Design of the multi-channel electroencephalography-based brain-computer interface with novel dry sensors
The traditional brain-computer interface (BCI) system measures the electroencephalography (EEG) signals by the wet sensors with the conductive gel and skin preparation processes. To overcome the limitations of traditional BCI system with conventional wet sensors, a wireless and wearable multi-channe...
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| container_volume | 2012 |
| creator | Wu, Shang-Lin Liao, Lun-De Liou, Chang-Hong Chen, Shi-An Ko, Li-Wei Chen, Bo-Wei Wang, Po-Sheng Chen, Sheng-Fu Lin, Chin-Teng |
| description | The traditional brain-computer interface (BCI) system measures the electroencephalography (EEG) signals by the wet sensors with the conductive gel and skin preparation processes. To overcome the limitations of traditional BCI system with conventional wet sensors, a wireless and wearable multi-channel EEG-based BCI system is proposed in this study, including the wireless EEG data acquisition device, dry spring-loaded sensors, a size-adjustable soft cap. The dry spring-loaded sensors are made of metal conductors, which can measure the EEG signals without skin preparation and conductive gel. In addition, the proposed system provides a size-adjustable soft cap that can be used to fit user's head properly. Indeed, the results are shown that the proposed system can properly and effectively measure the EEG signals with the developed cap and sensors, even under movement. In words, the developed wireless and wearable BCI system is able to be used in cognitive neuroscience applications. |
| doi_str_mv | 10.1109/EMBC.2012.6346298 |
| format | Conference Proceeding |
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To overcome the limitations of traditional BCI system with conventional wet sensors, a wireless and wearable multi-channel EEG-based BCI system is proposed in this study, including the wireless EEG data acquisition device, dry spring-loaded sensors, a size-adjustable soft cap. The dry spring-loaded sensors are made of metal conductors, which can measure the EEG signals without skin preparation and conductive gel. In addition, the proposed system provides a size-adjustable soft cap that can be used to fit user's head properly. Indeed, the results are shown that the proposed system can properly and effectively measure the EEG signals with the developed cap and sensors, even under movement. In words, the developed wireless and wearable BCI system is able to be used in cognitive neuroscience applications.</description><identifier>ISSN: 1094-687X</identifier><identifier>ISSN: 1557-170X</identifier><identifier>ISBN: 1424441196</identifier><identifier>ISBN: 9781424441198</identifier><identifier>EISSN: 1558-4615</identifier><identifier>EISBN: 9781457717871</identifier><identifier>EISBN: 1457717875</identifier><identifier>DOI: 10.1109/EMBC.2012.6346298</identifier><identifier>PMID: 23366259</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Blinking ; Brain-computer interface (BCI) ; Brain-Computer Interfaces ; Data acquisition device ; Dry sensor ; Electroencephalography ; Electroencephalography (EEG) ; Electroencephalography - instrumentation ; Equipment Design ; Humans ; Probes ; Scalp ; Sensor systems ; Signal Processing, Computer-Assisted ; Size-adjustable soft cap ; Wireless communication ; Wireless sensor networks ; Wireless Technology</subject><ispartof>2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012, Vol.2012, p.1793-1797</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6346298$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6346298$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23366259$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Shang-Lin</creatorcontrib><creatorcontrib>Liao, Lun-De</creatorcontrib><creatorcontrib>Liou, Chang-Hong</creatorcontrib><creatorcontrib>Chen, Shi-An</creatorcontrib><creatorcontrib>Ko, Li-Wei</creatorcontrib><creatorcontrib>Chen, Bo-Wei</creatorcontrib><creatorcontrib>Wang, Po-Sheng</creatorcontrib><creatorcontrib>Chen, Sheng-Fu</creatorcontrib><creatorcontrib>Lin, Chin-Teng</creatorcontrib><title>Design of the multi-channel electroencephalography-based brain-computer interface with novel dry sensors</title><title>2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society</title><addtitle>EMBC</addtitle><addtitle>Conf Proc IEEE Eng Med Biol Soc</addtitle><description>The traditional brain-computer interface (BCI) system measures the electroencephalography (EEG) signals by the wet sensors with the conductive gel and skin preparation processes. To overcome the limitations of traditional BCI system with conventional wet sensors, a wireless and wearable multi-channel EEG-based BCI system is proposed in this study, including the wireless EEG data acquisition device, dry spring-loaded sensors, a size-adjustable soft cap. The dry spring-loaded sensors are made of metal conductors, which can measure the EEG signals without skin preparation and conductive gel. In addition, the proposed system provides a size-adjustable soft cap that can be used to fit user's head properly. Indeed, the results are shown that the proposed system can properly and effectively measure the EEG signals with the developed cap and sensors, even under movement. In words, the developed wireless and wearable BCI system is able to be used in cognitive neuroscience applications.