An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram

Physiological Measurement

Volumn 37, Issue 4, 2016, Pages 610-626

  Charlton, Peter H ^a,b   Bonnici, Timothy ^a,d   Tarassenko, Lionel ^b   Clifton, David A ^b   Beale, Richard ^a   Watkinson, Peter J ^c  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c JOHN RADCLIFFE HOSPITAL   (United Kingdom)

^d UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

biomedical signal processing; electrocardiography; photoplethysmography; respiratory rate

Indexed keywords

BIOINFORMATICS; BIOMEDICAL SIGNAL PROCESSING; PHOTOPLETHYSMOGRAPHY; SIGNAL ANALYSIS; TIME DOMAIN ANALYSIS;

ALGORITHM PERFORMANCE; BIOMEDICAL SIGNALS PROCESSING; CONDITION; DATA ALGORITHM; GOLD STANDARDS; PHOTOPLETHYSMOGRAM; RATE MEASUREMENTS; RESPIRATORY RATE; RESPIRATORY SIGNALS; TIME DOMAIN;

ELECTROCARDIOGRAPHY;

ADOLESCENT; ADULT; ALGORITHM; BREATHING RATE; ELECTROCARDIOGRAPHY; FEMALE; HUMAN; MALE; PHOTOELECTRIC PLETHYSMOGRAPHY; SIGNAL PROCESSING; YOUNG ADULT;

ADOLESCENT; ADULT; ALGORITHMS; ELECTROCARDIOGRAPHY; FEMALE; HUMANS; MALE; PHOTOPLETHYSMOGRAPHY; RESPIRATORY RATE; SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 84964225163     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/37/4/610     Document Type: Article

References (53)

