Blood pressure is a vital sign used to measure the health of human
heart. A persistent abnormal blood pressure can cause various
cardiovascular diseases and if left untreated can lead to organ damage.
Continuous and periodic blood pressure assessment is relevant for
heart disease prevention. Regardless of the BP monitoring techniques
in literature which are intermittent and cumbersome, several studies
have considered using photoplethysmogram (PPG) signal as a cuffless
and continuous measure of blood pressure. Here we propose a method
to measure systolic BP using PPG and bidirectional GRU (Gated
Recurrent Unit). The PPG signals of 219 subjects from the PPG-BP
database are pre-processed using a zero-phase IIR Butterworth low
pass filter. The pre-processed and normalized signal is then directly fed
to the deep neural network architecture. The proposed work uses PPG
signal with only 6 features along with Bi-GRU to estimate systolic BP.
Certain PPG attributes such as cardiac period, systolic time, diastolic
time, pulse area, systolic width and diastolic width are extracted from
each cycle. The performance is measured based on metrics like mean
absolute error (MAE) and standard deviation (SD). MAE of 4.56mmHg
and SD of ±6.48mmHg are obtained for SBP meeting the requirement set by the AAMI standard.
S.J. Alphonsa Salu, D. Jeraldin Auxillia
St. Xavier’s Catholic College of Engineering, India
Photoplethysmography, Systolic BP, Pulse Area, Cardiac Period, Bidirectional GRU
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| Published By :
ICTACT
Published In :
ICTACT Journal on Microelectronics
( Volume: 10 , Issue: 3 , Pages: 1839 - 1845 )
Date of Publication :
October 2024
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