A VLSI Neural Monitoring System With Ultra-Wideband Telemetry for Awake Behaving Subjects
Long-term monitoring of neuronal activity in awake behaving subjects can provide fundamental information about brain dynamics for neuroscience and neuroengineering applications. Here, we present a miniature, lightweight, and low-power recording system for monitoring neural activity in awake behaving...
Saved in:
Published in | IEEE transactions on biomedical circuits and systems Vol. 5; no. 2; pp. 112 - 119 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
IEEE
01.04.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1932-4545 1940-9990 |
DOI | 10.1109/TBCAS.2011.2141670 |
Cover
Abstract | Long-term monitoring of neuronal activity in awake behaving subjects can provide fundamental information about brain dynamics for neuroscience and neuroengineering applications. Here, we present a miniature, lightweight, and low-power recording system for monitoring neural activity in awake behaving animals. The system integrates two custom designed very-large-scale integrated chips, a neural interface module fabricated in 0.5 μm complementary metal-oxide semiconductor technology and an ultra-wideband transmitter module fabricated in a 0.5 μm silicon-on-sapphire (SOS) technology. The system amplifies, filters, digitizes, and transmits 16 channels of neural data at a rate of 1 Mb/s. The entire system, which includes the VLSI circuits, a digital interface board, a battery, and a custom housing, is small and lightweight (24 g) and, thus, can be chronically mounted on small animals. The system consumes 4.8 mA and records continuously for up to 40 h powered by a 3.7-V, 200-mAh rechargeable lithium-ion battery. Experimental benchtop characterizations as well as in vivo multichannel neural recordings from awake behaving rats are presented here. |
---|---|
AbstractList | Long-term monitoring of neuronal activity in awake behaving subjects can provide fundamental information about brain dynamics for neuroscience and neuroengineering applications. Here, we present a miniature, lightweight, and low-power recording system for monitoring neural activity in awake behaving animals. The system integrates two custom designed very-large-scale integrated chips, a neural interface module fabricated in 0.5 μm complementary metal-oxide semiconductor technology and an ultra-wideband transmitter module fabricated in a 0.5 μm silicon-on-sapphire (SOS) technology. The system amplifies, filters, digitizes, and transmits 16 channels of neural data at a rate of 1 Mb/s. The entire system, which includes the VLSI circuits, a digital interface board, a battery, and a custom housing, is small and lightweight (24 g) and, thus, can be chronically mounted on small animals. The system consumes 4.8 mA and records continuously for up to 40 h powered by a 3.7-V, 200-mAh rechargeable lithium-ion battery. Experimental benchtop characterizations as well as in vivo multichannel neural recordings from awake behaving rats are presented here. Long-term monitoring of neuronal activity in awake behaving subjects can provide fundamental information about brain dynamics for neuroscience and neuroengineering applications. Here, we present a miniature, lightweight, and low-power recording system for monitoring neural activity in awake behaving animals. The system integrates two custom designed very-large-scale integrated chips, a neural interface module fabricated in 0.5 mu m complementary metal-oxide semiconductor technology and an ultra-wideband transmitter module fabricated in a 0.5 mu m silicon-on-sapphire (SOS) technology. The system amplifies, filters, digitizes, and transmits 16 channels of neural data at a rate of 1 Mb/s. The entire system, which includes the VLSI circuits, a digital interface board, a battery, and a custom housing, is small