A Low-Power RFID Integrated Circuits for Intelligent Healthcare Systems
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 h...
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| Veröffentlicht in: | IEEE journal of biomedical and health informatics 2010-11, Vol.14 (6), p.1387-1396 |
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| creator | Lee, Shuenn-Yuh Wang, Liang-Hung Fang, Qiang |
| description | 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. |
| doi_str_mv | 10.1109/TITB.2010.2053942 |
| format | Article |
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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. 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(IEEE) Nov 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c413t-9849d200823496057f4f18c9b8a76f400b298c5f9bda28be7c70ecb257a0c7523</citedby><cites>FETCH-LOGICAL-c413t-9849d200823496057f4f18c9b8a76f400b298c5f9bda28be7c70ecb257a0c7523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5504220$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5504220$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20615816$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Shuenn-Yuh</creatorcontrib><creatorcontrib>Wang, Liang-Hung</creatorcontrib><creatorcontrib>Fang, Qiang</creatorcontrib><title>A Low-Power RFID Integrated Circuits for Intelligent Healthcare Systems</title><title>IEEE journal of biomedical and health informatics</title><addtitle>TITB</addtitle><addtitle>IEEE Trans Inf Technol Biomed</addtitle><description>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.</description><subject>Artificial Intelligence</subject><subject>bioinformation</subject><subject>biosignal acquisition</subject><subject>Body sensor network</subject><subject>Body sensor networks</subject><subject>Communication industry</subject><subject>Computer Communication Networks</subject><subject>Computer Simulation</subject><subject>Electrocardiography</subject><subject>Electromagnetic Fields</subject><subject>Electronics, Medical - instrumentation</subject><subject>Equipment Design</subject><subject>Health care</subject><subject>healthcare</subject><subject>Humans</subject><subject>Integrated circuit technology</subject><subject>Integrated circuits</subject><subject>Intelligent sensors</subject><subject>Intelligent systems</subject><subject>low-power</subject><subject>Medical Informatics</subject><subject>Medical services</subject><subject>Monitoring, Ambulatory - instrumentation</subject><subject>Patient Identification Systems</subject><subject>Radio frequencies</subject><subject>Radio frequency</subject><subject>Radio frequency identification</subject><subject>Radio Waves</subject><subject>radio-frequency identification (RFID)</subject><subject>Radiofrequency identification</subject><subject>Radiofrequency integrated circuits</subject><subject>reader</subject><subject>Readers</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Systems integration</subject><subject>Telemetry - instrumentation</subject><subject>Transducers</subject><subject>transponder</subject><subject>Transponders</subject><subject>UHF</subject><issn>1089-7771</issn><issn>2168-2194</issn><issn>1558-0032</issn><issn>2168-2208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqFkctKAzEUhoMoXqoPIIIMuNDN6Mk9WdZ6KxQUreshk57RkbajyQzi25va6sKFZpOc5Ds_ST5C9imcUgr2bDwcn58ySCUDya1ga2SbSmlyAM7W0xqMzbXWdIvsxPgCQIWkfJNsMVBUGqq2yXU_GzXv-V3zjiG7vxpeZMN5i0_BtTjJBnXwXd3GrGrC1_50Wj_hvM1u0E3bZ-8CZg8fscVZ3CUblZtG3FvNPfJ4dTke3OSj2-vhoD_KvaC8za0RdsIADOPCKpC6EhU13pbGaVUJgJJZ42Vly4ljpkTtNaAvmdQOvJaM98jxMvc1NG8dxraY1dGni7k5Nl0sUr5QSkv4l9SKUy2UlYk8-ZOkSlPGJU-jR45-oS9NF-bpxQUFnv7XGi0SRZeUD02MAaviNdQzFz4SVCzMFQtzxcJcsTKXeg5XyV05w8lPx7eqBBwsgRoRf46lBMEY8E-R3Zj7</recordid><startdate>201011</startdate><enddate>201011</enddate><creator>Lee, Shuenn-Yuh</creator><creator>Wang, Liang-Hung</creator><creator>Fang, Qiang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>201011</creationdate><title>A Low-Power RFID Integrated Circuits for Intelligent Healthcare Systems</title><author>Lee, Shuenn-Yuh ; Wang, Liang-Hung ; Fang, Qiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-9849d200823496057f4f18c9b8a76f400b298c5f9bda28be7c70ecb257a0c7523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Artificial Intelligence</topic><topic>bioinformation</topic><topic>biosignal acquisition</topic><topic>Body sensor network</topic><topic>Body sensor networks</topic><topic>Communication industry</topic><topic>Computer Communication Networks</topic><topic>Computer Simulation</topic><topic>Electrocardiography</topic><topic>Electromagnetic Fields</topic><topic>Electronics, Medical - instrumentation</topic><topic>Equipment Design</topic><topic>Health care</topic><topic>healthcare</topic><topic>Humans</topic><topic>Integrated circuit technology</topic><topic>Integrated circuits</topic><topic>Intelligent sensors</topic><topic>Intelligent systems</topic><topic>low-power</topic><topic>Medical Informatics</topic><topic>Medical services</topic><topic>Monitoring, Ambulatory - instrumentation</topic><topic>Patient Identification Systems</topic><topic>Radio frequencies</topic><topic>Radio frequency</topic><topic>Radio frequency identification</topic><topic>Radio Waves</topic><topic>radio-frequency identification (RFID)</topic><topic>Radiofrequency identification</topic><topic>Radiofrequency integrated circuits</topic><topic>reader</topic><topic>Readers</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Systems integration</topic><topic>Telemetry - instrumentation</topic><topic>Transducers</topic><topic>transponder</topic><topic>Transponders</topic><topic>UHF</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Shuenn-Yuh</creatorcontrib><creatorcontrib>Wang, Liang-Hung</creatorcontrib><creatorcontrib>Fang, Qiang</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE journal of biomedical and health informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lee, Shuenn-Yuh</au><au>Wang, Liang-Hung</au><au>Fang, Qiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Low-Power RFID Integrated Circuits for Intelligent Healthcare Systems</atitle><jtitle>IEEE journal of biomedical and health informatics</jtitle><stitle>TITB</stitle><addtitle>IEEE Trans Inf Technol Biomed</addtitle><date>2010-11</date><risdate>2010</risdate><volume>14</volume><issue>6</issue><spage>1387</spage><epage>1396</epage><pages>1387-1396</pages><issn>1089-7771</issn><issn>2168-2194</issn><eissn>1558-0032</eissn><eissn>2168-2208</eissn><coden>ITIBFX</coden><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.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>20615816</pmid><doi>10.1109/TITB.2010.2053942</doi><tpages>10</tpages></addata></record> |
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| subjects | Artificial Intelligence bioinformation biosignal acquisition Body sensor network Body sensor networks Communication industry Computer Communication Networks Computer Simulation Electrocardiography Electromagnetic Fields Electronics, Medical - instrumentation Equipment Design Health care healthcare Humans Integrated circuit technology Integrated circuits Intelligent sensors Intelligent systems low-power Medical Informatics Medical services Monitoring, Ambulatory - instrumentation Patient Identification Systems Radio frequencies Radio frequency Radio frequency identification Radio Waves radio-frequency identification (RFID) Radiofrequency identification Radiofrequency integrated circuits reader Readers Signal Processing, Computer-Assisted Systems integration Telemetry - instrumentation Transducers transponder Transponders UHF |
| title | A Low-Power RFID Integrated Circuits for Intelligent Healthcare Systems |
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