TY - JOUR
T1 - A low-power RFID integrated circuits for intelligent healthcare systems
AU - Lee, Shuenn Yuh
AU - Wang, Liang Hung
AU - Fang, Qiang
N1 - Funding Information:
Manuscript received November 21, 2009; revised April 16, 2010; accepted June 14, 2010. Date of publication July 8, 2010; date of current version November 5, 2010. This work was supported by the Chip Implementation Center and the National Science Council, Taiwan, under Grant NSC98-2220-E-194-002, Grant NSC98-2220-E-194-007, and Grant NSC96-2628-E-194-015-MY3, and by the Australian Research Council, Australia.
PY - 2010/11
Y1 - 2010/11
N2 - This paper presents low-power radio-frequency identification (RFID) technology for intelligent healthcare systems. With attention to power-efficient communication in the body sensor network, RF power transfer was estimated and the required low-power ICs, which are important in the development of a healthcare system with miniaturization and system integration, are discussed based on the RFID platform. To analyze the power transformation, this paper adopts a 915-MHz industrial, scientific, and medical RF with a radiation power of 70 mW to estimate the power loss under the 1-m communication distance between an RFID reader (bioinformation node) and a transponder (biosignal acquisition nodes). The low-power ICs of the transponder will be implemented in the TSMC 0.18-μm CMOS process. The simulation result reveals that the transponder's IC can fit in with the link budget of the UHF RFID system.
AB - This paper presents low-power radio-frequency identification (RFID) technology for intelligent healthcare systems. With attention to power-efficient communication in the body sensor network, RF power transfer was estimated and the required low-power ICs, which are important in the development of a healthcare system with miniaturization and system integration, are discussed based on the RFID platform. To analyze the power transformation, this paper adopts a 915-MHz industrial, scientific, and medical RF with a radiation power of 70 mW to estimate the power loss under the 1-m communication distance between an RFID reader (bioinformation node) and a transponder (biosignal acquisition nodes). The low-power ICs of the transponder will be implemented in the TSMC 0.18-μm CMOS process. The simulation result reveals that the transponder's IC can fit in with the link budget of the UHF RFID system.
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U2 - 10.1109/TITB.2010.2053942
DO - 10.1109/TITB.2010.2053942
M3 - Article
C2 - 20615816
AN - SCOPUS:78249279967
VL - 14
SP - 1387
EP - 1396
JO - IEEE Journal of Biomedical and Health Informatics
JF - IEEE Journal of Biomedical and Health Informatics
SN - 2168-2194
IS - 6
M1 - 5504220
ER -