Influences of Sensor Placement Site and Subject Posture on Measurement of Respiratory Frequency Using Triaxial Accelerometers

Respiration frequency (RF) could be derived from the respiratory signals recorded by accelerometers which detect chest wall movements. The optimum direction of acceleration for accurate RF measurement is still uncertain. We aim to investigate the effect of measure site, posture, and direction of acc...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in physiology Vol. 11; p. 823
Main Authors Hughes, Stephen, Liu, Haipeng, Zheng, Dingchang
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 09.07.2020
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Respiration frequency (RF) could be derived from the respiratory signals recorded by accelerometers which detect chest wall movements. The optimum direction of acceleration for accurate RF measurement is still uncertain. We aim to investigate the effect of measure site, posture, and direction of acceleration on the accuracy of accelerometer-based RF estimation. In supine and seated postures respectively, respiratory signals were measured from 34 healthy subjects in 70 s by triaxial accelerometers located at four sites on the body wall (over the clavicle, laterally on the chest wall, over the pectoral part of the anterior chest wall, on the abdomen in the midline at the umbilicus), with the reference respiratory signal simultaneously recorded by a strain gauge chest belt. RFs were extracted from the accelerometer and reference respiratory signals using wavelet transformation. To investigate the effect of measure site, posture, and direction of acceleration on the accuracy of accelerometer-based RF estimation, repeated measures multivariate analysis of variance, linear regression, Bland-Altman analysis, and Scheirer-Ray-Hare test were performed between reference and accelerometer-based RFs. There was no significant difference in accelerometer-based RF estimation between seated and supine postures, among four accelerometer sites, or between seated or supine postures ( > 0.05 for all). The error of accelerometer-based RF estimation was less than 0.03 Hz (two breaths per minute) at any site or posture, but was significantly smaller in supine posture than in seated posture ( < 0.05), with narrower limits of agreement in Bland-Altman analysis and higher accuracy in linear regression ( > 0.61 vs. < 0.51). Respiration frequency can be accurately measured from the acceleration of any direction using triaxial accelerometers placed at the clavicular, pectoral and lateral sites on the chest as well the mid abdominal site. More accurate RF estimation could be achieved in supine posture compared with seated posture.
AbstractList Respiration frequency (RF) could be derived from the respiratory signals recorded by accelerometers which detect chest wall movements. The optimum direction of acceleration for accurate RF measurement is still uncertain. We aim to investigate the effect of measure site, posture, and direction of acceleration on the accuracy of accelerometer-based RF estimation. In supine and seated postures respectively, respiratory signals were measured from 34 healthy subjects in 70 s by triaxial accelerometers located at four sites on the body wall (over the clavicle, laterally on the chest wall, over the pectoral part of the anterior chest wall, on the abdomen in the midline at the umbilicus), with the reference respiratory signal simultaneously recorded by a strain gauge chest belt. RFs were extracted from the accelerometer and reference respiratory signals using wavelet transformation. To investigate the effect of measure site, posture, and direction of acceleration on the accuracy of accelerometer-based RF estimation, repeated measures multivariate analysis of variance, linear regression, Bland-Altman analysis, and Scheirer-Ray-Hare test were performed between reference and accelerometer-based RFs. There was no significant difference in accelerometer-based RF estimation between seated and supine postures, among four accelerometer sites, or between seated or supine postures ( > 0.05 for all). The error of accelerometer-based RF estimation was less than 0.03 Hz (two breaths per minute) at any site or posture, but was significantly smaller in supine posture than in seated posture ( < 0.05), with narrower limits of agreement in Bland-Altman analysis and higher accuracy in linear regression ( > 0.61 vs. < 0.51). Respiration frequency can be accurately measured from the acceleration of any direction using triaxial accelerometers placed at the clavicular, pectoral and lateral sites on the chest as well the mid abdominal site. More accurate RF estimation could be achieved in supine posture compared with seated posture.
