Sensors for Vital Signs Monitoring

Sensor technology for monitoring vital signs is an important topic for various service applications, such as entertainment and personalization platforms and Internet of Things (IoT) systems, as well as traditional medical purposes, such as disease indication judgments and predictions. Vital signs fo...

Full description

Saved in:
Bibliographic Details
HerausgeberIn:
Sonstige:
Year of Publication:2021
Language:English
Physical Description:1 electronic resource (141 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993546030904498
ctrlnum (CKB)5400000000044060
(oapen)https://directory.doabooks.org/handle/20.500.12854/76670
(EXLCZ)995400000000044060
collection bib_alma
record_format marc
spelling Yang, Jong-Ryul edt
Sensors for Vital Signs Monitoring
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (141 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Sensor technology for monitoring vital signs is an important topic for various service applications, such as entertainment and personalization platforms and Internet of Things (IoT) systems, as well as traditional medical purposes, such as disease indication judgments and predictions. Vital signs for monitoring include respiration and heart rates, body temperature, blood pressure, oxygen saturation, electrocardiogram, blood glucose concentration, brain waves, etc. Gait and walking length can also be regarded as vital signs because they can indirectly indicate human activity and status. Sensing technologies include contact sensors such as electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmogram (PPG), non-contact sensors such as ballistocardiography (BCG), and invasive/non-invasive sensors for diagnoses of variations in blood characteristics or body fluids. Radar, vision, and infrared sensors can also be useful technologies for detecting vital signs from the movement of humans or organs. Signal processing, extraction, and analysis techniques are important in industrial applications along with hardware implementation techniques. Battery management and wireless power transmission technologies, the design and optimization of low-power circuits, and systems for continuous monitoring and data collection/transmission should also be considered with sensor technologies. In addition, machine-learning-based diagnostic technology can be used for extracting meaningful information from continuous monitoring data.
English
Technology: general issues bicssc
Energy industries & utilities bicssc
cardiopulmonary resuscitation (CPR)
electroencephalogram (EEG)
hemodynamic data
carotid blood flow (CBF)
cerebral circulation
frequency-shift keying radar
cross-correlation
envelope detection
continuous-wave radar
frequency discrimination
vital-signs monitoring
heartbeat accuracy improvement
heartbeat detection
absolute distance measurement
radar signal processing
3D+t modeling
coronary artery
non-rigid registration
cage deformation
4D CT
passenger detection
CW radar
radar feature vector
radar machine learning
wearable sensors
physiology
medical monitoring
vital signs
compensatory reserve
ultra-high resolution
cone-beam computed tomography
low-contrast object
optimal filter
modulation transfer function
noise power spectrum
doppler cardiogram
wavelet transform
denoising
mother wavelet function
decomposition level
signal decomposition
signal-to-noise-ratio
3-0365-1766-9
3-0365-1765-0
Hyun, Eugin edt
Kim, Sun Kwon edt
Yang, Jong-Ryul oth
Hyun, Eugin oth
Kim, Sun Kwon oth
language English
format eBook
author2 Hyun, Eugin
Kim, Sun Kwon
Yang, Jong-Ryul
Hyun, Eugin
Kim, Sun Kwon
author_facet Hyun, Eugin
Kim, Sun Kwon
Yang, Jong-Ryul
Hyun, Eugin
Kim, Sun Kwon
author2_variant j r y jry
e h eh
s k k sk skk
author2_role HerausgeberIn
HerausgeberIn
Sonstige
Sonstige
Sonstige
title Sensors for Vital Signs Monitoring
spellingShingle Sensors for Vital Signs Monitoring
title_full Sensors for Vital Signs Monitoring
title_fullStr Sensors for Vital Signs Monitoring
title_full_unstemmed Sensors for Vital Signs Monitoring
title_auth Sensors for Vital Signs Monitoring
title_new Sensors for Vital Signs Monitoring
title_sort sensors for vital signs monitoring
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (141 p.)
isbn 3-0365-1766-9
3-0365-1765-0
illustrated Not Illustrated
work_keys_str_mv AT yangjongryul sensorsforvitalsignsmonitoring
AT hyuneugin sensorsforvitalsignsmonitoring
AT kimsunkwon sensorsforvitalsignsmonitoring
status_str n
ids_txt_mv (CKB)5400000000044060
(oapen)https://directory.doabooks.org/handle/20.500.12854/76670
(EXLCZ)995400000000044060
carrierType_str_mv cr
is_hierarchy_title Sensors for Vital Signs Monitoring
author2_original_writing_str_mv noLinkedField
noLinkedField
noLinkedField
noLinkedField
noLinkedField
_version_ 1787548734684397568
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04168nam-a2200853z--4500</leader><controlfield tag="001">993546030904498</controlfield><controlfield tag="005">20231214133218.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202201s2021 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5400000000044060</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/76670</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000044060</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yang, Jong-Ryul</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sensors for Vital Signs Monitoring</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel, Switzerland</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (141 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Sensor technology for monitoring vital signs is an important topic for various service applications, such as entertainment and personalization platforms and Internet of Things (IoT) systems, as well as traditional medical purposes, such as disease indication judgments and predictions. Vital signs for monitoring include respiration and heart rates, body temperature, blood pressure, oxygen saturation, electrocardiogram, blood glucose concentration, brain waves, etc. Gait and walking length can also be regarded as vital signs because they can indirectly indicate human activity and status. Sensing technologies include contact sensors such as electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmogram (PPG), non-contact sensors such as ballistocardiography (BCG), and invasive/non-invasive sensors for diagnoses of variations in blood characteristics or body fluids. Radar, vision, and infrared sensors can also be useful technologies for detecting vital signs from the movement of humans or organs. Signal processing, extraction, and analysis techniques are important in industrial applications along with hardware implementation techniques. Battery management and wireless power transmission technologies, the design and optimization of low-power circuits, and systems for continuous monitoring and data collection/transmission should also be considered with sensor technologies. In addition, machine-learning-based diagnostic technology can be used for extracting meaningful information from continuous monitoring data.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Technology: general issues</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Energy industries &amp; utilities</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cardiopulmonary resuscitation (CPR)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electroencephalogram (EEG)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hemodynamic data</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">carotid blood flow (CBF)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cerebral circulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">frequency-shift keying radar</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cross-correlation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">envelope detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">continuous-wave radar</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">frequency discrimination</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vital-signs monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">heartbeat accuracy improvement</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">heartbeat detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">absolute distance measurement</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radar signal processing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">3D+t modeling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">coronary artery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">non-rigid registration</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cage deformation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">4D CT</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">passenger detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CW radar</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radar feature vector</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radar machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wearable sensors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">physiology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">medical monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vital signs</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">compensatory reserve</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ultra-high resolution</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cone-beam computed tomography</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">low-contrast object</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">optimal filter</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">modulation transfer function</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">noise power spectrum</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">doppler cardiogram</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wavelet transform</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">denoising</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mother wavelet function</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">decomposition level</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">signal decomposition</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">signal-to-noise-ratio</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-1766-9</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-1765-0</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hyun, Eugin</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kim, Sun Kwon</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yang, Jong-Ryul</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hyun, Eugin</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kim, Sun Kwon</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:46:44 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-04-04 09:22:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5338141860004498&amp;Force_direct=true</subfield><subfield code="Z">5338141860004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338141860004498</subfield></datafield></record></collection>