A zero power harmonic transponder sensor for ubiquitous wireless μL liquid-volume monitoring

被引:34
作者
Huang, Haiyu [1 ,2 ]
Chen, Pai-Yen [3 ]
Hung, Cheng-Hsien [1 ]
Gharpurey, Ranjit [1 ]
Akinwande, Deji [1 ]
机构
[1] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
[2] Maxim Integrated, Dallas, TX 75240 USA
[3] Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA
关键词
HEALTH;
D O I
10.1038/srep18795
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Autonomous liquid-volume monitoring is crucial in ubiquitous healthcare. However, conventional approach is based on either human visual observation or expensive detectors, which are costly for future pervasive monitoring. Here we introduce a novel approach based on passive harmonic transponder antenna sensor and frequency hopping spread spectrum (FHSS) pattern analysis, to provide a very low cost wireless mu L-resolution liquid-volume monitoring without battery or digital circuits. In our conceptual demonstration, the harmonic transponder comprises of a passive nonlinear frequency multiplier connected to a metamaterial-inspired 3-D antenna designed to be highly sensitive to the liquid-volume within a confined region. The transponder first receives some FHSS signal from an interrogator, then converts such signal to its harmonic band and re-radiates through the antenna sensor. The harmonic signal is picked up by a sniffer receiver and decoded through pattern analysis of the high dimensional FHSS signal strength data. A robust, zero power, absolute accuracy wireless liquid-volume monitoring is realized in the presence of strong direct coupling, background scatters, distance variance as well as near-field human-body interference. The concepts of passive harmonic transponder sensor, metamaterial-inspired antenna sensor, and FHSS pattern analysis based sensor decoding may help establishing cost-effective, energy-efficient and intelligent wireless pervasive healthcare monitoring platforms.
引用
收藏
页数:10
相关论文
共 46 条
[1]   Miniaturized Wireless Sensing System for Real-Time Breath Activity Recording [J].
Andre, Nicolas ;
Druart, Sylvain ;
Gerard, Pierre ;
Pampin, Remi ;
Moreno-Hagelsieb, Luis ;
Kezai, Tahar ;
Francis, Laurent A. ;
Flandre, Denis ;
Raskin, Jean-Pierre .
IEEE SENSORS JOURNAL, 2010, 10 (01) :178-184
[2]  
[Anonymous], 2014, SMOOTH RESPONSE DATA
[3]  
[Anonymous], 2013, CLASS 1 GENERATION 2
[4]  
[Anonymous], 2012, MINICIRCUIT MK 5 FRE
[5]  
Balanis C. A., 2005, Antenna Theory: Analysis and Design, V3rd
[6]   E-health: transforming the physician/patient relationship [J].
Ball, MJ ;
Lillis, J .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2001, 61 (01) :1-10
[7]   PARALLEL VISUAL COMPUTATION [J].
BALLARD, DH ;
HINTON, GE ;
SEJNOWSKI, TJ .
NATURE, 1983, 306 (5938) :21-26
[8]  
Bhattacharyya R., 2011, 2011 IEEE International Conference on RFID (IEEE RFID 2011), P70, DOI 10.1109/RFID.2011.5764639
[9]  
Bhattacharyya Rahul, 2010, 2010 IEEE International Conference on RFID (IEEE RFID 2010), P126, DOI 10.1109/RFID.2010.5467235
[10]   Low-Cost, Ubiquitous RFID-Tag-Antenna-Based Sensing [J].
Bhattacharyya, Rahul ;
Floerkemeier, Christian ;
Sarma, Sanjay .
PROCEEDINGS OF THE IEEE, 2010, 98 (09) :1593-1600