Respiration frequency (RF) could be derived from the respiratory signals recorded by accelerometers which detect chest wall movements. The optimum direction of acceleration for accurate RF measurement is still uncertain. We aim to investigate the effect of measure site, posture, and direction of acceleration on the accuracy of accelerometer-based RF estimation.INTRODUCTIONRespiration frequency (RF) could be derived from the respiratory signals recorded by accelerometers which detect chest wall movements. The optimum direction of acceleration for accurate RF measurement is still uncertain. We aim to investigate the effect of measure site, posture, and direction of acceleration on the accuracy of accelerometer-based RF estimation.In supine and seated postures respectively, respiratory signals were measured from 34 healthy subjects in 70 s by triaxial accelerometers located at four sites on the body wall (over the clavicle, laterally on the chest wall, over the pectoral part of the anterior chest wall, on the abdomen in the midline at the umbilicus), with the reference respiratory signal simultaneously recorded by a strain gauge chest belt. RFs were extracted from the accelerometer and reference respiratory signals using wavelet transformation. To investigate the effect of measure site, posture, and direction of acceleration on the accuracy of accelerometer-based RF estimation, repeated measures multivariate analysis of variance, linear regression, Bland-Altman analysis, and Scheirer-Ray-Hare test were performed between reference and accelerometer-based RFs.METHODSIn supine and seated postures respectively, respiratory signals were measured from 34 healthy subjects in 70 s by triaxial accelerometers located at four sites on the body wall (over the clavicle, laterally on the chest wall, over the pectoral part of the anterior chest wall, on the abdomen in the midline at the umbilicus), with the reference respiratory signal simultaneously recorded by a strain gauge chest belt. RFs were extracted from the accelerometer and reference respiratory signals using wavelet transformation. To investigate the effect of measure site, posture, and direction of acceleration on the accuracy of accelerometer-based RF estimation, repeated measures multivariate analysis of variance, linear regression, Bland-Altman analysis, and Scheirer-Ray-Hare test were performed between reference and accelerometer-based RFs.There was no significant difference in accelerometer-based RF estimation between seated and supine postures, among four accelerometer sites, or between seated or supine postures (p > 0.05 for all). The error of accelerometer-based RF estimation was less than 0.03 Hz (two breaths per minute) at any site or posture, but was significantly smaller in supine posture than in seated posture (p < 0.05), with narrower limits of agreement in Bland-Altman analysis and higher accuracy in linear regression (R 2 > 0.61 vs. R 2 < 0.51).RESULTSThere was no significant difference in accelerometer-based RF estimation between seated and supine postures, among four accelerometer sites, or between seated or supine postures (p > 0.05 for all). The error of accelerometer-based RF estimation was less than 0.03 Hz (two breaths per minute) at any site or posture, but was significantly smaller in supine posture than in seated posture (p < 0.05), with narrower limits of agreement in Bland-Altman analysis and higher accuracy in linear regression (R 2 > 0.61 vs. R 2 < 0.51).Respiration frequency can be accurately measured from the acceleration of any direction using triaxial accelerometers placed at the clavicular, pectoral and lateral sites on the chest as well the mid abdominal site. More accurate RF estimation could be achieved in supine posture compared with seated posture.CONCLUSIONRespiration frequency can be accurately measured from the acceleration of any direction using triaxial accelerometers placed at the clavicular, pectoral and lateral sites on the chest as well the mid abdominal site. More accurate RF estimation could be achieved in supine posture compared with seated posture.
