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Inconspicuous on-bed respiratory rate monitoring

Authors:

Ming-Chun Huang,

Nabil Alshurafa,

Majid SarrafzadehAuthors Info & Claims

PETRA '13: Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 18, Pages 1 - 8

https://doi.org/10.1145/2504335.2504353

Published: 29 May 2013 Publication History

Abstract

The monitoring of human respiratory rate is essential in many clinical applications including the detection and monitoring of sleep disorders, the monitoring of newborns for Sudden Infant Death Syndrome (SIDS), and identifying patients at high risk up to 24 hours before an adverse event like stroke and cardiac arrest [1]. Traditional noninvasive respiratory rate measurements in a hospital setting rely on clinical staff to visually track a patient's chest movement for a period of time to derive the respiratory rate from the number of movements observed. Failure to perform continuous and quantified measurements of respiratory rate could result in an inability to rescue a patient exhibiting respiratory distress. Severe after effects hinder recovery and result in loss of time, cost, or even life. This paper proposes an e-textile pressure sensitive bed sheet to non-invasively and accurately measure respiratory rate by analyzing time-stamped pressure distribution sequences. The bed sheet provides a 24/7 quantified on-bed respiratory rate monitoring service. It is made of e-textile and is similar to a regular bed sheet in comfort. As a result, it can seamlessly fit in common clinical or home environments, reducing the possible interference with a patient's regular sleeping habits and resulting in a type of inconspicuous monitoring.

References

[1]

M. Cretikos and J. Chen and K. Hillman and R. Bellomo and S. Finfer and A. Flabouris, "The objective medical emergency team activation criteria: a case-control study," Resuscitation, vol. 73, no. 1, pp. 62--72, 2007.

[2]

TJ. Hodgetts and G. Kenward and IG. Vlachonikolis and S. Payne and N. Castle, "The identification of risk factors for cardiac arrest and formulation of activation criteria to alert a medical emergency team," Resuscitation, vol. 54, no. 2, pp. 125--131, 2002.

[3]

JF. Fieselmann and MS. Hendryx and CM. Helms and DS. Wakefield, "Respiratory rate predicts cardiopulmonary arrest for internal medicine patients," J Gen Intern Med, vol. 8, no. 7, pp. 354--360, 1993.

[4]

DR. Goldhill and AF. McNarry and G. Mandersloot and A. McGinley, "A physiologically-based early warning score for ward patients: the association between score and outcome," Anaesthesia, vol. 60, no. 6, pp. 547--553, 2005.

[5]

CP. Subbe and RG Davies and E Williams and P. Rutherford and L. Gemmell, "Effect of introducing the modified early warning score on clinical outcomes, cardio-pulmonary arrests and intensive care utilisation in acute medical admissions," Anaesthesia, vol. 58, no. 8, pp. 797--802, 2003.

[6]

S. Fleming, "Measurement and fusion of non-invasive vital signs for routine triage of acute paediatric illness," Master's thesis, University of Oxford, 2010.

[7]

L. Blue, "When Are You Most Likely to Have a Heart Attack." http://www.time.com/time/health/article/0,8599,1825044,00.html.

[8]

"Acoustic Respiration Rate(RRa) Masimo Corporation." http://www.masimo.com/rra/index.htm.

[9]

M.-C. Huang, E. Chen, W. Xu, M. Sarrafzadeh, B. Lange, and C.-Y. Chang, "Gaming for Upper Extremities Rehabilitation," in ACM/EMS Conference on Wireless Health, Oct.

Digital Library

[10]

M.-C. Huang, W. Xu, Y. Su, C.-Y. Chang, B. Lange, and M. Sarrafzadeh, "Smart Glove for Upper Extremities Rehabilitative Gaming Assessment," in International Conference on Pervasive Technologies Related to Assistive Environments, Jun. 2012.

Digital Library

[11]

A. Bates, "Respiratory Rate and Flow Waveform Estimation from Tri-axial Accelerometer Data," in Body Sensor Networks (BSN), 2010 International conference on, pp. 144--150, IEEE press, 2010.

Digital Library

[12]

"BAM Labs Touch-free Life Care (TLC) System. BAM Labs, Inc." http://www.bamlabs.com/product/.

[13]

Y. Yamana and S. Tsukamoto and K. Mukai and H. Maki and H. Ogawa and Y. Yonezawa, "A sensor for monitoring pulse rate, respiration rhythm, and body movement in bed," in Conf Proc IEEE Eng Med Biol Soc, pp. 5323--5326, IEEE Press, 2011.

