Literature DB >> 33561970

Noncontact Respiratory Monitoring Using Depth Sensing Cameras: A Review of Current Literature.

Anthony P Addison1, Paul S Addison1, Philip Smit1, Dominique Jacquel1, Ulf R Borg2.   

Abstract

There is considerable interest in the noncontact monitoring of patients as it allows for reduced restriction of patients, the avoidance of single-use consumables and less patient-clinician contact and hence the reduction of the spread of disease. A technology that has come to the fore for noncontact respiratory monitoring is that based on depth sensing camera systems. This has great potential for the monitoring of a range of respiratory information including the provision of a respiratory waveform, the calculation of respiratory rate and tidal volume (and hence minute volume). Respiratory patterns and apneas can also be observed in the signal. Here we review the ability of this method to provide accurate and clinically useful respiratory information.

Entities:  

Keywords:  depth-sensing camera; noncontact monitoring; pandemic monitoring; respiratory monitoring; respiratory patterns; respiratory rate; tidal volume

Mesh:

Year:  2021        PMID: 33561970      PMCID: PMC7915793          DOI: 10.3390/s21041135

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  34 in total

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Authors:  Daniel J McDuff; Justin R Estepp; Alyssa M Piasecki; Ethan B Blackford
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015

2.  A non-contact vision-based system for respiratory rate estimation.

Authors:  Michael H Li; Azadeh Yadollahi; Babak Taati
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

Review 3.  Recent development of respiratory rate measurement technologies.

Authors:  Haipeng Liu; John Allen; Dingchang Zheng; Fei Chen
Journal:  Physiol Meas       Date:  2019-08-02       Impact factor: 2.833

Review 4.  Early warning system scores for clinical deterioration in hospitalized patients: a systematic review.

Authors:  M E Beth Smith; Joseph C Chiovaro; Maya O'Neil; Devan Kansagara; Ana R Quiñones; Michele Freeman; Makalapua L Motu'apuaka; Christopher G Slatore
Journal:  Ann Am Thorac Soc       Date:  2014-11

5.  ASPMN survey--nurses' practice patterns related to monitoring and preventing respiratory depression.

Authors:  Joyce S Willens; Carla R Jungquist; Carla R Junquist; Abigail Cohen; Rosemary Polomano
Journal:  Pain Manag Nurs       Date:  2013-03       Impact factor: 1.929

6.  Non-contact respiratory rate measurement validation for hospitalized patients.

Authors:  Amy D Droitcour; Todd B Seto; Byung-Kwon Park; Shuhei Yamada; Alex Vergara; Charles El Hourani; Tommy Shing; Andrea Yuen; Victor M Lubecke; Olga Boric-Lubecke
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

7.  Patterns of unexpected in-hospital deaths: a root cause analysis.

Authors:  Lawrence A Lynn; J Paul Curry
Journal:  Patient Saf Surg       Date:  2011-02-11

8.  Real-Time External Respiratory Motion Measuring Technique Using an RGB-D Camera and Principal Component Analysis.

Authors:  Udaya Wijenayake; Soon-Yong Park
Journal:  Sensors (Basel)       Date:  2017-08-09       Impact factor: 3.576

9.  Towards Breathing as a Sensing Modality in Depth-Based Activity Recognition.

Authors:  Jochen Kempfle; Kristof Van Laerhoven
Journal:  Sensors (Basel)       Date:  2020-07-13       Impact factor: 3.576

10.  Measuring Ventilatory Activity with Structured Light Plethysmography (SLP) Reduces Instrumental Observer Effect and Preserves Tidal Breathing Variability in Healthy and COPD.

Authors:  Marie-Cécile Niérat; Bruno-Pierre Dubé; Claudia Llontop; Agnès Bellocq; Lila Layachi Ben Mohamed; Isabelle Rivals; Christian Straus; Thomas Similowski; Pierantonio Laveneziana
Journal:  Front Physiol       Date:  2017-05-18       Impact factor: 4.566

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  4 in total

Review 1.  Continuous Monitoring of Vital Signs Using Cameras: A Systematic Review.

Authors:  Vinothini Selvaraju; Nicolai Spicher; Ju Wang; Nagarajan Ganapathy; Joana M Warnecke; Steffen Leonhardt; Ramakrishnan Swaminathan; Thomas M Deserno
Journal:  Sensors (Basel)       Date:  2022-05-28       Impact factor: 3.847

2.  Pulmonary Magnetic Resonance Imaging Replaces Bedside Imaging in Diagnosing Pneumonia in Infants.

Authors:  Haijun Zhang; Yingcui Zhang
Journal:  Biomed Res Int       Date:  2022-09-17       Impact factor: 3.246

3.  Automated Detection of Sleep Apnea-Hypopnea Events Based on 60 GHz Frequency-Modulated Continuous-Wave Radar Using Convolutional Recurrent Neural Networks: A Preliminary Report of a Prospective Cohort Study.

Authors:  Jae Won Choi; Dong Hyun Kim; Dae Lim Koo; Yangmi Park; Hyunwoo Nam; Ji Hyun Lee; Hyo Jin Kim; Seung-No Hong; Gwangsoo Jang; Sungmook Lim; Baekhyun Kim
Journal:  Sensors (Basel)       Date:  2022-09-21       Impact factor: 3.847

4.  A capaciflector provides continuous and accurate respiratory rate monitoring for patients at rest and during exercise.

Authors:  Nick Hayward; Mahdi Shaban; James Badger; Isobel Jones; Yang Wei; Daniel Spencer; Stefania Isichei; Martin Knight; James Otto; Gurinder Rayat; Denny Levett; Michael Grocott; Harry Akerman; Neil White
Journal:  J Clin Monit Comput       Date:  2022-01-18       Impact factor: 1.977

  4 in total

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