IntroductionRespiration frequency (RF) could be derived from the respiratory signals recorded by accelerometers which detect chest wall movements. The optimum direction of acceleration for accurate RF measurement is still uncertain. We aim to investigate the effect of measure site, posture, and direction of acceleration on the accuracy of accelerometer-based RF estimation.MethodsIn supine and seated postures respectively, respiratory signals were measured from 34 healthy subjects in 70 s by triaxial accelerometers located at four sites on the body wall (over the clavicle, laterally on the chest wall, over the pectoral part of the anterior chest wall, on the abdomen in the midline at the umbilicus), with the reference respiratory signal simultaneously recorded by a strain gauge chest belt. RFs were extracted from the accelerometer and reference respiratory signals using wavelet transformation. To investigate the effect of measure site, posture, and direction of acceleration on the accuracy of accelerometer-based RF estimation, repeated measures multivariate analysis of variance, linear regression, Bland-Altman analysis, and Scheirer-Ray-Hare test were performed between reference and accelerometer-based RFs.ResultsThere was no significant difference in accelerometer-based RF estimation between seated and supine postures, among four accelerometer sites, or between seated or supine postures (p > 0.05 for all). The error of accelerometer-based RF estimation was less than 0.03 Hz (two breaths per minute) at any site or posture, but was significantly smaller in supine posture than in seated posture (p < 0.05), with narrower limits of agreement in Bland-Altman analysis and higher accuracy in linear regression (R2 > 0.61 vs. R2 < 0.51).ConclusionRespiration frequency can be accurately measured from the acceleration of any direction using triaxial accelerometers placed at the clavicular, pectoral and lateral sites on the chest as well the mid abdominal site. More accurate RF estimation could be achieved in supine posture compared with seated posture.
Author Hughes, Stephen
Liu, Haipeng
Zheng, Dingchang
AuthorAffiliation 2 Faculty Research Centre for Intelligent Healthcare, Coventry University , Coventry , United Kingdom
1 Medical Devices Research Group, Anglia Ruskin University , Chelmsford , United Kingdom
AuthorAffiliation_xml – name: 1 Medical Devices Research Group, Anglia Ruskin University , Chelmsford , United Kingdom
– name: 2 Faculty Research Centre for Intelligent Healthcare, Coventry University , Coventry , United Kingdom
Author_xml – sequence: 1
  givenname: Stephen
  surname: Hughes
  fullname: Hughes, Stephen
– sequence: 2
  givenname: Haipeng
  surname: Liu
  fullname: Liu, Haipeng
– sequence: 3
  givenname: Dingchang
  surname: Zheng
  fullname: Zheng, Dingchang
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32733286$$D View this record in MEDLINE/PubMed
BookMark eNp1ks1vVCEUxYmpsbV278qwdDMjH2-AtzFpmlYnqbFx2sQd4fEuUyZvYASecRb-7zIztWlNZAOBc34XLuc1OgoxAEJvKZlyrtoPbnO_zVNGGJkSohh_gU6oEM2ENOz70ZP1MTrLeUXqaKqW0FfomDPJOVPiBP2eBzeMECxkHB1eQMgx4ZvBWFhDKHjhC2ATerwYuxXYgm9iLmMCHAP-AibX5V5Xvd8gb3wyJaYtvkrwY0fd4rvswxLfJm9-eTPgc2thgBTXUCDlN-ilM0OGs4f5FN1dXd5efJ5cf_00vzi_nthGsDJp256LnjhGxIz2sm-VsoIy13SunXFJFJHQctFKJ-mMKdIrpXpnqZTGcaCMn6L5gdtHs9Kb5NcmbXU0Xu83Ylpqk4q3A2hDJWOk4w2AbZh0iik7a4SSHe05EbyyPh5Ym7FbQ2_r65MZnkGfnwR_r5fxp5Zc8Fa2FfD-AZBibVIueu1z7cpgAsQxa9awVqpGElml757Weizy9_-qgBwENsWcE7hHCSV6lxK9T4nepUTvU1It4h-L9cUUH3e39cP_jX8AjPXD8g
CitedBy_id crossref_primary_10_3390_s22249953
crossref_primary_10_3390_s24134139
crossref_primary_10_3390_s24062018
crossref_primary_10_1016_j_heliyon_2024_e33295
crossref_primary_10_3389_fphys_2021_738939
crossref_primary_10_3390_info14050297
crossref_primary_10_3390_app12084093
crossref_primary_10_1007_s11356_022_20055_x
crossref_primary_10_3390_biomechanics4010005
crossref_primary_10_3390_s23094246
crossref_primary_10_1097_MD_0000000000038818
Cites_doi 10.1093/bja/aer153
10.1088/1361-6579/ab299e
10.1136/bmjqs-2017-006671
10.1067/mem.2002.122017
10.3389/fphys.2019.00732
10.1109/EMBC.2015.7319366
10.1016/j.dib.2019.104912
10.5694/j.1326-5377.2008.tb01825.x
10.1113/ep088180
10.4108/icst.mobihealth.2014.257219
10.1145/3345615.3361130
10.1109/jbhi.2018.2867727
10.3390/app10020480
10.1088/0967-3334/34/8/N51
10.1016/j.resp.2010.01.001
10.1109/IEMBS.2011.6091301
10.1016/s0300-9572(02)00100-4
10.1111/aas.12784
10.1249/mss.0000000000001222
10.1016/j.bspc.2019.101779
10.1109/MeMeA.2017.7985870
10.1109/BSN.2010.50
ContentType Journal Article
Copyright Copyright © 2020 Hughes, Liu and Zheng.
