Journal
SENSORS
Volume 18, Issue 7, Pages -Publisher
MDPI
DOI: 10.3390/s18072095
Keywords
blood pressure; bioimpedance; pulse wave velocity; pulse transit time; wearable structure
Funding
- NRF - MEST, Korea [2016R1A2B4015]
- National Research Foundation of Korea [22A20130012635, 2016R1A2B4015818] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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One potential method to estimate noninvasive cuffless blood pressure (BP) is through measurement of pulse wave velocity (PWV), which can be characterized by measuring the distance and the transit time of the pulse between two arterial sites. To obtain the pulse waveform, bioimpedance (BI) measurement is a promising approach because it continuously reflects the change in BP through the change in the arterial cross-sectional area. Several studies have investigated BI channels in a vertical direction with electrodes located along the wrist and the finger to calculate PWV and convert to BP; however, the measurement systems were relatively large in size. In order to reduce the total device size for use in a PWV-based BP smartwatch, this study proposes and examines a horizontal BI structure. The BI device is also designed to apply in a very small body area. Our proposed structure is based on two sets of four-electrode BI interface attached around the wrist. The effectiveness of our system and approach is evaluated on 15 human subjects; the PWV values are obtained with various distances between two BI channels to assess the efficacy. The results show that our BI system can monitor pulse rate efficiently in only a 0.5 x 1.75 cm(2) area of the body. The correlation of pulse rate from the proposed design against the reference is 0.98 +/- 0.07 (p < 0.001). Our structure yields higher detection ratios for PWV measurements of 99.0 +/- 2.2%, 99.0 +/- 2.1%, and 94.8 +/- 3.7% at 1, 2, and 3 cm between two BI channels, respectively. The measured PWVs correlate well with the BP standard device at 0.81 +/- 0.08 and 0.84 +/- 0.07 with low root-mean-squared-errors at 7.47 +/- 2.15 mmHg and 5.17 +/- 1.81 mmHg for SBP and DBP, respectively. Our results inform future designs of smart watches capable of measuring blood pressure.
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