Blood pressure (BP) variability depicts the dynamic and continuous variations that occur in blood pressure levels over a period of time. This variability includes a wide range of BP variations, occurring over seconds or minutes (short-term variability), or over 24 hours (long-term variability). Blood pressure variability has been observed as a predictor of cardiovascular outcome. Accurate Blood Pressure measurement is vital in the prevention and treatment of cardiovascular disease. The observed correlation between as pulse arrival time and BP has led to the development of a wearable data acquisition device for BPV (Blood pressure variability) monitor, which was briefly described in this paper. While intravenous blood pressure monitoring remains the gold standard for assessing BPV, a noninvasive alternative—beat-to-beat monitoring by Finapres—is widely used. The advent of Wearable technology has gained momentum in recent times. The population has become user-friendly with such devices. Exorbitant cost of Finapres, ready availability of wearable sensors and adequate correlation of beat-to-beat blood pressure with pulse arrival time and pulse transit time have led to the development of inexpensive hardware for blood pressure variability monitoring. Pulse Arrival Time variability is observed to be consistent with past observations reported in the literature. To take care of the noise in the spectrum, Pulse Transit Time variability is being worked out. This development employing AD8232, MAX30102, TCA9548A and Arduino Uno is briefly described in this paper. Blood pressure variability, measured using PAT along with heart rate variability, was analyzed in eight control subjects and four hypertensive subjects. PAT variability had evident VLF, LF, and HF peaks in the control subjects, which mirrored the patterns noted in HRV variability. However, in the hypertensive subjects, no LF and HF components were present in HRV variability, while VLF and LF were absent in PAT variability. These findings are consistent with what has been previously reported in regard to blood pressure variability.
Author
(s) Details
CHAITALI
DESHMUKH
Biomedical Engineering Department, MGM College of Engineering
& Technology, India
GHANSHYAM
D. JINDAL
Biomedical Engineering Department, MGM College of Engineering
& Technology, India.
UTTAM
R. BAGAL
Biomedical Engineering Department, MGM College of Engineering
& Technology, India.
GAJANAN
D. NAGARE
Biomedical Engineering Department, Vidyalankar Institute of
Technology, India.
Please see the book here:- https://doi.org/10.9734/bpi/stda/v8/4990
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