Wearable body sensor network towards continuous cuff-less blood pressure monitoring

We present a wearable IEEE 802.15.4-based Body Sensor Network (BSN) that enables continuous cuff-less blood pressure monitoring, opening up new perspectives for hypertension diagnosis and treatment, cardio-vascular event detection, and stress monitoring. Arterial blood pressure is estimated based on the Pulse Arrival Time (PAT), which is measured using a single lead electrocardiogram (ECG) patch on the chest and a photoplethysmogram (PPG) sensor at the finger or ear. Measurement context information-user posture and activity level-is extracted using a 3-D acceleration sensor. Since precise PAT measurements require the synchronization of the BSN devicespsila clocks, the Flooding Time Synchronization Protocol (FTSP) was implemented. The acquired data are stored and displayed on a PDA or a wristwatch. Our BSN can currently operate for up to eight hours and perform PAT measurements under moderate activity conditions. Future work includes higher motion tolerance, posture-corrected blood pressure estimation and on-sensor data processing and storage.

[1]  J. Muehlsteff,et al.  Relationships between Blood Pressure and Systolic Time-Intervals: a Lumped-Model Simulation Study , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Gyula Simon,et al.  The flooding time synchronization protocol , 2004, SenSys '04.

[3]  D B Newlin,et al.  Pre-ejection period: measuring beta-adrenergic influences upon the heart. , 1979, Psychophysiology.

[4]  R. Payne,et al.  Pulse transit time measured from the ECG: an unreliable marker of beat-to-beat blood pressure. , 2006, Journal of applied physiology.

[5]  Nigel H. Lovell,et al.  1 2 CHANGE IN PULSE TRANSIT TIME AND 3 PRE-EJECTION PERIOD DURING HEAD-UP 4 TILT-INDUCED PROGRESSIVE CENTRAL 5 HYPOVOLAEMIA 6 7 , 2007 .

[6]  A Steptoe,et al.  Pulse wave velocity and blood pressure change: calibration and applications. , 1976, Psychophysiology.

[7]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[8]  Philippe Renevey,et al.  Wrist-located pulse detection using IR signals, activity and nonlinear artifact cancellation , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  J. Muehlsteff,et al.  Wireless Body Sensor Network for Continuous Cuff-less Blood Pressure Monitoring , 2006, 2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors.

[10]  X. Aubert,et al.  Cuffless Estimation of Systolic Blood Pressure for Short Effort Bicycle Tests: The Prominent Role of the Pre-Ejection Period , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  David B. Newlin,et al.  Relationships ol Pulse Transmission Times to Pre-ejection Period and Blood Pressure , 1981 .

[12]  D B Newlin,et al.  Relationships of pulse transmission times to pre-ejection period and blood pressure. , 1981, Psychophysiology.