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Enhancement of Remote Vital Sign Monitoring Detection Accuracy Using Multiple-Input Multiple-Output 77 GHz FMCW Radar
Remote non-contact monitoring of human vital signs has recently received lots of attention due to the advancement and availability of millimeter wave (mmWave) radars. These sensors are significantly reduced in size, but still face serious electromagnetic (EM) propagation loss and signal obstructions...
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| Published in: | IEEE journal of electromagnetics, RF and microwaves in medicine and biology RF and microwaves in medicine and biology, 2022-03, Vol.6 (1), p.111-122 |
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| container_title | IEEE journal of electromagnetics, RF and microwaves in medicine and biology |
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| creator | Dai, Toan K. Vo Oleksak, Kellen Kvelashvili, Tsotne Foroughian, Farnaz Bauder, Chandler Theilmann, Paul Fathy, Aly E. Kilic, Ozlem |
| description | Remote non-contact monitoring of human vital signs has recently received lots of attention due to the advancement and availability of millimeter wave (mmWave) radars. These sensors are significantly reduced in size, but still face serious electromagnetic (EM) propagation loss and signal obstructions resulting in lower signal-to-noise ratios (SNR). As mmWave received signals also have higher sensitivity to body motions, these effects typically degrade the accuracy of heart rate (HR) detection. To overcome this challenge, MIMO configuration can be used to improve the SNR level by taking advantage of its channel diversity. We use here a Frequency Modulated Continuous Wave (FMCW) radar from Texas Instruments (TI) at 77 GHz to collect data from 192 channels. Additionally, vital sign information is extracted using Arctangent Demodulation (AD) and Maximal Ratio Combining (MRC) combined with an adapted-wavelet Continuous Wavelet Transform (CWT) are utilized to demonstrate improvement of HR estimation accuracy. |
| doi_str_mv | 10.1109/JERM.2021.3082807 |
| format | article |
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We use here a Frequency Modulated Continuous Wave (FMCW) radar from Texas Instruments (TI) at 77 GHz to collect data from 192 channels. Additionally, vital sign information is extracted using Arctangent Demodulation (AD) and Maximal Ratio Combining (MRC) combined with an adapted-wavelet Continuous Wavelet Transform (CWT) are utilized to demonstrate improvement of HR estimation accuracy.</description><identifier>ISSN: 2469-7249</identifier><identifier>EISSN: 2469-7257</identifier><identifier>DOI: 10.1109/JERM.2021.3082807</identifier><identifier>CODEN: IJERLV</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Accuracy ; arctangent demodulation (AD) ; Continuous radiation ; Continuous wavelet transform ; Continuous wavelet transforms ; CWT with Adapted wavelet ; Demodulation ; Estimation ; frequency modulated continuous wave (FMCW) radar ; Heart rate ; maximal ratio combining (MRC) ; millimeter wave (mmWave) ; Millimeter waves ; Monitoring ; multiple-input multiple-output (MIMO) ; Noise propagation ; Obstructions ; Radar ; Radar antennas ; Remote monitoring ; Remote vital signs ; Signal to noise ratio ; Telemedicine ; Wavelet transforms</subject><ispartof>IEEE journal of electromagnetics, RF and microwaves in medicine and biology, 2022-03, Vol.6 (1), p.111-122</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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As mmWave received signals also have higher sensitivity to body motions, these effects typically degrade the accuracy of heart rate (HR) detection. To overcome this challenge, MIMO configuration can be used to improve the SNR level by taking advantage of its channel diversity. We use here a Frequency Modulated Continuous Wave (FMCW) radar from Texas Instruments (TI) at 77 GHz to collect data from 192 channels. Additionally, vital sign information is extracted using Arctangent Demodulation (AD) and Maximal Ratio Combining (MRC) combined with an adapted-wavelet Continuous Wavelet Transform (CWT) are utilized to demonstrate improvement of HR estimation accuracy.