Copyright © 2020 Hughes, Liu and Zheng. 2020 Hughes, Liu and Zheng
Copyright_xml – notice: Copyright © 2020 Hughes, Liu and Zheng.
– notice: Copyright © 2020 Hughes, Liu and Zheng. 2020 Hughes, Liu and Zheng
DBID AAYXX
CITATION
NPM
7X8
5PM
DOA
DOI 10.3389/fphys.2020.00823
DatabaseName CrossRef
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
PubMed
MEDLINE - Academic
DatabaseTitleList PubMed
MEDLINE - Academic

Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  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
DeliveryMethod fulltext_linktorsrc
Discipline Anatomy & Physiology
EISSN 1664-042X
ExternalDocumentID oai_doaj_org_article_a17220b34eec427f828c54687b1d3063
PMC7363979
32733286
10_3389_fphys_2020_00823
Genre Journal Article
GroupedDBID 53G
5VS
9T4
AAFWJ
AAKDD
AAYXX
ACGFO
ACGFS
ACXDI
ADBBV
ADRAZ
AENEX
AFPKN
ALMA_UNASSIGNED_HOLDINGS
AOIJS
BCNDV
CITATION
DIK
EMOBN
F5P
GROUPED_DOAJ
GX1
HYE
KQ8
M48
M~E
O5R
O5S
OK1
PGMZT
RNS
RPM
IAO
IEA
IHR
IHW
IPNFZ
ISR
NPM
RIG
7X8
5PM
ID FETCH-LOGICAL-c462t-99d36d0f20651d7d988c612f4bf95370807e93697f715280d888dfc177af3e123
IEDL.DBID M48
ISSN 1664-042X
IngestDate Wed Aug 27 01:27:34 EDT 2025
Thu Aug 21 14:08:05 EDT 2025
Fri Jul 11 01:54:23 EDT 2025
Thu Jan 02 22:54:46 EST 2025
Tue Jul 01 02:44:23 EDT 2025
Thu Apr 24 23:02:44 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords respiration frequency (RF)
chest wall
respiration rate
sensor placement
posture
accelerometer
Language English
License Copyright © 2020 Hughes, Liu and Zheng.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c462t-99d36d0f20651d7d988c612f4bf95370807e93697f715280d888dfc177af3e123
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Edited by: Massimo–Pagani, University of Milan, Italy
Reviewed by: Guanghao Sun, The University of Electro-Communications, Japan; Nizam Uddin Ahamed, University of Pittsburgh, United States
ORCID: Haipeng Liu, orcid.org/0000-0002-4212-2503
This article was submitted to Computational Physiology and Medicine, a section of the journal Frontiers in Physiology
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.3389/fphys.2020.00823
PMID 32733286
PQID 2429784707
PQPubID 23479
ParticipantIDs doaj_primary_oai_doaj_org_article_a17220b34eec427f828c54687b1d3063
pubmedcentral_primary_oai_pubmedcentral_nih_gov_7363979
proquest_miscellaneous_2429784707
pubmed_primary_32733286
crossref_primary_10_3389_fphys_2020_00823
crossref_citationtrail_10_3389_fphys_2020_00823
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2020-07-09
PublicationDateYYYYMMDD 2020-07-09
PublicationDate_xml – month: 07
  year: 2020
  text: 2020-07-09
  day: 09
PublicationDecade 2020
PublicationPlace Switzerland
PublicationPlace_xml – name: Switzerland
PublicationTitle Frontiers in physiology
PublicationTitleAlternate Front Physiol
PublicationYear 2020
Publisher Frontiers Media S.A
Publisher_xml – name: Frontiers Media S.A
References (B20) 2018
Lin (B16) 2020; 57
Costa (B5) 2014
Granholm (B9) 2016; 60
Cretikos (B6) 2008; 188
Preejith (B19) 2017
Schneller (B22) 2017; 49
