Skin-Coupled Personal Wearable Ambulatory Pulse Wave Velocity Monitoring System Using Microelectromechanical Sensors

A prototype skin-coupled personal wearable ambulatory pulse wave velocity (PWV) monitoring system is proposed and demonstrated. The system employs two packaged silicone-coated microelectromechanical systems (MEMS) pressure sensors for detecting blood pressure waveforms through skin surface contact in a non-invasive and continuous manner. The sensors are placed at two adjacent measurement points of the body, for example, the wrist or the neck, to measure blood pressure waveforms simultaneously. The measured waveforms are recorded by a data acquisition unit for signal processing and analysis. Analyzing the two waveforms can obtain the delay time between them, thus determining the local PWV. An application-specific signal processing algorithm is developed to accurately obtain the PWV. The PWV and detailed blood pressure waveforms are critical for monitoring human health condition. The prototype personal wearable monitoring system demonstrated its capability of detecting PWV of approximately 5.3 m/s at the wrist and 5.1 m/s at the neck from a volunteer. Similar tests were performed on two additional volunteers, obtaining PWV of 5.9 and 6.7 m/s, respectively, measured at the wrist.

[1]  Tingrui Pan,et al.  Droplet-between-electrodes for ultrahigh interfacial capacitive sensing , 2012 .

[2]  G. Kovacs Micromachined Transducers Sourcebook , 1998 .

[3]  James McNames,et al.  An automatic beat detection algorithm for pressure signals , 2005, IEEE Transactions on Biomedical Engineering.

[4]  Yuan-Ting Zhang,et al.  Theoretical Study on the Effect of Sensor Contact Force on Pulse Transit Time , 2007, IEEE Transactions on Biomedical Engineering.

[5]  P. Boutouyrie,et al.  Assessment of pulse wave velocity , 2008 .

[6]  D.J. Young,et al.  Wireless Batteryless Implantable Blood Pressure Monitoring Microsystem for Small Laboratory Animals , 2010, IEEE Sensors Journal.

[7]  O. Chételat,et al.  Parametric estimation of pulse arrival time: a robust approach to pulse wave velocity , 2009, Physiological measurement.

[8]  Darrin J. Young,et al.  Skin-surface-coupled personal health monitoring system , 2013, 2013 IEEE SENSORS.

[9]  D.J. Young,et al.  A Wireless and Batteryless 10-Bit Implantable Blood Pressure Sensing Microsystem With Adaptive RF Powering for Real-Time Laboratory Mice Monitoring , 2009, IEEE Journal of Solid-State Circuits.

[10]  James McNames,et al.  Automatic detection algorithm for physiologic pressure signal components , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[11]  R. Reneman,et al.  Measurement of local pulse wave velocity: effects of signal processing on precision. , 2007, Ultrasound in medicine & biology.

[12]  Jonathan Roberts,et al.  Ultrasound-guided radial artery access by a non-ultrasound trained interventional cardiologist improved first-attempt success rates and shortened time for successful radial artery cannulation. , 2012, The Journal of invasive cardiology.

[13]  J D Swales,et al.  Prediction of coronary and cerebrovascular morbidity and mortality by direct continuous ambulatory blood pressure monitoring in essential hypertension. , 1999, Circulation.

[14]  Heejung Bang,et al.  Blood pressure usually considered normal is associated with an elevated risk of cardiovascular disease. , 2006, The American journal of medicine.