A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications
This paper describes a mixed-signal ECG System-on-Chip (SoC) that is capable of implementing configurable functionality with low-power consumption for portable ECG monitoring applications. A low-voltage and high performance analog front-end extracts 3-channel ECG signals and single channel electrode...
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| Veröffentlicht in: | IEEE transactions on biomedical circuits and systems 2014-04, Vol.8 (2), p.257-267 |
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| container_title | IEEE transactions on biomedical circuits and systems |
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| creator | Kim, Hyejung Kim, Sunyoung Van Helleputte, Nick Artes, Antonio Konijnenburg, Mario Huisken, Jos Van Hoof, Chris Yazicioglu, Refet Firat |
| description | This paper describes a mixed-signal ECG System-on-Chip (SoC) that is capable of implementing configurable functionality with low-power consumption for portable ECG monitoring applications. A low-voltage and high performance analog front-end extracts 3-channel ECG signals and single channel electrode-tissue-impedance (ETI) measurement with high signal quality. This can be used to evaluate the quality of the ECG measurement and to filter motion artifacts. A custom digital signal processor consisting of 4-way SIMD processor provides the configurability and advanced functionality like motion artifact removal and R peak detection. A built-in 12-bit analog-to-digital converter (ADC) is capable of adaptive sampling achieving a compression ratio of up to 7, and loop buffer integration reduces the power consumption for on-chip memory access. The SoC is implemented in 0.18 μm CMOS process and consumes 32 μW from a 1.2 V while heart beat detection application is running, and integrated in a wireless ECG monitoring system with Bluetooth protocol. Thanks to the ECG SoC, the overall system power consumption can be reduced significantly. |
| doi_str_mv | 10.1109/TBCAS.2013.2260159 |
| format | Article |
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A low-voltage and high performance analog front-end extracts 3-channel ECG signals and single channel electrode-tissue-impedance (ETI) measurement with high signal quality. This can be used to evaluate the quality of the ECG measurement and to filter motion artifacts. A custom digital signal processor consisting of 4-way SIMD processor provides the configurability and advanced functionality like motion artifact removal and R peak detection. A built-in 12-bit analog-to-digital converter (ADC) is capable of adaptive sampling achieving a compression ratio of up to 7, and loop buffer integration reduces the power consumption for on-chip memory access. The SoC is implemented in 0.18 μm CMOS process and consumes 32 μW from a 1.2 V while heart beat detection application is running, and integrated in a wireless ECG monitoring system with Bluetooth protocol. Thanks to the ECG SoC, the overall system power consumption can be reduced significantly.</description><identifier>ISSN: 1932-4545</identifier><identifier>EISSN: 1940-9990</identifier><identifier>DOI: 10.1109/TBCAS.2013.2260159</identifier><identifier>PMID: 24875285</identifier><identifier>CODEN: ITBCCW</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Biopotential recording ; Choppers (circuits) ; Configurable ; Digital signal processors ; ECG ; Echocardiography ; Electrocardiography ; Electrocardiography - instrumentation ; Electrocardiography - methods ; Equipment Design ; Feature extraction ; Impedance ; Lab-On-A-Chip Devices ; Microprocessors ; Monitoring ; Monitoring systems ; motion artifact reduction ; Motion artifacts ; Portability ; Power consumption ; Power demand ; R peak detection ; Signal Processing, Computer-Assisted - instrumentation ; System on chip ; System-on-Chip (SoC)</subject><ispartof>IEEE transactions on biomedical circuits and systems, 2014-04, Vol.8 (2), p.257-267</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Apr 