Badawy (B3) 2017; 26
Liu (B17) 2019; 40
Vehkaoja (B25) 2015
Röddiger (B21) 2019
Lee (B15) 2010; 170
Aguilera-Castells (B1) 2020; 28
Bates (B4) 2010
Hodgetts (B12) 2002; 54
Siqueira (B23) 2019; 23
Sun (B24) 2015
Kwon (B14) 2011
Edmonds (B8) 2002; 39
Hartmann (B10) 2019; 10
Hernandez (B11) 2014
Pitts (B18) 2013; 34
Al-Halhouli (B2) 2020; 10
Drummond (B7) 2011; 107
Jacunski (B13) 2020; 105
References_xml – volume: 107
  start-page: 462
  year: 2011
  ident: B7
  article-title: Validation of a new non-invasive automatic monitor of respiratory rate for postoperative subjects.
  publication-title: Br. J. Anaesth.
  doi: 10.1093/bja/aer153
– volume: 40
  year: 2019
  ident: B17
  article-title: Recent development of respiratory rate measurement technologies.
  publication-title: Physiol. Meas.
  doi: 10.1088/1361-6579/ab299e
– volume: 26
  start-page: 832
  year: 2017
  ident: B3
  article-title: Is everyone really breathing 20 times a minute? Assessing epidemiology and variation in recorded respiratory rate in hospitalised adults.
  publication-title: BMJ Q. Saf.
  doi: 10.1136/bmjqs-2017-006671
– year: 2014
  ident: B5
  article-title: A simple movement classification system for smartphones with accelerometer
  publication-title: New Perspectives in Information Systems and Technologies
– volume: 39
  start-page: 233
  year: 2002
  ident: B8
  article-title: The reliability of vital sign measurements.
  publication-title: Ann. Emerg. Med.
  doi: 10.1067/mem.2002.122017
– volume: 10
  year: 2019
  ident: B10
  article-title: Toward accurate extraction of respiratory frequency from the photoplethysmogram: effect of measurement site.
  publication-title: Front. Phys.
  doi: 10.3389/fphys.2019.00732
– year: 2015
  ident: B25
  article-title: Effects of sensor type and sensor location on signal quality in bed mounted ballistocardiographic heart rate and respiration monitoring
  publication-title: .
  doi: 10.1109/EMBC.2015.7319366
– volume: 28
  year: 2020
  ident: B1
  article-title: Correlational data concerning body centre of mass acceleration, muscle activity, and forces exerted during a suspended lunge under different stability conditions in high-standard track and field athletes.
  publication-title: Data Brief.
  doi: 10.1016/j.dib.2019.104912
– year: 2018
  ident: B20
  publication-title: R: A Language and Environment for Statistical Computing.
– volume: 188
  start-page: 657
  year: 2008
  ident: B6
  article-title: Respiratory rate: the neglected vital sign.
  publication-title: Med. J. Aust.
  doi: 10.5694/j.1326-5377.2008.tb01825.x
– volume: 105
  start-page: 842
  year: 2020
  ident: B13
  article-title: The effects of hypoxia and fatigue on skeletal muscle electromechanical delay.
  publication-title: Exp. Physiol.
  doi: 10.1113/ep088180
– year: 2014
  ident: B11
  article-title: BioGlass: physiological parameter estimation using a head-mounted wearable device
  publication-title: Proceedings of the 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH).
