A Wireless and Batteryless 10-Bit Implantable Blood Pressure Sensing Microsystem With Adaptive RF Powering for Real-Time Laboratory Mice Monitoring

An implantable real-time blood pressure monitoring microsystem for laboratory mice has been demonstrated. The system achieves a 10-bit blood pressure sensing resolution and can wirelessly transmit the pressure information to an external unit. The implantable device is operated in a batteryless manner, powered by an external RF power source. The received RF power level can be sensed and wirelessly transmitted along with blood pressure signal for feedback control of the external RF power. The microsystem employs an instrumented silicone cuff, wrapped around a blood vessel with a diameter of approximately 200 ¿m, for blood pressure monitoring. The cuff is filled by low-viscosity silicone oil with an immersed MEMS capacitive pressure sensor and integrated electronic system to detect a down-scaled vessel blood pressure waveform with a scaling factor of approximately 0.1. The integrated electronic system, consisting of a capacitance-to-voltage converter, an 11-bit ADC, an adaptive RF powering system, an oscillator-based 433 MHz FSK transmitter and digital control circuitry, is fabricated in a 1.5 ¿m CMOS process and dissipates a power of 300 ¿W. The packaged microsystem weighs 130 milligram and achieves a capacitive sensing resolution of 75 aF over 1 kHz bandwidth, equivalent to a pressure sensing resolution of 1 mmHg inside an animal vessel, with a dynamic range of 60 dB. Untethered laboratory animal in vivo evaluation demonstrates that the microsystem can capture real-time blood pressure information with a high fidelity under an adaptive RF powering and wireless data telemetry condition.

[1]  Michael A. Suster,et al.  A High-Performance MEMS Capacitive Strain Sensing System , 2006 .

[2]  Darrin J. Young,et al.  Wireless Implantable Blood Pressure Sensing Microsystem Design for Monitoring of Small Laboratory Animals , 2009 .

[3]  Gabor C. Temes,et al.  Circuit techniques for reducing the effects of op-amp imperfections: autozeroing, correlated double sampling, and chopper stabilization , 1996, Proc. IEEE.

[4]  David A. Johns,et al.  Analog Integrated Circuit Design , 1996 .

[5]  Paul R. Gray,et al.  A CMOS programmable self-calibrating 13-bit eight-channel data acquisition peripheral , 1987 .

[6]  Hao Yu,et al.  Circuitry for a wireless microsystem for neural recording microprobes , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  D.J. Young,et al.  2 GHz CMOS Voltage-Controlled Oscillator with Optimal Design of Phase Noise and Power Dissipation , 2007, 2007 IEEE Radio Frequency Integrated Circuits (RFIC) Symposium.

[8]  Peng Cong,et al.  WIRELESS BATTERYLESS IN VIVO BLOOD PRESSURE SENSING MICROSYSTEM FOR SMALL LABORATORY ANIMAL REAL-TIME MONITORING , 2008 .

[9]  Yoh-Han Pao,et al.  Naturally occurring variation in cardiovascular traits among inbred mouse strains. , 2002, Genomics.

[10]  R.R. Harrison,et al.  A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System , 2006, IEEE Journal of Solid-State Circuits.

[11]  Gabor C. Temes,et al.  Design-oriented estimation of thermal noise in switched-capacitor circuits , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

[12]  D.J. Young,et al.  In Vivo RF Powering for Advanced Biological Research , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  Jun Guo,et al.  A High-Performance MEMS Capacitive Strain Sensing System , 2006, Journal of Microelectromechanical Systems.

[14]  S. Whitesall,et al.  Comparison of simultaneous measurement of mouse systolic arterial blood pressure by radiotelemetry and tail-cuff methods. , 2004, American journal of physiology. Heart and circulatory physiology.

[15]  Jun Guo,et al.  A Wireless Strain Sensing Microsystem with External RF Power Source and Two-Channel Data Telemetry Capability , 2007, 2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers.

[16]  O. Oliaei Noise analysis of correlated double sampling SC integrators with a hold capacitor , 2003 .

[17]  P. R. Gray,et al.  Reference refreshing cyclic analog-to-digital and digital-to-analog converters , 1986 .

[18]  R. Castello,et al.  A ratio-independent algorithmic analog-to-digital conversion technique , 1984, IEEE Journal of Solid-State Circuits.

[19]  Nattapon Chaimanonart,et al.  An adaptively RF-powered wireless batteryless in vivo EKG and core body temperature sensing microsystem for untethered genetically engineered mice real-time monitoring , 2009, 2009 Sixth International Conference on Networked Sensing Systems (INSS).

[20]  D.J. Young,et al.  Adaptive RF power control for wireless implantable bio-sensing network to monitor untethered laboratory animal real-time biological signals , 2008, 2008 IEEE Sensors.

[21]  P.G.A. Jespers,et al.  A CMOS 13-b cyclic RSD A/D converter , 1992, IEEE Journal of Solid-State Circuits.

[22]  Darrin J. Young,et al.  Low noise μWatt interface circuits for wireless implantable real-time digital blood pressure monitoring , 2008, 2008 IEEE Custom Integrated Circuits Conference.

[23]  B P Brockway,et al.  A new method for continuous chronic measurement and recording of blood pressure, heart rate and activity in the rat via radio-telemetry. , 1991, Clinical and experimental hypertension. Part A, Theory and practice.

[24]  W. Ko,et al.  Novel Long-Term Implantable Blood Pressure Monitoring System with Reduced Baseline Drift , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.