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-b63c06d6f09683ea27998f70e87d93a5b084e8c5fae2a1e98bd062f60fa81b213</citedby><cites>FETCH-LOGICAL-c483t-b63c06d6f09683ea27998f70e87d93a5b084e8c5fae2a1e98bd062f60fa81b213</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6544283$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27929,27930,54763</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6544283$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24875285$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Hyejung</creatorcontrib><creatorcontrib>Kim, Sunyoung</creatorcontrib><creatorcontrib>Van Helleputte, Nick</creatorcontrib><creatorcontrib>Artes, Antonio</creatorcontrib><creatorcontrib>Konijnenburg, Mario</creatorcontrib><creatorcontrib>Huisken, Jos</creatorcontrib><creatorcontrib>Van Hoof, Chris</creatorcontrib><creatorcontrib>Yazicioglu, Refet Firat</creatorcontrib><title>A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications</title><title>IEEE transactions on biomedical circuits and systems</title><addtitle>TBCAS</addtitle><addtitle>IEEE Trans Biomed Circuits Syst</addtitle><description>This paper describes a mixed-signal ECG System-on-Chip (SoC) that is capable of implementing configurable functionality with low-power consumption for portable ECG monitoring applications. A low-voltage and high performance analog front-end extracts 3-channel ECG signals and single channel electrode-tissue-impedance (ETI) measurement with high signal quality. This can be used to evaluate the quality of the ECG measurement and to filter motion artifacts. A custom digital signal processor consisting of 4-way SIMD processor provides the configurability and advanced functionality like motion artifact removal and R peak detection. A built-in 12-bit analog-to-digital converter (ADC) is capable of adaptive sampling achieving a compression ratio of up to 7, and loop buffer integration reduces the power consumption for on-chip memory access. The SoC is implemented in 0.18 μm CMOS process and consumes 32 μW from a 1.2 V while heart beat detection application is running, and integrated in a wireless ECG monitoring system with Bluetooth protocol. Thanks to the ECG SoC, the overall system power consumption can be reduced significantly.</description><subject>Biopotential recording</subject><subject>Choppers (circuits)</subject><subject>Configurable</subject><subject>Digital signal processors</subject><subject>ECG</subject><subject>Echocardiography</subject><subject>Electrocardiography</subject><subject>Electrocardiography - instrumentation</subject><subject>Electrocardiography - methods</subject><subject>Equipment Design</subject><subject>Feature extraction</subject><subject>Impedance</subject><subject>Lab-On-A-Chip Devices</subject><subject>Microprocessors</subject><subject>Monitoring</subject><subject>Monitoring systems</subject><subject>motion artifact reduction</subject><subject>Motion artifacts</subject><subject>Portability</subject><subject>Power consumption</subject><subject>Power demand</subject><subject>R peak detection</subject><subject>Signal Processing, Computer-Assisted - instrumentation</subject><subject>System on chip</subject><subject>System-on-Chip (SoC)</subject><issn>1932-4545</issn><issn>1940-9990</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqNkU1v1DAQQC1ERUvhD4CELHHhku34M_ZxiUpB2qqVtnCNnGS8cpWNFztR4d-z6S49cKGnGWnezGjmEfKOwYIxsBd3n6vlesGBiQXnGpiyL8gZsxIKay28nHPBC6mkOiWvc74HUJpb_oqccmlKxY06Iz-WtIqDD5spuaZH6oaOruJDcRsfMNHr8As7ug6bwfV0HSvqY6K3MY2P7GV1Ra_jEMaYwrChy92uD60bQxzyG3LiXZ_x7TGek-9fLu-qr8Xq5upbtVwVrTRiLBotWtCd9mC1Eeh4aa3xJaApOyucasBINK3yDrljaE3TgeZeg3eGNZyJc_LpMHeX4s8J81hvQ26x792Acco109oaU7LnoZJZUKD-jyoBVklezujHf9D7OKX9u2ZKqv05Vs-7-YFqU8w5oa93KWxd-l0zqGeX9aPLenZZH13umz4cR0_NFrunlr_y9sD7AxAQ8amslZTcCPEH1tufwg</recordid><startdate>20140401</startdate><enddate>20140401</enddate><creator>Kim, Hyejung</creator><creator>Kim, Sunyoung</creator><creator>Van Helleputte, Nick</creator><creator>Artes, Antonio</creator><creator>Konijnenburg, Mario</creator><creator>Huisken, Jos</creator><creator>Van Hoof, Chris</creator><creator>Yazicioglu, Refet Firat</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>7QO</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>L7M</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20140401</creationdate><title>A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications</title><author>Kim, Hyejung ; Kim, Sunyoung ; Van Helleputte, Nick ; Artes, Antonio ; Konijnenburg, Mario ; Huisken, Jos ; Van Hoof, Chris ; Yazicioglu, Refet