A Wireless Implantable Sensor Network System for In Vivo Monitoring of Physiological Signals

A wireless implantable sensor network system (WISNS) is designed for in vivo monitoring physiological signals of a population of animals. WISNS can simultaneously monitor more than 15 animals, communicating three kinds of analog information among sensor nodes. Analog signals are transmitted to relay node at 800-KHz carrier by AM. Relay nodes digitalize and package them into messages, and then forward to the Wireless sensor network by Nordic RF technology (NWSN). Smaller overall dimensions (<;2 cm3), lower power regulation, and dedicated packaging make the system suitable and compatible for implantable devices. The implantable sensor node, protocol stack of NWSN, and performance of the system are evaluated and optimized with ECG monitoring test of rats. Compared with those commercially available sensor nodes, our implantable one is leading in the weight and volume miniaturization, and our WISNS solution shows huge potential in achieving the compatibility of different animals.

[1]  David E. Culler,et al.  Telos: enabling ultra-low power wireless research , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[2]  K. Okita,et al.  New small animal model for human gastric Helicobacter pylori infection: success in both nude and euthymic mice. , 1991, The American journal of gastroenterology.

[3]  P. Mannucci,et al.  A Small Animal Model for Electrocardiographic Abnormalities Observed After An Experimental Subarachnoid Hemorrhage , 2022 .

[4]  Chao Hu,et al.  Protocol architecture for Wireless Body Area Network based on nRF24L01 , 2008, 2008 IEEE International Conference on Automation and Logistics.

[5]  Martin P. Mintchev,et al.  High-pressure balloon catheter for real-time pressure monitoring in the esophagus , 2002, 9th International Conference on Electronics, Circuits and Systems.

[6]  R E Grindeland,et al.  Size constraints of telemeters in rats. , 1998, Journal of applied physiology.

[7]  William P. Marnane,et al.  Energy-Efficient Low Duty Cycle MAC Protocol for Wireless Body Area Networks , 2009, IEEE Transactions on Information Technology in Biomedicine.

[8]  P. Swain,et al.  Wireless capsule endoscopy. , 2002, The Israel Medical Association journal : IMAJ.

[9]  R. Maestri,et al.  Long-term time-course of nocturnal breathing disorders in heart failure patients , 2009, European Respiratory Journal.

[10]  Katrin Bilstrup.  A preliminary study of wireless body area networks , 2008 .

[11]  Y.A. Chau,et al.  Adaptive Medium Access Control with CSMA/CA and TDMA for Overlay Networks , 2006, 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications.

[12]  A.Y. Barnawi,et al.  An Adaptive MAC Protocol for Infrastructure Wireless Sensor Networks , 2007, 2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007).

[13]  Honggang Wang,et al.  An Energy Efficient Pre-Schedule Scheme for Hybrid CSMA/TDMA MAC in Wireless Sensor Networks , 2006, 2006 10th IEEE Singapore International Conference on Communication Systems.

[14]  P. Muhlethaler,et al.  Performance evaluation of TDMA versus CSMA-based protocols in SINR models , 2009, 2009 European Wireless Conference.

[15]  Olga Boric-Lubecke,et al.  Digital Heart-Rate Variability Parameter Monitoring and Assessment ASIC , 2010, IEEE Transactions on Biomedical Circuits and Systems.

[16]  Wei Chen,et al.  Building Automation Systems Using Wireless Sensor Networks: Radio Characteristics and Energy Efficient Communication Protocols , 2009, Electronic Journal of Structural Engineering.

[17]  Paolo Dario,et al.  A Survey of Glove-Based Systems and Their Applications , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[18]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[19]  Liu Hongli,et al.  Performance analysis of a hybrid TDMA-CSMA/CD protocol for bus networks , 1997, 1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335).

[20]  Paolo Dario,et al.  An implantable telemetry platform system for in vivo monitoring of physiological parameters , 2004, IEEE Transactions on Information Technology in Biomedicine.

[21]  Fu Xiu.  A Low-power design of ECG signal storage system based on MSP430F1611 and SD card , 2009 .

[22]  P. Sandercock,et al.  Where is the evidence that animal research benefits humans? , 2004, BMJ : British Medical Journal.

[23]  Byung-Seop Song,et al.  Design of bi-directional and multi-channel miniaturized telemetry module for wireless endoscopy , 2002, 2nd Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.02EX578).

[24]  Jelena V. Misic,et al.  Bridging between ieee 802.15.4 and IEEE 802.11b networks for multiparameter healthcare sensing , 2009, IEEE Journal on Selected Areas in Communications.

[25]  James D. Meindl,et al.  Implantable Telemetry in Biomedical Research , 1984, IEEE Transactions on Biomedical Engineering.

[26]  Frederik Nebeker.  Golden accomplishments in biomedical engineering. , 2002, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[27]  J D Meindl.  Biomedical implantable microelectronics. , 1980, Science.

[28]  Ingrid Moerman,et al.  Characterization of On-Body Communication Channel and Energy Efficient Topology Design for Wireless Body Area Networks , 2009, IEEE Transactions on Information Technology in Biomedicine.

[29]  Ying Zhang,et al.  Bluetooth-Based Sensor Networks for Remotely Monitoring the Physiological Signals of a Patient , 2009, IEEE Transactions on Information Technology in Biomedicine.