Non‐invasive measurement of blood pressure waveform based on spatiotemporal multi‐dimensional pulse waves

Abstract

Continuous monitoring of blood pressure (BP) waveform is essential for the prevention and diagnosis of cardiovascular diseases because it contains rich information. A vision‐based non‐invasive measurement method of BP waveform was proposed in this work. A binocular vision pulse acquisition system was utilized to collect continuous pulse images in a predetermined area of radial artery, and multi‐dimensional pulse waves were extracted from image sequences. By using Bi‐directional Long‐Short Term Memory (BiLSTM) networks, a model suitable for the inputs of multitype pulse waves under multi‐length windows has been established. The model can measure BP wave with high accuracy more than 0.94 (correlation coefficient). Measurement errors are less than (4.65 ± 5.80) mmHg for systolic blood pressure and (6.45 ± 7.40) mmHg for diastolic blood pressure. This study breaks through the limitation of obtaining BP from single‐dimensional pulse wave in previous studies and provides a new idea for non‐invasive measurement of human BP waveform.