</description><subject>Blinking</subject><subject>Brain-computer interface (BCI)</subject><subject>Brain-Computer Interfaces</subject><subject>Data acquisition device</subject><subject>Dry sensor</subject><subject>Electroencephalography</subject><subject>Electroencephalography (EEG)</subject><subject>Electroencephalography - instrumentation</subject><subject>Equipment Design</subject><subject>Humans</subject><subject>Probes</subject><subject>Scalp</subject><subject>Sensor systems</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Size-adjustable soft cap</subject><subject>Wireless communication</subject><subject>Wireless sensor networks</subject><subject>Wireless Technology</subject><issn>1094-687X</issn><issn>1557-170X</issn><issn>1558-4615</issn><isbn>1424441196</isbn><isbn>9781424441198</isbn><isbn>9781457717871</isbn><isbn>1457717875</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNo9UM1OwzAYC39iY-wBEBLKC3TkS5M0OcIYP9IQF5C4TWnzdQ3q2irpQHt7Km3gg32wZckm5ArYDICZ28Xr_XzGGfCZSoXiRh-Rqck0CJllkOkMjskYpNSJUCBPyAUILoQAMOp0MJgRidLZ54hMY_xiAzTolIlzMuJpqhSXZkyqB4x-3dC2pH2FdLOte58UlW0arCnWWPShxabArrJ1uw62q3ZJbiM6mgfrm6RoN922x0B9M3BpC6Q_vq9o034PBS7saMQmtiFekrPS1hGnB52Qj8fF-_w5Wb49vczvlolPGfRJaZRjnHOrmbCMO14WKAujZFlqa8GANqnMpZXo8twhWq2dlkqyvJQ6czydkJt9b7fNN-hWXfAbG3arv8lD4Hof8Ij4bx8OTn8B3axqMg</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Wu, Shang-Lin</creator><creator>Liao, Lun-De</creator><creator>Liou, Chang-Hong</creator><creator>Chen, Shi-An</creator><creator>Ko, Li-Wei</creator><creator>Chen, Bo-Wei</creator><creator>Wang, Po-Sheng</creator><creator>Chen, Sheng-Fu</creator><creator>Lin, Chin-Teng</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope></search><sort><creationdate>20120101</creationdate><title>Design of the multi-channel electroencephalography-based brain-computer interface with novel dry sensors</title><author>Wu, Shang-Lin ; Liao, Lun-De ; Liou, Chang-Hong ; Chen, Shi-An ; Ko, Li-Wei ; Chen, Bo-Wei ; Wang, Po-Sheng ; Chen, Sheng-Fu ; Lin, Chin-Teng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i301t-f96d0222a804a02d2fce5c965ff8aa1918935b5a5edbbdeea88d85650bf587d23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Blinking</topic><topic>Brain-computer interface (BCI)</topic><topic>Brain-Computer Interfaces</topic><topic>Data acquisition device</topic><topic>Dry sensor</topic><topic>Electroencephalography</topic><topic>Electroencephalography (EEG)</topic><topic>Electroencephalography - instrumentation</topic><topic>Equipment Design</topic><topic>Humans</topic><topic>Probes</topic><topic>Scalp</topic><topic>Sensor systems</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Size-adjustable soft cap</topic><topic>Wireless communication</topic><topic>Wireless sensor networks</topic><topic>Wireless Technology</topic><toplevel>online_resources</toplevel><creatorcontrib>Wu, Shang-Lin</creatorcontrib><creatorcontrib>Liao, Lun-De</creatorcontrib><creatorcontrib>Liou, Chang-Hong</creatorcontrib><creatorcontrib>Chen, Shi-An</creatorcontrib><creatorcontrib>Ko, Li-Wei</creatorcontrib><creatorcontrib>Chen, Bo-Wei</creatorcontrib><creatorcontrib>Wang, Po-Sheng</creatorcontrib><creatorcontrib>Chen, Sheng-Fu</creatorcontrib><creatorcontrib>Lin, Chin-Teng</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wu, Shang-Lin</au><au>Liao, Lun-De</au><au>Liou, Chang-Hong</au><au>Chen, Shi-An</au><au>Ko, Li-Wei</au><au>Chen, Bo-Wei</au><au>Wang, Po-Sheng</au><au>Chen, Sheng-Fu</au><au>Lin, Chin-Teng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Design of the multi-channel electroencephalography-based brain-computer interface with novel dry sensors</atitle><btitle>2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society</btitle><stitle>EMBC</stitle><addtitle>Conf Proc IEEE Eng Med Biol Soc</addtitle><date>2012-01-01</date><risdate>2012</risdate><volume>2012</volume><spage>1793</spage><epage>1797</epage><pages>1793-1797</pages><issn>1094-687X</issn><issn>1557-170X</issn><eissn>1558-4615</eissn><isbn>1424441196</isbn><isbn>9781424441198</isbn><eisbn>9781457717871</eisbn><eisbn>1457717875</eisbn><abstract>The traditional brain-computer interface (BCI) system measures the electroencephalography (EEG) signals by the wet sensors with the conductive gel and skin preparation processes. To overcome the limitations of traditional BCI system with conventional wet sensors, a wireless and wearable multi-channel EEG-based BCI system is proposed in this study, including the wireless EEG data acquisition device, dry spring-loaded sensors, a size-adjustable soft cap. The dry spring-loaded sensors are made of metal conductors, which can measure the EEG signals without skin preparation and conductive gel. In addition, the proposed system provides a size-adjustable soft cap that can be used to fit user's head properly. Indeed, the results are shown that the proposed system can properly and effectively measure the EEG signals with the developed cap and sensors, even under movement. In words, the developed wireless and wearable BCI system is able to be used in cognitive neuroscience applications.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>23366259</pmid><doi>10.1109/EMBC.2012.6346298</doi><tpages>5</tpages></addata></record> |
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| identifier | ISSN: 1094-687X |
| ispartof | 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012, Vol.2012, p.1793-1797 |
| issn | 1094-687X 1557-170X 1558-4615 |
| language | eng |
| recordid | cdi_ieee_primary_6346298 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Blinking Brain-computer interface (BCI) Brain-Computer Interfaces Data acquisition device Dry sensor Electroencephalography Electroencephalography (EEG) Electroencephalography - instrumentation Equipment Design Humans Probes Scalp Sensor systems Signal Processing, Computer-Assisted Size-adjustable soft cap Wireless communication Wireless sensor networks Wireless Technology |
| title | Design of the multi-channel electroencephalography-based brain-computer interface with novel dry sensors |
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