Respiration signals from photoplethysmography

Anesthesia and Analgesia

Volumn 117, Issue 4, 2013, Pages 859-865

  Nilsson, Lena M ^a,b  

^a LINKÖPING UNIVERSITY   (Sweden)

^b LINKÖPING UNIVERSITY HOSPITAL   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

AIRWAY OBSTRUCTION; APNEA; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL VENTILATION; BREATHING MECHANICS; BREATHING PATTERN; BREATHING RATE; CONFERENCE PAPER; HEART ARRHYTHMIA; HEART STROKE VOLUME; HUMAN; HYPOVOLEMIA; PHOTOELECTRIC PLETHYSMOGRAPHY; POSITIVE END EXPIRATORY PRESSURE; PRIORITY JOURNAL; PULSE OXIMETER; PULSE PRESSURE; SEMICONDUCTOR; SENSITIVITY AND SPECIFICITY; SINUS RHYTHM; SLEEP DISORDERED BREATHING; THORAX PRESSURE; TIDAL VOLUME; VASOCONSTRICTION; VENTILATED PATIENT; ANIMAL; BREATHING; OXIMETRY; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING;

ANIMALS; HUMANS; OXIMETRY; PHOTOPLETHYSMOGRAPHY; RESPIRATION; RESPIRATORY MECHANICS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84885018345     PISSN: 00032999     EISSN: 15267598     Source Type: Journal    
DOI: 10.1213/ANE.0b013e31828098b2     Document Type: Conference Paper

References (60)

