Investigation of the MIMIC database highlighted challenges in calculating pulse arrival time for blood pressure evaluation, particularly due to the lack of signal synchronization.
Observational
The study highlights critical methodological challenges regarding signal synchronization when using the MIMIC database to evaluate cuff-less blood pressure via pulse arrival time.
Cardiovascular disease (CVD) is the number one cause of non-infectious morbidity and mortality in the world. The detection, measurement, and management of high blood pressure play an essential role in the prevention and control of CVDs. However, owing to the limitations and discomfort of traditional blood pressure (BP) detection techniques, many new cuff-less blood pressure approaches have been proposed and explored. Most of these involve arterial wave propagation theory, which is based on pulse arrival time (PAT), the time interval needed for a pulse wave to travel from the heart to some distal place on the body, such as the finger or earlobe. For this study, the Medical Information Mart for Intensive Care (MIMIC) database was used as a benchmark for PAT analysis. Many researchers who use the MIMIC database make the erroneous assumption that all the signals are synchronized. Therefore, we decided to investigate the calculation of PAT intervals in the MIMIC database and check its usefulness for evaluating BP. Our findings have important implications for the future use of the MIMIC database, especially for BP evaluation.
Liang et al. (Mon,) conducted a observational in High blood pressure. Pulse arrival time (PAT) was evaluated on Calculation of PAT intervals and usefulness for evaluating blood pressure. Investigation of the MIMIC database highlighted challenges in calculating pulse arrival time for blood pressure evaluation, particularly due to the lack of signal synchronization.
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