</description><subject>Accuracy</subject><subject>arctangent demodulation (AD)</subject><subject>Continuous radiation</subject><subject>Continuous wavelet transform</subject><subject>Continuous wavelet transforms</subject><subject>CWT with Adapted wavelet</subject><subject>Demodulation</subject><subject>Estimation</subject><subject>frequency modulated continuous wave (FMCW) radar</subject><subject>Heart rate</subject><subject>maximal ratio combining (MRC)</subject><subject>millimeter wave (mmWave)</subject><subject>Millimeter waves</subject><subject>Monitoring</subject><subject>multiple-input multiple-output (MIMO)</subject><subject>Noise propagation</subject><subject>Obstructions</subject><subject>Radar</subject><subject>Radar antennas</subject><subject>Remote monitoring</subject><subject>Remote vital signs</subject><subject>Signal to noise ratio</subject><subject>Telemedicine</subject><subject>Wavelet transforms</subject><issn>2469-7249</issn><issn>2469-7257</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpFkMtOwzAQRSMEElXpByA2llin-JU4XlalL9SoUqGwjBzHKa5SOzjOonw9iVqV1czVnDujuUHwiOAYIchf3mbbdIwhRmMCE5xAdhMMMI15yHDEbq895ffBqGkOEELEEswpHQTtzHwLI9VRGQ9sCbbqaL0Cn9qLCrzrvQGpNdpbp80evCqvpNfWgImUrRPyBHZNP0jbyuu6UuHK1K3_l5vW95oxsFj-gnk6_QJbUQj3ENyVomrU6FKHwW4--5guw_VmsZpO1qHEnPiQ0BJTKXAew-6rmGEZFVzkiGAsBYdJjhjEKpKoiFicx6RQeVFKAQsR0SSRERkGz-e9tbM_rWp8drCtM93JDMcEEg4ZwR2FzpR0tmmcKrPa6aNwpwzBrA846wPO-oCzS8Cd5-ns0UqpK88p4R1G_gD9wnZ3</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Dai, Toan K. 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Vo</au><au>Oleksak, Kellen</au><au>Kvelashvili, Tsotne</au><au>Foroughian, Farnaz</au><au>Bauder, Chandler</au><au>Theilmann, Paul</au><au>Fathy, Aly E.</au><au>Kilic, Ozlem</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhancement of Remote Vital Sign Monitoring Detection Accuracy Using Multiple-Input Multiple-Output 77 GHz FMCW Radar</atitle><jtitle>IEEE journal of electromagnetics, RF and microwaves in medicine and biology</jtitle><stitle>JERM</stitle><date>2022-03-01</date><risdate>2022</risdate><volume>6</volume><issue>1</issue><spage>111</spage><epage>122</epage><pages>111-122</pages><issn>2469-7249</issn><eissn>2469-7257</eissn><coden>IJERLV</coden><abstract>Remote non-contact monitoring of human vital signs has recently received lots of attention due to the advancement and availability of millimeter wave (mmWave) radars. These sensors are significantly reduced in size, but still face serious electromagnetic (EM) propagation loss and signal obstructions resulting in lower signal-to-noise ratios (SNR). As mmWave received signals also have higher sensitivity to body motions, these effects typically degrade the accuracy of heart rate (HR) detection. To overcome this challenge, MIMO configuration can be used to improve the SNR level by taking advantage of its channel diversity. We use here a Frequency Modulated Continuous Wave (FMCW) radar from Texas Instruments (TI) at 77 GHz to collect data from 192 channels. 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| ispartof | IEEE journal of electromagnetics, RF and microwaves in medicine and biology, 2022-03, Vol.6 (1), p.111-122 |
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| source | IEEE Electronic Library (IEL) Journals |
| subjects | Accuracy arctangent demodulation (AD) Continuous radiation Continuous wavelet transform Continuous wavelet transforms CWT with Adapted wavelet Demodulation Estimation frequency modulated continuous wave (FMCW) radar Heart rate maximal ratio combining (MRC) millimeter wave (mmWave) Millimeter waves Monitoring multiple-input multiple-output (MIMO) Noise propagation Obstructions Radar Radar antennas Remote monitoring Remote vital signs Signal to noise ratio Telemedicine Wavelet transforms |
| title | Enhancement of Remote Vital Sign Monitoring Detection Accuracy Using Multiple-Input Multiple-Output 77 GHz FMCW Radar |
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