1. Kamal AA, Harness JB, Irving G, Mearns AJ. Skin photoplethysmography: a review. Comput Methods Programs Biomed 1989;28:257-69
2. Spigulis J, Gailite L, Lihachev A, Erts R. Simultaneous recording of skin blood pulsations at different vascular depths by multiwavelength photoplethysmography. Appl Opt 2007;46:1754-9 (Pubitemid 46659542)
3. Hertzman AB, Spealman CR. Observations on the finger volume pulse recorded photo-electrically. Am J Physiol 1937;119:334-5
4. Squire JR. Instrument for measuring quantity of blood and its degree of oxygenation in the web of the hand. Clin Sci 1940;4:331-9
5. Aoyagi T, Kishi M, Yamaguchi K, Nakajima S, Hirai H, Takase H, Kuse A. New pulsed-type earpiece oximeter (author's transl) [in Japanese]. Kokyu To Junkan 1975;23:709-13
6. Barker SJ, Shah NK. The effects of motion on the performance of pulse oximeters in volunteers (revised publication). Anesthesiology 1997;86:101-8 (Pubitemid 27044007)
7. Patel JL, Goyal RK. Applications of artificial neural networks in medical science. Curr Clin Pharmacol 2007;2:217-26 (Pubitemid 47520960)
8. Traube L. Uber periodische Tatigkeitsanderungen des Vasomotorischen und Hemmungs-Nervenzentrums. Cbl Med Wiss 1865;56:881-5
9. Hering E. Uber Athembewegungen des Gefasssytems. Sitzungb d k Akad d W math naturw 1869;60:829-56
10. Macefield VG, Wallin BG. Modulation of muscle sympathetic activity during spontaneous and artificial ventilation and apnoea in humans. J Auton Nerv Syst 1995;53:137-47
11. Santamore WP, Amoore JN. Buffering of respiratory variations in venous return by right ventricle: a theoretical analysis. Am J Physiol 1994;267:H2163-70
12. Lossius K, Eriksen M, Walløe L. Fluctuations in blood flow to acral skin in humans: connection with heart rate and blood pressure variability. J Physiol (Lond) 1993;460:641-55 (Pubitemid 23058070)
13. Cogliati C, Magatelli R, Montano N, Narkiewicz K, Somers VK. Detection of low-and high-frequency rhythms in the variability of skin sympathetic nerve activity. Am J Physiol Heart Circ Physiol 2000;278:H1256-60 (Pubitemid 30235504)
14. Censi F, Calcagnini G, Lino S, Seydnejad SR, Kitney RI, Cerutti S. Transient phase locking patterns among respiration, heart rate and blood pressure during cardiorespiratory synchronisation in humans. Med Biol Eng Comput 2000;38:416-26 (Pubitemid 30616325)
15. Vegfors M, Ugnell H, Hök B, Oberg PA, Lennmarken C. Experimental evaluation of two new sensors for respiratory rate monitoring. Physiol Meas 1993;14:171-81 (Pubitemid 23208653)
16. Johansson A, Oberg PA. Estimation of respiratory volumes from the photoplethysmographic signal. Part I. Experimental results. Med Biol Eng Comput 1999;37:42-7
17. Johansson A, Oberg PA. Estimation of respiratory volumes from the photoplethysmographic signal. Part A model study. Med Biol Eng Comput 1999;37:48-53
18. Nilsson L, Johansson A, Kalman S. Respiratory variations in the reflection mode photoplethysmographic signal: relationships to peripheral venous pressure. Med Biol Eng Comput 2003;41:249-54 (Pubitemid 36701027)
19. Nilsson L, Johansson A, Kalman S. Macrocirculation is not the sole determinant of respiratory induced variations in the reflection mode photoplethysmographic signal. Physiol Meas 2003;24:925-37 (Pubitemid 37490211)
20. Leonard PA, Douglas JG, Grubb NR, Clifton D, Addison PS, Watson JN. A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram. J Clin Monit Comput 2006;20:33-6
21. Lindberg LG, Ugnell H, Oberg PA. Monitoring of respiratory and heart rates using a fibre-optic sensor. Med Biol Eng Comput 1992;30:533-7
22. Nakajima K, Tamura T, Miike H. Monitoring of heart and respiratory rates by photoplethysmography using a digital filtering technique. Med Eng Phys 1996;18:365-72 (Pubitemid 26201933)
23. Nilsson L, Johansson A, Kalman S. Respiration can be monitored by photoplethysmography with high sensitivity and specificity regardless of anaesthesia and ventilatory mode. Acta Anaesthesiol Scand 2005;49:1157-62 (Pubitemid 41199907)
24. Nilsson L, Goscinski T, Johansson A, Lindberg LG, Kalman S. Age and gender do not influence the ability to detect respiration by photoplethysmography. J Clin Monit Comput 2006;20:431-6
25. Lee J, Florian JP, Chon KH. Respiratory rate extraction from pulse oximeter and electrocardiographic recordings. Physiol Meas 2011;32:1763-73
26. Murray WB, Foster PA. The peripheral pulse wave: information overlooked. J Clin Monit 1996;12:365-77 (Pubitemid 26325089)
27. Li J, Jin J, Chen X, Sun W, Guo P. Comparison of respiratoryinduced variations in photoplethysmographic signals. Physiol Meas 2010;31:415-25
28. Sluiter ER, Rowaan CJ, Dorlas JC, Nijboer JA, Jorritsma FF, Blom JA, Beneken JE. Peak-to-peak detector for the arterial pulsations in the plethysmogram. II. Results of its use during anaesthesia. Med Biol Eng Comput 1981;19:267-70
29. Johansson A, Oberg PA, Sedin G. Monitoring of heart and respiratory rates in newborn infants using a new photoplethysmographic technique. J Clin Monit Comput 1999;15:461-7 (Pubitemid 30311647)
30. Olsson E, Ugnell H, Oberg PA, Sedin G. Photoplethysmography for simultaneous recording of heart and respiratory rates in newborn infants. Acta Paediatr 2000;89:853-61 (Pubitemid 30622587)
31. Wertheim D, Olden C, Savage E, Seddon P. Extracting respiratory data from pulse oximeter plethysmogram traces in newborn infants. Arch Dis Child Fetal Neonatal Ed 2009;94:F301-3
32. Johansson A, Ahlstrom C, Lanne T, Ask P. Pulse wave transit time for monitoring respiration rate. Med Biol Eng Comput 2006;44:471-8 (Pubitemid 44184475)
33. Johansson A. Neural network for photoplethysmographic respiratory rate monitoring. Med Biol Eng Comput 2003;41:242-8 (Pubitemid 36701026)