  doi: 10.4108/icst.mobihealth.2014.257219
– start-page: 48
  year: 2019
  ident: B21
  article-title: Towards Respiration Rate Monitoring Using an In-Ear Headphone Inertial Measurement Unit
  publication-title: Proceedings of the 1st International Workshop on Earable Computing
  doi: 10.1145/3345615.3361130
– volume: 23
  start-page: 1507
  year: 2019
  ident: B23
  article-title: Respiratory waveform estimation from multiple accelerometers: an optimal sensor number and placement analysis.
  publication-title: IEEE J. Biomed. Health Inform.
  doi: 10.1109/jbhi.2018.2867727
– volume: 10
  year: 2020
  ident: B2
  article-title: Clinical evaluation of stretchable and wearable inkjet-printed strain gauge sensor for respiratory rate monitoring at different body postures.
  publication-title: Appl. Sci.
  doi: 10.3390/app10020480
– volume: 34
  start-page: N51
  year: 2013
  ident: B18
  article-title: A respiratory monitoring device based on clavicular motion.
  publication-title: Physiol. Meas.
  doi: 10.1088/0967-3334/34/8/N51
– volume: 170
  start-page: 236
  year: 2010
  ident: B15
  article-title: Changes in sitting posture induce multiplanar changes in chest wall shape and motion with breathing.
  publication-title: Respir. Physiol. Neurobiol.
  doi: 10.1016/j.resp.2010.01.001
– year: 2015
  ident: B24
  article-title: Rapid and stable measurement of respiratory rate from Doppler radar signals using time domain autocorrelation model
  publication-title: Proceedings of the 2015 37th Annual Int Conf of the IEEE Engineering in Medicine and Biology Society
– year: 2011
  ident: B14
  article-title: Validation of heart rate extraction through an iPhone accelerometer
  publication-title: Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  doi: 10.1109/IEMBS.2011.6091301
– volume: 54
  start-page: 125
  year: 2002
  ident: B12
  article-title: The identification of risk factors for cardiac arrest and formulation of activation criteria to alert a medical emergency team.
  publication-title: Resuscitation
  doi: 10.1016/s0300-9572(02)00100-4
– volume: 60
  start-page: 1444
  year: 2016
  ident: B9
  article-title: Respiratory rates measured by a standardised clinical approach, ward staff, and a wireless device.
  publication-title: Acta Anaesthesiol. Scand.
  doi: 10.1111/aas.12784
– volume: 49
  start-page: 1261
  year: 2017
  ident: B22
  article-title: Measuring children’s physical activity: compliance using skin-taped accelerometers.
  publication-title: Med. Sci. Sports Exerc.
  doi: 10.1249/mss.0000000000001222
– volume: 57
  year: 2020
  ident: B16
  article-title: Estimation of heart rate and respiratory rate from the seismocardiogram under resting state.
  publication-title: Biomed. Signal Process. Control
  doi: 10.1016/j.bspc.2019.101779
– year: 2017
  ident: B19
  article-title: Accelerometer based system for continuous respiratory rate monitoring
  publication-title: Proceedings of the 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA) IEEE
  doi: 10.1109/MeMeA.2017.7985870
– year: 2010
  ident: B4
  article-title: Respiratory rate and flow waveform estimation from tri-axial accelerometer data
  publication-title: Proceedings of the 2010 International Conference on Body Sensor Networks.
  doi: 10.1109/BSN.2010.50
SSID ssj0000402001
Score 2.3261514
Snippet Respiration frequency (RF) could be derived from the respiratory signals recorded by accelerometers which detect chest wall movements. The optimum direction of...
