute Coronary Syndromes (NZACS) Audit Group. Patients admitted with an acute coronary syndrome (ACS) in New Zealand in 2007: results of a second comprehensive nationwide audit and a comparison with the first audit from 2002.

Heinemann M,

Sellick

K, Rickard C, Reynolds P,

McGrail

M. Automated versus manual blood pressure measurement: a randomized crossover trial.

Int

J

Nurs

Pract

. 2008 Aug;14(4):296-302.

Lamb TS,

Thakrar

A,

Ghosh

M, Wilson MP, Wilson TW. Comparison of two

oscillometric

blood pressure monitors in subjects with

atrial

fibrillation.

Clin

Invest Med. 2010 Feb 1;33(1):E54-62.

Landgraf

J,

Wishner

SH,

Kloner

RA. Comparison of automated

oscillometric

versus

auscultatory

blood pressure measurement. Am J

Cardiol

. 2010 Aug 1;106(3):386-8.

Epub

2010 May 22.

PubMed

PMID: 20643251. [

McManus RJ,

Mant

J, Hull MR, Hobbs FD. Does changing from mercury to electronic blood pressure measurement influence recorded blood pressure? An observational study. Br J Gen

Pract

. 2003 Dec;53(497):953-6.

Misc. resources

http://instruct1.cit.cornell.edu/courses/ee476/FinalProjects/s2005/ww56_ws62/Final%20Project%20Web/index.html

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1120346/

Watson, S.; Wenzel, R. R.;

di

Matteo

, C.; Meier, B.; and

Lüscher

, T. F. (1998). "Accuracy of a new wrist cuff

oscillometric

blood pressure device". American Journal of Hypertension 11: 1469-1474 (1998).