34. Hagbarth KE, Vallbo AB. Pulse and respiratory grouping of sympathetic impulses in human muscle-nerves. Acta Physiol Scand 1968;74:96-108
35. Badra LJ, Cooke WH, Hoag JB, Crossman AA, Kuusela TA, Tahvanainen KU, Eckberg DL. Respiratory modulation of human autonomic rhythms. Am J Physiol Heart Circ Physiol 2001;280:H2674-88
36. Pitson DJ, Sandell A, van den Hout R, Stradling JR. Use of pulse transit time as a measure of inspiratory effort in patients with obstructive sleep apnoea. Eur Respir J 1995;8:1669-74
37. Haba-Rubio J, Darbellay G, Herrmann FR, Frey JG, Fernandes A, Vesin JM, Thiran JP, Tschopp JM. Obstructive sleep apnea syndrome: effect of respiratory events and arousal on pulse wave amplitude measured by photoplethysmography in NREM sleep. Sleep Breath 2005;9:73-81 (Pubitemid 41348951)
38. Knorr-Chung BR, McGrath SP, Blike GT. Identifying airway obstructions using photoplethysmography (PPG). J Clin Monit Comput 2008;22:95-101
39. Dorlas JC, Nijboer JA. Photo-electric plethysmography as a monitoring device in anaesthesia: application and interpretation. Br J Anaesth 1985;57:524-30 (Pubitemid 15052545)
40. Shamir M, Eidelman LA, Floman Y, Kaplan L, Pizov R. Pulse oximetry plethysmographic waveform during changes in blood volume. Br J Anaesth 1999;82:178-81 (Pubitemid 29057612)
41. Partridge BL. Use of pulse oximetry as a noninvasive indicator of intravascular volume status. J Clin Monit 1987;3:263-8
42. Alian AA, Galante NJ, Stachenfeld NS, Silverman DG, Shelley KH. Impact of central hypovolemia on photoplethysmographic waveform parameters in healthy volunteers part 2: frequency domain analysis. J Clin Monit Comput 2011;25:387-96
43. Cannesson M, Attof Y, Rosamel P, Desebbe O, Joseph P, Metton O, Bastien O, Lehot JJ. Respiratory variations in pulse oximetry plethysmographic waveform amplitude to predict fluid responsiveness in the operating room. Anesthesiology 2007;106:1105-11 (Pubitemid 46828162)
44. Cannesson M, Besnard C, Durand PG, Bohé J, Jacques D. Relation between respiratory variations in pulse oximetry plethysmographic waveform amplitude and arterial pulse pressure in ventilated patients. Crit Care 2005;9:R562-8
45. Delerme S, Renault R, Le Manach Y, Lvovschi V, Bendahou M, Riou B, Ray P. Variations in pulse oximetry plethysmographic waveform amplitude induced by passive leg raising in spontaneously breathing volunteers. Am J Emerg Med 2007;25:637-42 (Pubitemid 46990698)
46. Alian AA, Shelley KH. Respiratory physiology and the impact of different modes of ventilation on the photoplethysmographic waveform. Sensors (Basel) 2012;12:2236-54
47. Cannesson M, Desebbe O, Rosamel P, Delannoy B, Robin J, Bastien O, Lehot JJ. Pleth variability index to monitor the respiratory variations in the pulse oximeter plethysmographic waveform amplitude and predict fluid responsiveness in the operating theatre. Br J Anaesth 2008;101:200-6 (Pubitemid 351989659)
48. Zimmermann M, Feibicke T, Keyl C, Prasser C, Moritz S, Graf BM, Wiesenack C. Accuracy of stroke volume variation compared with pleth variability index to predict fluid responsiveness in mechanically ventilated patients undergoing major surgery. Eur J Anaesthesiol 2010;27:555-61
49. Hood JA, Wilson RJ. Pleth variability index to predict fluid responsiveness in colorectal surgery. Anesth Analg 2011;113:1058-63
50. Renner J, Broch O, Gruenewald M, Scheewe J, Francksen H, Jung O, Steinfath M, Bein B. Non-invasive prediction of fluid responsiveness in infants using pleth variability index. Anaesthesia 2011;66:582-9
51. Loupec T, Nanadoumgar H, Frasca D, Petitpas F, Laksiri L, Baudouin D, Debaene B, Dahyot-Fizelier C, Mimoz O. Pleth variability index predicts fluid responsiveness in critically ill patients. Crit Care Med 2011;39:294-9
52. Forget P, Lois F, de Kock M. Goal-directed fluid management based on the pulse oximeter-derived pleth variability index reduces lactate levels and improves fluid management. Anesth Analg 2010;111:910-4
53. Høiseth LO, Hoff IE, Myre K, Landsverk SA, Kirkebøen KA. Dynamic variables of fluid responsiveness during pneumoperitoneum and laparoscopic surgery. Acta Anaesthesiol Scand 2012;56:777-86
54. Broch O, Bein B, Gruenewald M, Höcker J, Schöttler J, Meybohm P, Steinfath M, Renner J. Accuracy of the pleth variability index to predict fluid responsiveness depends on the perfusion index. Acta Anaesthesiol Scand 2011;55:686-93
55. Takeyama M, Matsunaga A, Kakihana Y, Masuda M, Kuniyoshi T, Kanmura Y. Impact of skin incision on the pleth variability index. J Clin Monit Comput 2011;25:215-21
56. Biais M, Cottenceau V, Petit L, Masson F, Cochard JF, Sztark F. Impact of norepinephrine on the relationship between pleth variability index and pulse pressure variations in ICU adult patients. Crit Care 2011;15:R168
57. Desebbe O, Boucau C, Farhat F, Bastien O, Lehot JJ, Cannesson M. The ability of pleth variability index to predict the hemodynamic effects of positive end-expiratory pressure in mechanically ventilated patients under general anesthesia. Anesth Analg 2010;110:792-8
58. Tsuchiya M, Yamada T, Asada A. Pleth variability index predicts hypotension during anesthesia induction. Acta Anaesthesiol Scand 2010;54:596-602
59. Keller G, Cassar E, Desebbe O, Lehot JJ, Cannesson M. Ability of pleth variability index to detect hemodynamic changes induced by passive leg raising in spontaneously breathing volunteers. Crit Care 2008;12:R37
60. Schoonjans A, Forget P, Labriola L, Deneys V, Jadoul M, Pingaut I, De Kock M. Pleth variability index combined with passive leg raising-induced pulse pressure variation to detect hypovolemia in spontaneously breathing patients. Acta Anaesthesiol Belg 2010;61:147-50