and lightweight (24 g) and, thus, can be chronically mounted on small animals. The system consumes 4.8 mA and records continuously for up to 40 h powered by a 3.7-V, 200-mAh rechargeable lithium-ion battery. Experimental benchtop characterizations as well as in vivo multichannel neural recordings from awake behaving rats are presented here. Long-term monitoring of neuronal activity in awake behaving subjects can provide fundamental information about brain dynamics for neuroscience and neuroengineering applications. Here, we present a miniature, lightweight, and low-power recording system for monitoring neural activity in awake behaving animals. The system integrates two custom designed very-large-scale integrated chips, a neural interface module fabricated in 0.5 [Formula Omitted]m complementary metal-oxide semiconductor technology and an ultra-wideband transmitter module fabricated in a 0.5 [Formula Omitted]m silicon-on-sapphire (SOS) technology. The system amplifies, filters, digitizes, and transmits 16 channels of neural data at a rate of 1 Mb/s. The entire system, which includes the VLSI circuits, a digital interface board, a battery, and a custom housing, is small and lightweight (24 g) and, thus, can be chronically mounted on small animals. The system consumes 4.8 mA and records continuously for up to 40 h powered by a 3.7-V, 200-mAh rechargeable lithium-ion battery. Experimental benchtop characterizations as well as in vivo multichannel neural recordings from awake behaving rats are presented here. Long-term monitoring of neuronal activity in awake behaving subjects can provide fundamental information about brain dynamics for neuroscience and neuroengineering applications. Here, we present a miniature, lightweight, and low-power recording system for monitoring neural activity in awake behaving animals. The system integrates two custom designed very-large-scale integrated chips, a neural interface module fabricated in 0.5 μm complementary metal-oxide semiconductor technology and an ultra-wideband transmitter module fabricated in a 0.5 μm silicon-on-sapphire (SOS) technology. The system amplifies, filters, digitizes, and transmits 16 channels of neural data at a rate of 1 Mb/s. The entire system, which includes the VLSI circuits, a digital interface board, a battery, and a custom housing, is small and lightweight (24 g) and, thus, can be chronically mounted on small animals. The system consumes 4.8 mA and records continuously for up to 40 h powered by a 3.7-V, 200-mAh rechargeable lithium-ion battery. Experimental benchtop characterizations as well as in vivo multichannel neural recordings from awake behaving rats are presented here.Long-term monitoring of neuronal activity in awake behaving subjects can provide fundamental information about brain dynamics for neuroscience and neuroengineering applications. Here, we present a miniature, lightweight, and low-power recording system for monitoring neural activity in awake behaving animals. The system integrates two custom designed very-large-scale integrated chips, a neural interface module fabricated in 0.5 μm complementary metal-oxide semiconductor technology and an ultra-wideband transmitter module fabricated in a 0.5 μm silicon-on-sapphire (SOS) technology. The system amplifies, filters, digitizes, and transmits 16 channels of neural data at a rate of 1 Mb/s. The entire system, which includes the VLSI circuits, a digital interface board, a battery, and a custom housing, is small and lightweight (24 g) and, thus, can be chronically mounted on small animals. The system consumes 4.8 mA and records continuously for up to 40 h powered by a 3.7-V, 200-mAh rechargeable lithium-ion battery. Experimental benchtop characterizations as well as in vivo multichannel neural recordings from awake behaving rats are presented here. |