[14]

X. Zhu and W. Chen and T. Nemoto and Y. Kanemitsu and K. Kitamura and K. Yamakoshi and D. Wei, "Real-time monitoring of respiration rhythm and pulse rate during sleep," IEEE Trans Biomed Eng, vol. 53, no. 1, pp. 2553--2563, 2006.

[15]

W. Xu, M.-C. Huang, N. Amini, J. Liu, L. He, and M. Sarrafzadeh, "Smart Insole: A Wearable System for Gait Analysis," in International Conference on Pervasive Technologies Related to Assistive Environments, Jun. 2012.

Digital Library

[16]

M.-C. Huang, W. Xu, J. Liu, L. He, Y. Su, and M. Sarrafzadeh, "Inconspicuous Personal Computer Protection with Touch-Mouse," in International Conference on Human Computer Interaction, 2013.

[17]

DI. Townsend and M. Holtzman and R. Goubran and M. Frize and F. Knoefel, "Simulated central apnea detection using the pressure variance," in Conf Proc IEEE Eng Med Biol Soc, pp. 3917--3920, IEEE press, 2009.

[18]

W. Xu and Z. Li and MC. Huang and N. Amini and M. Sarrafzadeh, "ecushion: an etextil device for sitting posture monitoring," in Body Sensor Networks (BSN), 2011 International conference on, pp. 194--199, IEEE press, 2011.

Digital Library

[19]

Wenyao Xu and Ming-Chun Huang and Navid Amini and Lei He and Majid Sarrafzadeh, "Smart cushion: Design and calibration of textile sensors for sitting posture analysis," IEEE Sensors Journal, 2013.

[20]

J. Liu and W. Xu and MC. Huang and N. Alshurafa and M. Sarrafzadeh, "A Dense Pressure Sensitive Bedsheet Design for Unobtrusive Sleep Posture Monitoring," in Pervasive Computing and Communications (PerCom), 2012 IEEE International Conference on, IEEE press, 2013.

[21]

J. Liu, M.-C. Huang, W. Xu, N. Alshursfa, and M. Sarrafzadeh, "On-bed Monitoring for Range of Motion Exercises with a Pressure Sensitive Bedsheet," in IEEE Conference on Body Sensor Network, 2013.

[22]

J. Meyer, "Textile Pressure Sensor: Design, Error Modeling and Evaluation," Master's thesis, ETH Zurich, 2008.

[23]

"peakdet: Peak detection using MATLAB." http://www.billauer.co.il/peakdet.html.

[24]

"Delmar's Comprehensive Medical Assisting: Administrative and Clinical Competencies." http://books.google.com/books?id=AUhJKmKJ_eEC&pg=PA573#v=onepage&q&f=false.

Cited By

Wang ZSui ZWang RZhang AZhang ZLin FChen JGao S(2023)A Piezoresistive Array-Based Force Sensing Technique for Sleeping Posture and Respiratory Rate Detection for SAS PatientsIEEE Sensors Journal10.1109/JSEN.2021.313482323:20(24060-24069)Online publication date: 15-Oct-2023
https://doi.org/10.1109/JSEN.2021.3134823
Khan MAbuAli NHayajneh MUllah FRehman MChong K(2023)Software defined radio frequency sensing framework for intelligent monitoring of sleep apnea syndromeMethods10.1016/j.ymeth.2023.06.010218(14-24)Online publication date: Oct-2023
https://doi.org/10.1016/j.ymeth.2023.06.010
KOHAMA MHAMADA YKABURAGI TKURIHARA Y(2022)Classification of Unconstrained Respiratory States Utilising Multidimensional Probability Distribution Based on Respiratory Frequency Information at Each Time StepInternational Journal of Affective Engineering10.5057/ijae.IJAE-D-21-0001221:2(93-100)Online publication date: 2022
https://doi.org/10.5057/ijae.IJAE-D-21-00012
Show More Cited By

Index Terms

Inconspicuous on-bed respiratory rate monitoring
1. Applied computing
  1. Life and medical sciences

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Published In

cover image ACM Other conferences

PETRA '13: Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments

May 2013

413 pages

ISBN:9781450319737

DOI:10.1145/2504335

Conference Chair:
Fillia Makedon
University of Texas at Arlington
,
Program Chairs:
Margrit Betke
Boston University
,
Magy Self El-Nasr
Northeastern University
,
Ilias Maglogiannis
University of Central Greece, Greece