Firat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-b63c06d6f09683ea27998f70e87d93a5b084e8c5fae2a1e98bd062f60fa81b213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Biopotential recording</topic><topic>Choppers (circuits)</topic><topic>Configurable</topic><topic>Digital signal processors</topic><topic>ECG</topic><topic>Echocardiography</topic><topic>Electrocardiography</topic><topic>Electrocardiography - instrumentation</topic><topic>Electrocardiography - methods</topic><topic>Equipment Design</topic><topic>Feature extraction</topic><topic>Impedance</topic><topic>Lab-On-A-Chip Devices</topic><topic>Microprocessors</topic><topic>Monitoring</topic><topic>Monitoring systems</topic><topic>motion artifact reduction</topic><topic>Motion artifacts</topic><topic>Portability</topic><topic>Power consumption</topic><topic>Power demand</topic><topic>R peak detection</topic><topic>Signal Processing, Computer-Assisted - instrumentation</topic><topic>System on chip</topic><topic>System-on-Chip (SoC)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Hyejung</creatorcontrib><creatorcontrib>Kim, Sunyoung</creatorcontrib><creatorcontrib>Van Helleputte, Nick</creatorcontrib><creatorcontrib>Artes, Antonio</creatorcontrib><creatorcontrib>Konijnenburg, Mario</creatorcontrib><creatorcontrib>Huisken, Jos</creatorcontrib><creatorcontrib>Van Hoof, Chris</creatorcontrib><creatorcontrib>Yazicioglu, Refet Firat</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>Biotechnology Research Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on biomedical circuits and systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kim, Hyejung</au><au>Kim, Sunyoung</au><au>Van Helleputte, Nick</au><au>Artes, Antonio</au><au>Konijnenburg, Mario</au><au>Huisken, Jos</au><au>Van Hoof, Chris</au><au>Yazicioglu, Refet Firat</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications</atitle><jtitle>IEEE transactions on biomedical circuits and systems</jtitle><stitle>TBCAS</stitle><addtitle>IEEE Trans Biomed Circuits Syst</addtitle><date>2014-04-01</date><risdate>2014</risdate><volume>8</volume><issue>2</issue><spage>257</spage><epage>267</epage><pages>257-267</pages><issn>1932-4545</issn><eissn>1940-9990</eissn><coden>ITBCCW</coden><abstract>This paper describes a mixed-signal ECG System-on-Chip (SoC) that is capable of implementing configurable functionality with low-power consumption for portable ECG monitoring applications. A low-voltage and high performance analog front-end extracts 3-channel ECG signals and single channel electrode-tissue-impedance (ETI) measurement with high signal quality. This can be used to evaluate the quality of the ECG measurement and to filter motion artifacts. A custom digital signal processor consisting of 4-way SIMD processor provides the configurability and advanced functionality like motion artifact removal and R peak detection. A built-in 12-bit analog-to-digital converter (ADC) is capable of adaptive sampling achieving a compression ratio of up to 7, and loop buffer integration reduces the power consumption for on-chip memory access. The SoC is implemented in 0.18 μm CMOS process and consumes 32 μW from a 1.2 V while heart beat detection application is running, and integrated in a wireless ECG monitoring system with Bluetooth protocol. Thanks to the ECG SoC, the overall system power consumption can be reduced significantly.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>24875285</pmid><doi>10.1109/TBCAS.2013.2260159</doi><tpages>11</tpages></addata></record> |
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| identifier | ISSN: 1932-4545 |
| ispartof | IEEE transactions on biomedical circuits and systems, 2014-04, Vol.8 (2), p.257-267 |
| issn | 1932-4545 1940-9990 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Biopotential recording Choppers (circuits) Configurable Digital signal processors ECG Echocardiography Electrocardiography Electrocardiography - instrumentation Electrocardiography - methods Equipment Design Feature extraction Impedance Lab-On-A-Chip Devices Microprocessors Monitoring Monitoring systems motion artifact reduction Motion artifacts Portability Power consumption Power demand R peak detection Signal Processing, Computer-Assisted - instrumentation System on chip System-on-Chip (SoC) |
| title | A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications |
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