Title :
A Low-Power RFID Integrated Circuits for Intelligent Healthcare Systems
Author :
Lee, Shuenn-Yuh ; Wang, Liang-Hung ; Fang, Qiang
Author_Institution :
Inst. of Electr. Eng., Nat. Chung Cheng Univ., Chia-Yi, Taiwan
Abstract :
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.
Keywords :
biomedical electronics; biomedical equipment; body sensor networks; health care; low-power electronics; medical signal detection; radiofrequency identification; transponders; RF power transfer; RFID reader; TSMC CMOS process; bioinformation node; biosignal acquisition node; body sensor network; communication distance; intelligent healthcare systems; low-power RFID integrated circuits; miniaturization; power transformation; power-efficient communication; radio-frequency identification technology; system integration; transponder; Body sensor networks; Communication industry; Integrated circuit technology; Intelligent sensors; Intelligent systems; Medical services; Radio frequency; Radiofrequency identification; Radiofrequency integrated circuits; Transponders; Body sensor network; bioinformation; biosignal acquisition; healthcare; low-power; radio-frequency identification (RFID); reader; transponder; Artificial Intelligence; Computer Communication Networks; Computer Simulation; Electrocardiography; Electromagnetic Fields; Electronics, Medical; Equipment Design; Humans; Medical Informatics; Monitoring, Ambulatory; Patient Identification Systems; Radio Waves; Signal Processing, Computer-Assisted; Telemetry; Transducers;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2010.2053942