Author | Wei Tang Thakor, V Culurciello, E Mollazadeh, M Greenwald, E Hu, C |
Author_xml | – sequence: 1 givenname: E surname: Greenwald fullname: Greenwald, E email: egreenw3@jhu.edu organization: Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA – sequence: 2 givenname: M surname: Mollazadeh fullname: Mollazadeh, M organization: Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA – sequence: 3 givenname: C surname: Hu fullname: Hu, C organization: Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA – sequence: 4 surname: Wei Tang fullname: Wei Tang organization: Yale Univ., New Haven, CT, USA – sequence: 5 givenname: E surname: Culurciello fullname: Culurciello, E email: eugenio.culurciello@yale.edu organization: Yale Univ., New Haven, CT, USA – sequence: 6 givenname: V surname: Thakor fullname: Thakor, V organization: Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23851199$$D View this record in MEDLINE/PubMed |
BookMark | eNp9kU1v1DAQhi1URD_gD4CELC5wyWI7dmwftysKlRY47JaKk-XEE-oliYvtgPbfN9vdcuihp5nD87zSzHuKjoYwAEKvKZlRSvTH9flivpoxQumMUU4rSZ6hE6o5KbTW5Gi3l6zggotjdJrShhBRMc1eoGNWKkGp1ifo5xz_WK4u8TcYo-3w1zD4HKIffuHVNmXo8bXPN_iqy9EW195BbQeH19BBDzlucRsinv-zvwGfw439e--N9QaanF6i563tErw6zDN0dfFpvfhSLL9_vlzMl0VTKpYL17i2tq3UijNVNQCOlLaCxvFSSaatk2DBMQ2guC2BklpazttKKSoYEa48Q-_3ubcx_BkhZdP71EDX2QHCmIySnE5wpSfyw5Mk5YSUWspKTOi7R-gmjHGY7jCaci4Fl3KC3h6gse7Bmdvoexu35uG7E6D2QBNDShFa0_hssw_D9E7fGUrMrkhzX6TZFWkORU4qe6Q-pD8pvdlLHgD-C0IKTYko7wCP1qeQ |
CODEN | ITBCCW |
CitedBy_id | crossref_primary_10_1109_TCSI_2017_2762159 crossref_primary_10_1109_TCSII_2016_2601062 crossref_primary_10_1109_TBCAS_2011_2169794 crossref_primary_10_1016_j_neuron_2014_11_010 crossref_primary_10_1088_1741_2560_12_5_056005 crossref_primary_10_1109_JBHI_2015_2416202 crossref_primary_10_1109_TBCAS_2012_2222881 crossref_primary_10_1109_TIE_2020_2988226 crossref_primary_10_1109_TMAG_2012_2235181 crossref_primary_10_1109_RBME_2014_2346487 crossref_primary_10_1109_JSEN_2019_2908822 crossref_primary_10_1109_JSEN_2015_2430859 crossref_primary_10_1109_TBCAS_2014_2328492 crossref_primary_10_3233_JAD_191240 crossref_primary_10_1152_jn_00785_2013 crossref_primary_10_3390_jlpea4040268 crossref_primary_10_1007_s10470_015_0532_0 crossref_primary_10_1109_LMWC_2017_2678438 crossref_primary_10_1109_TBCAS_2016_2514522 crossref_primary_10_1080_21681724_2017_1292552 crossref_primary_10_1109_TBCAS_2019_2891303 crossref_primary_10_1109_TBCAS_2012_2188029 crossref_primary_10_1109_TBCAS_2013_2245506 crossref_primary_10_1016_j_neuron_2015_01_028 crossref_primary_10_1109_TMTT_2014_2360681 crossref_primary_10_1109_TBME_2013_2278180 crossref_primary_10_1109_JSEN_2015_2462362 crossref_primary_10_1109_TBME_2013_2247603 |
Cites_doi | 10.1016/S1388-2457(02)00057-3 10.1016/j.jneumeth.2007.09.029 10.1093/cercor/bhi015 10.1109/TBCAS.2009.2031603 10.1109/TBME.2007.895753 10.1016/j.jneumeth.2009.06.007 10.1088/1741-2560/6/6/066001 10.1109/TBCAS.2009.2031877 10.1109/ISCAS.2010.5538034 10.1016/j.jneumeth.2005.04.017 10.1088/1741-2560/7/4/046002 10.1109/ISCAS.2010.5537299 10.1038/nn.2730 10.1016/j.ncl.2008.03.015 10.1109/TNSRE.2009.2021607 10.1109/TBCAS.2008.2005297 10.1109/TNSRE.2009.2023293 10.1016/j.conb.2004.10.005 10.1152/jn.00879.2005 10.1109/TNSRE.2009.2023298 |
ContentType | Journal Article |
Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Apr 2011 |
Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Apr 2011 |
DBID | 97E RIA RIE AAYXX CITATION NPM 7QO 7SP 7TB 8FD FR3 L7M P64 7X8 |
DOI | 10.1109/TBCAS.2011.2141670 |
DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005–Present IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef PubMed Biotechnology Research Abstracts Electronics & Communications Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database Engineering Research Database Advanced Technologies Database with Aerospace Biotechnology and BioEngineering Abstracts MEDLINE - Academic |
