Key result
Wireless body sensors show reflection and radial augmentation indices vary by ~20% over short intervals.
Why the study?
A low-cost, comprehensive method for arterial pulse wave measurement and analysis using synchronous body sensor networks was needed to improve vascular health assessment.
A low-cost wireless body sensor network using EMFi sensors can record arterial pulse waves, revealing significant short-term variability in vascular indices.
Short-term variability >20% cautions against single readings for clinical decisions; leaves open standardized protocols for wireless vascular monitoring.
A wireless body sensor network for arterial pulse wave (PW) measurements is presented and tested with ten subjects. The system is capable of recording both mechanical PW contours with sensors made of a low-cost polypropylene-based material called electromechanical film (EMFi) and volume pulse signal with photoplethysmographic transducers. By using both types of sensors, the PW contours can be recorded from various locations. The system combined with automatic analysis methods enables to easily analyze the PW contours in order to obtain a more comprehensive view on the vascular health. To demonstrate this, two parameters used in literature, reflection index and radial augmentation index were calculated for the test subjects as a function of time. The results show that these parameter values may vary more than 20% in a period of 100 s, which suggests that a large number of PWs should be analyzed before making conclusions based on the calculated indices. In addition, the effects of the static bias force to the mechanical PW signal recorded with the EMFi sensors were studied. The PW signal with the maximum amplitude is obtained when the pressure caused by the static bias force corresponds to the contact pressure between typical systolic and diastolic blood pressures. The EMFi sensors used in the proposed system are a potential low-cost alternative for tonometric sensors in collecting data in the PW analysis for arterial screening.
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Peltokangas et al. (2014) studied this question. Wireless body sensor network with EMFi and photoplethysmographic sensors was evaluated on Reflection index and radial augmentation index. A wireless body sensor network demonstrated that reflection index and radial augmentation index values can vary by more than 20% over a 100-second period.
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