1. Addison P S, Watson J N, Mestek M L and Mecca R S 2012 Developing an algorithm for pulse oximetry derived respiratory rate (RR(oxi)): a healthy volunteer study J. Clin. Monit. Comput. 26 45-51
2. Addison P S, Watson J N, Mestek M L, Ochs J P, Uribe A A and Bergese S D 2015 Pulse oximetry-derived respiratory rate in general care floor patients J. Clin. Monit. Comput. 29 113-20
3. Addison P and Watson J 2004 Secondary transform decoupling of shifted nonstationary signal modulation components: application to photoplethysmography Int. J. Wavelets Multiresolution Inf. Process. 2 43-57
4. Bailon R, Sornmo L and Laguna P 2006 ECG-derived respiratory frequency estimation Advanced Methods and Tools for ECG Data Analysis ed G D Clifford et al (London: Artech House) chapter 8 pp 215-44
5. Barnhart H X, Haber M J and Lin L I 2007 An overview on assessing agreement with continuous measurements J. Biopharmaceutical Stat. 17 529-69
6. Bonato P 2010 Wearable sensors and systems IEEE Eng. Med. Biol. Mag. 29 25-36
7. Walker H et al ed Braun S R 1990 Respiratory rate and pattern Clinical Methods: the History, Physical, and Laboratory Examinations 3rd edn (Boston: Butterworths) pp 226-30
8. Carstensen B, Simpson J and Gurrin L C 2008 Statistical models for assessing agreement in method comparison studies with replicate measurements Int. J. Biostat. 4 1-26
9. Cretikos M A, Bellomo R, Hillman K, Chen J, Finfer S and Flabouris A 2008 Respiratory rate: the neglected vital sign Med. J. Aust. 188 657-9
10. Fleming S 2010 Measurement and fusion of non-invasive vital signs for routine triage of acute paediatric illness PhD Thesis University of Oxford
11. Fleming S G and Tarassenko L 2006 A comparison of signal processing techniques for the extraction of breathing rate from the photoplethysmogram Int. J. Biol. Life Sci. 2 233-7
12. Fleming S, Tarassenko L, Thompson M and Mant D 2008 Non-invasive measurement of respiratory rate in children using the photoplethysmogram Conf. Proc. IEEE Engineering in Medicine and Biology Society pp 1886-9
13. Garbino A, Blue R S, Pattarini J M, Law J and Clark J B 2014 Physiological monitoring and analysis of a manned stratospheric balloon test program Aviat. Space Environ. Med. 85 177-82
14. Garde A, Karlen W, Ansermino J M and Dumont G A 2014 Estimating respiratory and heart rates from the correntropy spectral density of the photoplethysmogram PLoS One 9 e86427
15. Gibbons R J et al 1997 ACC/AHA guidelines for exercise testing: a report of the American College of Cardiology/American Heart Association task force on practice guidelines (Committee on Exercise Testing) J. Am. Coll. Cardiol. 30 260-311
16. Goldhill D R, White S A and Sumner A 1999 Physiological values and procedures in the 24 h before ICU admission from the ward Anaesthesia 54 529-34
17. Hamilton P S and Tompkins W J 1986 Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database IEEE Trans. Biomed. Eng. 33 1157-65
18. Hao Y and Foster R 2008 Wireless body sensor networks for health-monitoring applications Physiol. Meas. 29 R27-56
19. Hirsch J and Bishop B 1981 Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate Am. J. Physiol. 241 H620-29
20. Jeong J W, Jang Y W, Lee I, Shin S and Kim S 2009 Wearable respiratory rate monitoring using piezo-resistive fabric sensor World Congress on Medical Physics and Biomedical Engineering ed R Magjarevic et al (Berlin: Springer) pp 282-4
21. Johansson A 2003 Neural network for photoplethysmographic respiratory rate monitoring Med. Biol. Eng. Comput. 41 242-8
22. Johansson A and Strömberg T 2000 Influence of tidal volume and thoraco-abdominal separation on the respiratory induced variation of the photoplethysmogram J. Clin. Monit. Comput. 16 575-81
23. Karlen W, Ansermino J M and Dumont G 2012 Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications Conf. Proc. IEEE Engineering in Medicine and Biology Society pp 3131-4
24. Karlen W, Raman S, Ansermino J M and Dumont G A 2013 Multiparameter respiratory rate estimation from the photoplethysmogram IEEE Trans. Biomed. Eng. 60 1946-53
25. Lapi S, Lavorini F, Borgioli G, Calzolai M, Masotti L, Pistolesi M and Fontana G 2014 Respiratory rate assessments using a dual-accelerometer device Respiratory Physiol. Neurobiol. 191 60-6
26. Lázaro J, Gil E, Bailón R, Mincholé A and Laguna P 2013 Deriving respiration from photoplethysmographic pulse width Med. Biol. Eng. Comput. 51 233-42
27. Lázaro Plaza J 2015 Non-invasive techniques for respiratory information extraction based on pulse photoplethysmogram and electrocardiogram PhD Thesis University of Zaragoza
28. Lee J and Chon K H 2010 An autoregressive model-based particle filtering algorithms for extraction of respiratory rates as high as 90 breaths per minute from pulse oximeter IEEE Trans. Biomed. Eng. 57 2158-67
29. Lindberg L G, Ugnell H and Öberg P Å. 1992 Monitoring of respiratory and heart rates using a fibre-optic sensor Med. Biol. Eng. Comput. 30 533-7
30. Mateo J and Laguna P 2003 Analysis of heart rate variability in the presence of ectopic beats using the heart timing signal IEEE Trans. Biomed. Eng. 50 334-43
31. Meredith D J, Clifton D, Charlton P, Brooks J, Pugh C W and Tarassenko L 2012 Photoplethysmographic derivation of respiratory rate: a review of relevant physiology J. Med. Eng. Technol. 36 1-7
32. Moll J M and Wright V 1972 An objective clinical study of chest expansion Ann. Rheumatic Diseases 31 1-8
33. Moody G B, Mark R G, Zoccola A and Mantero S 1985 Derivation of respiratory signals from multi-lead ECGs Conf. Proc. CinC. pp 113-6
34. Nemati S, Malhotra A and Clifford G D 2010 Data fusion for improved respiration rate estimation EURASIP J. Adv. Signal Process. 2010 926305
35. O'Brien I, O'Hare P and Corrall R 1986 Heart rate variability in healthy subjects: effect of age and the derivation of normal ranges for tests of autonomic function Br. Heart J. 57 109-10
36. Orphanidou C, Bonnici T, Charlton P, Clifton D, Vallance D and Tarassenko L 2015 Signal-quality indices for the electrocardiogram and photoplethysmogram: derivation and applications to wireless monitoring IEEE J. Biomed. Health Inf. 19 832-8
37. Orphanidou C, Clifton D, Khan S, Smith M, Feldmar J and Tarassenko L 2009b Telemetry-based vital sign monitoring for ambulatory hospital patients Conf. Proc. IEEE Engineering in Medicine and Biology Society pp 4650-3
38. Orphanidou C, Brain O, Feldmar J, Khan S, Price J and Tarassenko L 2009a Spectral fusion for estimating respiratory rate from the ECG Conf. Proc. ITAB pp 1-4
39. Orphanidou C, Fleming S, Shah S and Tarassenko L 2013 Data fusion for estimating respiratory rate from a single-lead ECG Biomed. Signal Process. Control 8 98-105
40. Pan J and Tompkins W J 1985 A real-time QRS detection algorithm IEEE Trans. Biomed. Eng. 32 230-6
41. Pimentel M A F, Charlton P H and Clifton D A 2015 Probabilistic estimation of respiratory rate from wearable sensors Wearable Electronics Sensors vol 15 ed S C Mukhopadhyay (Cham: Springer) pp 241-62
42. Rajkumar K and Ramya K 2013 Respiration rate diagnosis using single lead ECG in real time Glob. J. Med. Res. 13 7-11
43. Ridley S 2005 The recognition and early management of critical illness Ann. R. Coll. Surg. Engl. 87 315-22
44. Royal College of Physicians 2012 National Early Warning Score (NEWS): Standardising the assessment of acute-illness severity in the NHS Technical Report
45. Ruangsuwana R, Velikic G and Bocko M 2010 Methods to extract respiration information from ECG signals Conf. Proc. ICASSP pp 570-3
46. Schäfer A and Kratky K W 2008 Estimation of breathing rate from respiratory sinus arrhythmia: comparison of various methods Ann. Biomed. Eng. 36 476-85
47. Schein R M, Hazday N, Pena M, Ruben B H and Sprung C L 1990 Clinical antecedents to in-hospital cardiopulmonary arrest Chest 98 1388-92
48. Shah S A 2012 Vital sign monitoring and data fusion for paediatric triage PhD Thesis University of Oxford
49. Shah S A, Fleming S, Thompson M and Tarassenko L 2015 Respiratory rate estimation during triage of children in hospitals J. Med. Eng. Technol. 39 514-24
50. Sobron A, Romero I and Lopetegi T 2010 Evaluation of methods for estimation of respiratory frequency from the ECG Conf. Proc. CinC vol 45 pp 513-6
51. Thayer J, Sollers J, Ruiz-Padial E and Vila J 2002 Estimating respiratory frequency from autoregressive spectral analysis of heart period IEEE Eng. Med. Biol. Mag. 21 41-45
52. Widjaja D, Varon C, Dorado A C, Suykens J A K and Van Huffel S 2012 Application of kernel principal component analysis for single-lead-ECG-derived respiration IEEE Trans. Biomed. Eng. 59 1169-76
53. Yilmaz T, Foster R and Hao Y 2010 Detecting vital signs with wearable wireless sensors Sensors 10 10837-62