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

NSF: National Science Foundation
FORTH: Foundation for Research and Technology - Hellas
HERACLEIA: HERACLEIA Human-Centered Computing Laboratory at UTA
U of Tex at Arlington: U of Tex at Arlington
TEI: Technological Educational Institution of Athens
UCG: University of Central Greece
NCRS: Demokritos National Center for Scientific Research
Fulbrigh, Greece: Fulbright Foundation, Greece
Ionian: Ionian University, GREECE

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 May 2013

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Division of Information and Intelligent Systems

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PETRA '13

Sponsor:

NSF
FORTH
HERACLEIA
U of Tex at Arlington
TEI
UCG
NCRS
Fulbrigh, Greece
Ionian

PETRA '13: The 6th International Conference on PErvasive Technologies Related to Assistive Environments

May 29 - 31, 2013

Rhodes, Greece

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Cited By

Wang ZSui ZWang RZhang AZhang ZLin FChen JGao S(2023)A Piezoresistive Array-Based Force Sensing Technique for Sleeping Posture and Respiratory Rate Detection for SAS PatientsIEEE Sensors Journal10.1109/JSEN.2021.313482323:20(24060-24069)Online publication date: 15-Oct-2023
https://doi.org/10.1109/JSEN.2021.3134823
Khan MAbuAli NHayajneh MUllah FRehman MChong K(2023)Software defined radio frequency sensing framework for intelligent monitoring of sleep apnea syndromeMethods10.1016/j.ymeth.2023.06.010218(14-24)Online publication date: Oct-2023
https://doi.org/10.1016/j.ymeth.2023.06.010
KOHAMA MHAMADA YKABURAGI TKURIHARA Y(2022)Classification of Unconstrained Respiratory States Utilising Multidimensional Probability Distribution Based on Respiratory Frequency Information at Each Time StepInternational Journal of Affective Engineering10.5057/ijae.IJAE-D-21-0001221:2(93-100)Online publication date: 2022
https://doi.org/10.5057/ijae.IJAE-D-21-00012
Stankoski SKiprijanovska IMavridou INduka CGjoreski HGjoreski M(2022)Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine LearningSensors10.3390/s2206207922:6(2079)Online publication date: 8-Mar-2022
https://doi.org/10.3390/s22062079
Purnomo AKomariah KLin DHendria WSin BAhmadi N(2022)Non-Contact Supervision of COVID-19 Breathing Behaviour With FMCW Radar and Stacked Ensemble Learning Model in Real-TimeIEEE Transactions on Biomedical Circuits and Systems10.1109/TBCAS.2022.319235916:4(664-678)Online publication date: Aug-2022
https://doi.org/10.1109/TBCAS.2022.3192359
Al-Halhouli AAlbagdady AAlawadi JAbeeleh M(2021)Monitoring Symptoms of Infectious Diseases: Perspectives for Printed Wearable SensorsMicromachines10.3390/mi1206062012:6(620)Online publication date: 27-May-2021
https://doi.org/10.3390/mi12060620
Cesarelli GDonisi LCoccia AAmitrano FD’Addio GRicciardi C(2021)The E-Textile for Biomedical Applications: A Systematic Review of LiteratureDiagnostics10.3390/diagnostics1112226311:12(2263)Online publication date: 3-Dec-2021
https://doi.org/10.3390/diagnostics11122263
Zhang LLiu LYing WHuang MYao CYing FRoussou MShahid SFails JLandoni M(2021)ModHera: A modular kit for parents to take care babiesProceedings of the 20th Annual ACM Interaction Design and Children Conference10.1145/3459990.3465209(547-551)Online publication date: 24-Jun-2021
https://dl.acm.org/doi/10.1145/3459990.3465209
Chen XJiang SLi ZLo B(2021)A Pervasive Respiratory Monitoring Sensor for COVID-19 PandemicIEEE Open Journal of Engineering in Medicine and Biology10.1109/OJEMB.2020.30420512(11-16)Online publication date: 2021
https://doi.org/10.1109/OJEMB.2020.3042051
Al-Halhouli AAl-Ghussain LEl Bouri SHabash FLiu HZheng D(2020)Clinical Evaluation of Stretchable and Wearable Inkjet-Printed Strain Gauge Sensor for Respiratory Rate Monitoring at Different Body PosturesApplied Sciences10.3390/app1002048010:2(480)Online publication date: 9-Jan-2020
https://doi.org/10.3390/app10020480
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