IntroductionRespiration frequency (RF) could be derived from the respiratory signals recorded by accelerometers which detect chest wall movements. The optimum...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 823
SubjectTerms accelerometer
chest wall
Physiology
posture
respiration frequency (RF)
respiration rate
sensor placement
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8NAEF6kJy-i1kd9sYIIHkLT7Ca7OVaxVKEitoXeQrIPLGgitQV78L87s-lTRC9ekyzZ7Ez2-2Z2-IaQC84UbIuh9Ay3zOMZuHFqQ9-TTHJjrTCZE0nqPETtPr8fhIOVVl9YE1bKA5cLV08BYQM_Y9wYxQNhIUJQIY-kyBoa6K7T-QTMWwmm3B6MYZHfKM8lIQqL6xYzBRAPBljKJQO2hkNOrv8njvm9VHIFe1rbZGtGGmmznOwO2TD5Lqk2cwiYX6f0kroyTpcfr5LPu3nbkXdaWNqFMLUY0UfMlmMikHaBY9I01xS2DMzBUGzXOxkZWuS0s0wY4tin5TE8bY3KmuspdUUGtAeO-zHESSkFyIWiB6jTuUf6rdveTdub9VjwFI-CsRfHmkXatwFQkYYWOpZSAemxPLNxyATwSWGw55-wApBe-hoiZm1VQ4jUMgOwt08qeZGbQ0KVVJkJFRBgoAyZjVJjtYpS7isrpWGiRurzFU_UTIAc-2C8JBCIoI0SZ6MEbZQ4G9XI1WLEWym-8cuz12jExXMom-0ugDMlM2dK_nKmGjmfu0ACvxmenaS5KSbwIsBtAUjuw2cclC6xeBUDCsgCGdWIWHOWtbms38mHz07KWzB3sHr0H5M_Jpu4HK6WOD4hlfFoYk6BMY2zM_dzfAEAeRX3
  priority: 102
  providerName: Directory of Open Access Journals
Title Influences of Sensor Placement Site and Subject Posture on Measurement of Respiratory Frequency Using Triaxial Accelerometers
URI https://www.ncbi.nlm.nih.gov/pubmed/32733286
https://www.proquest.com/docview/2429784707
https://pubmed.ncbi.nlm.nih.gov/PMC7363979
https://doaj.org/article/a17220b34eec427f828c54687b1d3063
Volume 11
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8QwEA4-QLyI4mt9EcGLh2q3SZv0IKLiosKKqAt7K20euiCt1l3Qg__dmbS768rqtY-kyUzyfTOZzhBywJmCbTGUnuGWeTwDNU5t6HuSSW6sFSZzSZLat9FVh990w-749-h6At-nmnZYT6pTvhx9vH2ewoI_QYsT8PbYohMATL0Ao7RkwGbJPOCSwHoG7Zrsu30ZTSVXD7kZRRh9EXSrc8upjSySBQbQztxf1j8gy2X2n0ZHf0dV_oCp1jJZqvklPasUYoXMmHyVfF0PS5G808LSBzBdi5LeoQcdnYP0AXgnTXNNYRtBvwzFEr6D0tAip-2xExHfvR8fzdNWWcVhf1IXeEAfQZk_eti7UoBmmAgBc3eukU7r8vHiyqvrLniKR0Hfi2PNIu3bAOhJUwsdS6mACFme2ThkAjimMFgHUFgB6C99DVa0tqopRGqZAShcJ3N5kZtNQpVUmQkVkGKgEZmNUmO1ilLuKyulYaJBjodTm6g6KTnWxnhJwDhBuSROLgnKJXFyaZDD0RuvVUKOf549R2mNnsNU2u5CUT4l9cpMUtCUwM8YN0bxQFgwQVXIIymypgZ7ChrZH8o6gaWH5ylpbooBdARYLgDdfRjGRiX7UVdD3WkQMaEVE98yeSfvPbv03oK5w9atP9vcJos4Rhc0HO-QuX45MLtAjfrZnnMp7Dm9_wYoqw1l
linkProvider Scholars Portal
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=Influences+of+Sensor+Placement+Site+and+Subject+Posture+on+Measurement+of+Respiratory+Frequency+Using+Triaxial+Accelerometers&rft.jtitle=Frontiers+in+physiology&rft.au=Hughes%2C+Stephen&rft.au=Liu%2C+Haipeng&rft.au=Zheng%2C+Dingchang&rft.date=2020-07-09&rft.issn=1664-042X&rft.eissn=1664-042X&rft.volume=11&rft.spage=823&rft_id=info:doi/10.3389%2Ffphys.2020.00823&rft_id=info%3Apmid%2F32733286&rft.externalDocID=32733286
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1664-042X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1664-042X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1664-042X&client=summon