DatabaseTitle | CrossRef PubMed Biotechnology Research Abstracts Technology Research Database Mechanical & Transportation Engineering Abstracts Electronics & Communications Abstracts Engineering Research Database Advanced Technologies Database with Aerospace Biotechnology and BioEngineering Abstracts MEDLINE - Academic |
DatabaseTitleList | PubMed Engineering Research Database Biotechnology Research Abstracts MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: RIE name: IEEE/IET Electronic Library url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISSN | 1940-9990 |
EndPage | 119 |
ExternalDocumentID | 2554881671 23851199 10_1109_TBCAS_2011_2141670 5759105 |
Genre | orig-research Journal Article |
GroupedDBID | --- 0R~ 29I 4.4 5GY 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACIWK ACPRK AENEX AETIX AFRAH AGQYO AGSQL AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD F5P HZ~ IFIPE IPLJI JAVBF LAI M43 O9- OCL P2P RIA RIE RNS AAYXX CITATION NPM RIG 7QO 7SP 7TB 8FD FR3 L7M P64 7X8 |
ID | FETCH-LOGICAL-c382t-dcdfbaf7984286ceed03a6ecd438729ad7eaed29ee84a3e10b7a44f68815205d3 |
IEDL.DBID | RIE |
ISSN | 1932-4545 |
IngestDate | Sat Sep 27 18:02:28 EDT 2025 Sun Sep 28 00:53:54 EDT 2025 Mon Jun 30 08:40:59 EDT 2025 Mon Jul 21 06:04:55 EDT 2025 Wed Oct 01 04:05:32 EDT 2025 Thu Apr 24 23:12:37 EDT 2025 Tue Aug 26 17:17:02 EDT 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 2 |
Language | English |
License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c382t-dcdfbaf7984286ceed03a6ecd438729ad7eaed29ee84a3e10b7a44f68815205d3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
PMID | 23851199 |
PQID | 914475477 |
PQPubID | 85510 |
PageCount | 8 |
ParticipantIDs | proquest_miscellaneous_1400397765 crossref_citationtrail_10_1109_TBCAS_2011_2141670 pubmed_primary_23851199 proquest_miscellaneous_874188169 crossref_primary_10_1109_TBCAS_2011_2141670 proquest_journals_914475477 ieee_primary_5759105 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2011-April 2011-04-00 2011-Apr 20110401 |
PublicationDateYYYYMMDD | 2011-04-01 |
PublicationDate_xml | – month: 04 year: 2011 text: 2011-April |
PublicationDecade | 2010 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: New York |
PublicationTitle | IEEE transactions on biomedical circuits and systems |
PublicationTitleAbbrev | TBCAS |
PublicationTitleAlternate | IEEE Trans Biomed Circuits Syst |
PublicationYear | 2011 |
Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
References | ref13 ref12 ref15 ref14 ref20 ref11 ref10 ref21 ref2 ref17 ref18 ref8 mollazadeh (ref16) 2009; 3 ref7 ref9 ref4 ref3 ref6 ref5 chae (ref19) 2008 wolpaw (ref1) 2002; 113 |
References_xml | – volume: 113 start-page: 767 year: 2002 ident: ref1 article-title: brain-computer interfaces for communication and control publication-title: Clin Neurophysiol doi: 10.1016/S1388-2457(02)00057-3 – ident: ref13 doi: 10.1016/j.jneumeth.2007.09.029 – ident: ref18 doi: 10.1093/cercor/bhi015 – ident: ref17 doi: 10.1109/TBCAS.2009.2031603 – start-page: 1760 year: 2008 ident: ref19 article-title: A 4-channel wearable wireless neural recording system publication-title: Proc IEEE Int Symp Circuits Sys – ident: ref6 doi: 10.1109/TBME.2007.895753 – ident: ref7 doi: 10.1016/j.jneumeth.2009.06.007 – ident: ref20 doi: 10.1088/1741-2560/6/6/066001 – volume: 3 start-page: 388 year: 2009 ident: ref16 article-title: Wireless micropower instrumentation for multimodal acquisition of electrical and chemical neural activity publication-title: IEEE Trans Biomed Circuits Syst doi: 10.1109/TBCAS.2009.2031877 – ident: ref10 doi: 10.1109/ISCAS.2010.5538034 – ident: ref4 doi: 10.1016/j.jneumeth.2005.04.017 – ident: ref21 doi: 10.1088/1741-2560/7/4/046002 – ident: ref14 doi: 10.1109/ISCAS.2010.5537299 – ident: ref12 doi: 10.1038/nn.2730 – ident: ref3 doi: 10.1016/j.ncl.2008.03.015 – ident: ref11 doi: 10.1109/TNSRE.2009.2021607 – ident: ref15 doi: 10.1109/TBCAS.2008.2005297 – ident: ref8 doi: 10.1109/TNSRE.2009.2023293 – ident: ref2 doi: 10.1016/j.conb.2004.10.005 – ident: ref5 doi: 10.1152/jn.00879.2005 – ident: ref9 doi: 10.1109/TNSRE.2009.2023298 |
