Continuous Vital Monitoring During Sleep and Light Activity Using Carbon-Black Elastomer Sensors
The comfortable, continuous monitoring of vital parameters is still a challenge. The long-term measurement of respiration and cardiovascular signals is required to diagnose cardiovascular and respiratory diseases. Similarly, sleep quality assessment and the recovery period following acute treatments...
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| Vydané v: | Sensors (Basel, Switzerland) Ročník 20; číslo 6; s. 1583 |
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Switzerland
MDPI
12.03.2020
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| Abstract | The comfortable, continuous monitoring of vital parameters is still a challenge. The long-term measurement of respiration and cardiovascular signals is required to diagnose cardiovascular and respiratory diseases. Similarly, sleep quality assessment and the recovery period following acute treatments require long-term vital parameter datalogging. To address these requirements, we have developed “VitalCore”, a wearable continuous vital parameter monitoring device in the form of a T-shirt targeting the uninterrupted monitoring of respiration, pulse, and actigraphy. VitalCore uses polymer-based stretchable resistive bands as the primary sensor to capture breathing and pulse patterns from chest expansion. The carbon black-impregnated polymer is implemented in a U-shaped configuration and attached to the T-shirt with “interfacing” material along with the accompanying electronics. In this paper, VitalCore is bench tested and compared to gold standard respiration and pulse measurements to verify its functionality and further to assess the quality of data captured during sleep and during light exercise (walking). We show that these polymer-based sensors could identify respiratory peaks with a sensitivity of 99.44%, precision of 96.23%, and false-negative rate of 0.557% during sleep. We also show that this T-shirt configuration allows the wearer to sleep in all sleeping positions with a negligible difference of data quality. The device was also able to capture breathing during gait with 88.9–100% accuracy in respiratory peak detection. |
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| AbstractList | The comfortable, continuous monitoring of vital parameters is still a challenge. The long-term measurement of respiration and cardiovascular signals is required to diagnose cardiovascular and respiratory diseases. Similarly, sleep quality assessment and the recovery period following acute treatments require long-term vital parameter datalogging. To address these requirements, we have developed “VitalCore”, a wearable continuous vital parameter monitoring device in the form of a T-shirt targeting the uninterrupted monitoring of respiration, pulse, and actigraphy. VitalCore uses polymer-based stretchable resistive bands as the primary sensor to capture breathing and pulse patterns from chest expansion. The carbon black-impregnated polymer is implemented in a U-shaped configuration and attached to the T-shirt with “interfacing” material along with the accompanying electronics. In this paper, VitalCore is bench tested and compared to gold standard respiration and pulse measurements to verify its functionality and further to assess the quality of data captured during sleep and during light exercise (walking). We show that these polymer-based sensors could identify respiratory peaks with a sensitivity of 99.44%, precision of 96.23%, and false-negative rate of 0.557% during sleep. We also show that this T-shirt configuration allows the wearer to sleep in all sleeping positions with a negligible difference of data quality. The device was also able to capture breathing during gait with 88.9–100% accuracy in respiratory peak detection. The comfortable, continuous monitoring of vital parameters is still a challenge. The long-term measurement of respiration and cardiovascular signals is required to diagnose cardiovascular and respiratory diseases. Similarly, sleep quality assessment and the recovery period following acute treatments require long-term vital parameter datalogging. To address these requirements, we have developed "VitalCore", a wearable continuous vital parameter monitoring device in the form of a T-shirt targeting the uninterrupted monitoring of respiration, pulse, and actigraphy. VitalCore uses polymer-based stretchable resistive bands as the primary sensor to capture breathing and pulse patterns from chest expansion. The carbon black-impregnated polymer is implemented in a U-shaped configuration and attached to the T-shirt with "interfacing" material along with the accompanying electronics. In this paper, VitalCore is bench tested and compared to gold standard respiration and pulse measurements to verify its functionality and further to assess the quality of data captured during sleep and during light exercise (walking). We show that these polymer-based sensors could identify respiratory peaks with a sensitivity of 99.44%, precision of 96.23%, and false-negative rate of 0.557% during sleep. We also show that this T-shirt configuration allows the wearer to sleep in all sleeping positions with a negligible difference of data quality. The device was also able to capture breathing during gait with 88.9−100% accuracy in respiratory peak detection. The comfortable, continuous monitoring of vital parameters is still a challenge. The long-term measurement of respiration and cardiovascular signals is required to diagnose cardiovascular and