SSID | ssj0056292 |
Score | 2.1087706 |
Snippet | Long-term monitoring of neuronal activity in awake behaving subjects can provide fundamental information about brain dynamics for neuroscience and... |
SourceID | proquest pubmed crossref ieee |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 112 |
SubjectTerms | Batteries Biopotential amplifier digital telemetry electrocorticogram electroencephalogram Field programmable gate arrays headmounted systems Lithium local field potentials Microcontrollers micropower instrumentation neural interface Product introduction Receivers Sensors Telemetry Transmitters ultra-wideband telemetry Very large scale integration Wireless communication wireless neural recording |
Title | A VLSI Neural Monitoring System With Ultra-Wideband Telemetry for Awake Behaving Subjects |
URI | https://ieeexplore.ieee.org/document/5759105 https://www.ncbi.nlm.nih.gov/pubmed/23851199 https://www.proquest.com/docview/914475477 https://www.proquest.com/docview/1400397765 https://www.proquest.com/docview/874188169 |
Volume | 5 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE/IET Electronic Library customDbUrl: eissn: 1940-9990 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0056292 issn: 1932-4545 databaseCode: RIE dateStart: 20070101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwEB6VnuDAqzxCARmJG2SbrJ3YPi4VVUGUS3dpOUVOPBFVqyzaTYTg1zMTJxEgirhEkTJOnMw4843t-QbgpZdWoZxXcepqGauSDmTKWVybWhPalz63nJx88jE_Xqn359n5DryecmEQsd98hjM-7dfy_brqeKrsgItJpkxYekNrG3K1xr8uufG-ADLjEebxzsYEmcQeLN8cLk4DW-c8JQCiufwbuSpeQrO_-aO-wMr1WLP3OUd34GTsbdhqcjnr2nJW_fiDyPF_X-cu3B7Ap1gEa7kHO9jch1u_UBLuweeF-PTh9J1g0g4SDUOeL4nAbS7OLtovYnXVblx8duGxdI0XS-RN6O3muyAILBbf3CWKQLzI7bqS53q2D2B19HZ5eBwP5RfiSpp5G_vK16WrtTUUouTsTBPpcqy8koYgufMaHfq5RTTKSUyTUjul6twYwgRJ5uVD2G3WDT4GoRIyFVMqXxP-qpnDnyKVirEa2tTpLIJ0VEJRDdzkXCLjquhjlMQWvQ4L1mEx6DCCV1Obr4GZ45_Se6yASXL49hHsj7ouhsG7LWzKLIhK6wheTFdp1PFSimtw3W0pYOKkZq1zuoO4RsYwMZBJcxvBo2BF09NH43vy917tw80wdc0bhJ7Cbrvp8Blhn7Z83hv9T97o_Bo |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwEB5V5QAceJXHUh5G4gbZJhsnto9LRbWF3V66S8spcuKJqFpl0W4iBL-emTiJAFHEJYqUceJkxplvbM83AK9dbCTGkyKIbBkHMqcDmXISlLpUhPZjlxpOTl6cpLOV_HCenO_A2yEXBhHbzWc45tN2Ld-ti4anyg64mGTEhKU3EooqlM_W6v-75MjbEsiMSJjJO-lTZEJzsHx3OD31fJ2TiCCI4gJw5Kx4Ec385pHaEivXo83W6xzdhUXfX7_Z5HLc1Pm4-PEHleP_vtA9uNPBTzH19nIfdrB6ALd_ISXcg89T8Wl-eiyYtoNE_aDnS8Kzm4uzi_qLWF3VGxucXTjMbeXEEnkber35LggEi-k3e4nCUy9yuybn2Z7tQ1gdvV8ezoKuAENQxHpSB65wZW5LZTQFKSm70zC2KRZOxppAuXUKLbqJQdTSxhiFubJSlqnWhArCxMWPYLdaV_gEhAzJWHQuXUkIrGQWf4pVCkZraCKrkhFEvRKyomMn5yIZV1kbpYQma3WYsQ6zTocjeDO0-eq5Of4pvccKGCS7bz-C_V7XWTd8t5mJmAdRKjWCV8NVGne8mGIrXDdbCpk4rVmplO4grpHRTA2ko9SM4LG3ouHpvfE9_XuvXsLN2XIxz-bHJx_34ZafyObtQs9gt940-JyQUJ2_aAfAT0OH_2s |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+VLSI+Neural+Monitoring+System+With+Ultra-Wideband+Telemetry+for+Awake+Behaving+Subjects&rft.jtitle=IEEE+transactions+on+biomedical+circuits+and+systems&rft.au=Greenwald%2C+Elliot&rft.au=Mollazadeh%2C+Mohsen&rft.au=Hu%2C+Charles&rft.au=Tang%2C+Wei&rft.date=2011-04-01&rft.pub=The+Institute+of+Electrical+and+Electronics+Engineers%2C+Inc.+%28IEEE%29&rft.issn=1932-4545&rft.eissn=1940-9990&rft.volume=5&rft.issue=2&rft.spage=112&rft_id=info:doi/10.1109%2FTBCAS.2011.2141670&rft.externalDBID=NO_FULL_TEXT&rft.externalDocID=2554881671 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-4545&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-4545&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-4545&client=summon |