respiratory diseases. Similarly, sleep quality assessment and the recovery period following acute treatments require long-term vital parameter datalogging. To address these requirements, we have developed "VitalCore", a wearable continuous vital parameter monitoring device in the form of a T-shirt targeting the uninterrupted monitoring of respiration, pulse, and actigraphy. VitalCore uses polymer-based stretchable resistive bands as the primary sensor to capture breathing and pulse patterns from chest expansion. The carbon black-impregnated polymer is implemented in a U-shaped configuration and attached to the T-shirt with "interfacing" material along with the accompanying electronics. In this paper, VitalCore is bench tested and compared to gold standard respiration and pulse measurements to verify its functionality and further to assess the quality of data captured during sleep and during light exercise (walking). We show that these polymer-based sensors could identify respiratory peaks with a sensitivity of 99.44%, precision of 96.23%, and false-negative rate of 0.557% during sleep. We also show that this T-shirt configuration allows the wearer to sleep in all sleeping positions with a negligible difference of data quality. The device was also able to capture breathing during gait with 88.9%-100% accuracy in respiratory peak detection.The comfortable, continuous monitoring of vital parameters is still a challenge. The long-term measurement of respiration and cardiovascular signals is required to diagnose cardiovascular and respiratory diseases. Similarly, sleep quality assessment and the recovery period following acute treatments require long-term vital parameter datalogging. To address these requirements, we have developed "VitalCore", a wearable continuous vital parameter monitoring device in the form of a T-shirt targeting the uninterrupted monitoring of respiration, pulse, and actigraphy. VitalCore uses polymer-based stretchable resistive bands as the primary sensor to capture breathing and pulse patterns from chest expansion. The carbon black-impregnated polymer is implemented in a U-shaped configuration and attached to the T-shirt with "interfacing" material along with the accompanying electronics. In this paper, VitalCore is bench tested and compared to gold standard respiration and pulse measurements to verify its functionality and further to assess the quality of data captured during sleep and during light exercise (walking). We show that these polymer-based sensors could identify respiratory peaks with a sensitivity of 99.44%, precision of 96.23%, and false-negative rate of 0.557% during sleep. We also show that this T-shirt configuration allows the wearer to sleep in all sleeping positions with a negligible difference of data quality. The device was also able to capture breathing during gait with 88.9%-100% accuracy in respiratory peak detection. |
| Author | Jayarathna, Titus Breen, Paul P. Gargiulo, Gaetano D. |
| AuthorAffiliation | 2 School of Engineering, Western Sydney University, Penrith, NSW 2751, Australia; G.Gargiulo@westernsydney.edu.au 3 Translational Health Research Institute, Western Sydney University, Campbelltown, NSW 2560, Australia 1 The MARCS Institute, Western Sydney University, Milperra, NSW 2560, Australia; P.Breen@westernsydney.edu.au |
| AuthorAffiliation_xml | – name: 1 The MARCS Institute, Western Sydney University, Milperra, NSW 2560, Australia; P.Breen@westernsydney.edu.au – name: 2 School of Engineering, Western Sydney University, Penrith, NSW 2751, Australia; G.Gargiulo@westernsydney.edu.au – name: 3 Translational Health Research Institute, Western Sydney University, Campbelltown, NSW 2560, Australia |
| Author_xml | – sequence: 1 givenname: Titus orcidid: 0000-0002-1849-4235 surname: Jayarathna fullname: Jayarathna, Titus – sequence: 2 givenname: Gaetano D. orcidid: 0000-0002-2616-2804 surname: Gargiulo fullname: Gargiulo, Gaetano D. – sequence: 3 givenname: Paul P. surname: Breen fullname: Breen, Paul P. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32178307$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1109/BIOCAS.2019.8918983 10.1016/S0140-6736(84)90062-X 10.3390/s18040973 10.1109/IEMBS.2009.5333716 10.1109/EMBC.2015.7319746 10.1109/BIOCAS.2019.8918716 10.1371/journal.pone.0151983 10.5665/sleep.3392 10.1109/IEMBS.2007.4352895 10.3390/s121013167 10.1109/TBME.2013.2280132 10.1038/s41598-019-48267-1 10.3390/machines5040022 10.1016/0167-8760(86)90006-1 10.1007/978-1-4757-2514-8 10.1016/S0300-9572(02)00100-4 10.20944/preprints201609.0079.v1 10.1109/WF-IoT.2019.8767316 10.1109/TBME.2003.817636 10.1145/3351247 10.1016/j.smrv.2013.12.002 10.1002/adma.201504366 10.1007/BF02600071 10.3390/s20010090 10.1177/0887302X8900700308 10.3390/s19163581 10.5664/JCSM.1328 10.1111/j.1365-2044.2005.04186.x 10.1155/2015/151859 10.1016/j.resuscitation.2006.08.020 10.1046/j.1365-2044.2003.03258.x 10.1201/9781420035841 10.1109/TBCAS.2008.2008817 10.3390/s19204495 10.1103/PhysRevLett.85.3736 10.5694/j.1326-5377.2008.tb01825.x |
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| SubjectTerms | conductive polymer continuous respiratory monitoring Elastomers - chemistry Electrocardiography - instrumentation Electrocardiography - methods Heart Rate home sleep test Humans Respiratory Rate Sleep - physiology sleep monitoring Soot - chemistry vital parameter monitoring Walking Wearable Electronic Devices |
| Title | Continuous Vital Monitoring During Sleep and Light Activity Using Carbon-Black Elastomer Sensors |
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