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Published in: Intensive Care Medicine 9/2013

01-09-2013 | Original

Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology

Authors: Juan C. Ruiz-Rodríguez, Adolf Ruiz-Sanmartín, Vicent Ribas, Jesús Caballero, Alejandra García-Roche, Jordi Riera, Xavier Nuvials, Miriam de Nadal, Oriol de Sola-Morales, Joaquim Serra, Jordi Rello

Published in: Intensive Care Medicine | Issue 9/2013

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Abstract

Purpose

To develop and validate a continuous non-invasive blood pressure (BP) monitoring system using photoplethysmography (PPG) technology through pulse oximetry (PO).

Methods

This prospective study was conducted at a critical care department and post-anesthesia care unit of a university teaching hospital. Inclusion criteria were critically ill adult patients undergoing invasive BP measurement with an arterial catheter and PO monitoring. Exclusion criteria were arrhythmia, imminent death condition, and disturbances in the arterial or the PPG curve morphology. Arterial BP and finger PO waves were recorded simultaneously for 30 min. Systolic arterial pressure (SAP), mean arterial pressure (MAP), and diastolic arterial pressure (DAP) were extracted from computer-assisted arterial pulse wave analysis. Inherent traits of both waves were used to construct a regression model with a Deep Belief Network-Restricted Boltzmann Machine (DBN-RBM) from a training cohort of patients and in order to infer BP values from the PO wave. Bland–Altman analysis was performed.

Results

A total of 707 patients were enrolled, of whom 135 were excluded. Of the 572 studied, 525 were assigned to the training cohort (TC) and 47 to the validation cohort (VC). After data processing, 53,708 frames were obtained from the TC and 7,715 frames from the VC. The mean prediction biases were −2.98 ± 19.35, −3.38 ± 10.35, and −3.65 ± 8.69 mmHg for SAP, MAP, and DAP respectively.

Conclusions

BP can be inferred from PPG using DBN-RBM modeling techniques. The results obtained with this technology are promising, but its intrinsic variability and its wide limits of agreement do not allow clinical application at this time.
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Literature
1.
go back to reference Warren DK, Quadir WW, Hollenbeak CS et al (2006) Attributable cost of catheter-associated bloodstream infections among intensive care patients in a nonteaching hospital. Crit Care Med 34:2084–2089PubMedCrossRef Warren DK, Quadir WW, Hollenbeak CS et al (2006) Attributable cost of catheter-associated bloodstream infections among intensive care patients in a nonteaching hospital. Crit Care Med 34:2084–2089PubMedCrossRef
2.
go back to reference Scheer BV, Perel A, Pfeiffer UJ (2002) Clinical review: complications and risk factors of peripheral arterial catheters used for haemodynamic monitoring in anaesthesia and intensive care medicine. Crit Care 6:198–204CrossRef Scheer BV, Perel A, Pfeiffer UJ (2002) Clinical review: complications and risk factors of peripheral arterial catheters used for haemodynamic monitoring in anaesthesia and intensive care medicine. Crit Care 6:198–204CrossRef
3.
go back to reference Lorente L, Galvan R, Martín MM et al (2003) Trate of intravascular catheter infection line days. Med Intensiva 27:224–228CrossRef Lorente L, Galvan R, Martín MM et al (2003) Trate of intravascular catheter infection line days. Med Intensiva 27:224–228CrossRef
4.
go back to reference Stolt M, Sjönell G, Aström H et al (1993) Improved accuracy of indirect blood pressure measurement in patients with obese arms. Am J Hypertens 6:66–71PubMed Stolt M, Sjönell G, Aström H et al (1993) Improved accuracy of indirect blood pressure measurement in patients with obese arms. Am J Hypertens 6:66–71PubMed
5.
go back to reference Bur A, Hirschl MM, Herkner H et al (2000) Accuracy of oscillometric blood pressure measurement according to the relation between cuff size and upper-arm circumference in critically ill patients. Crit Care Med 28:371–376PubMedCrossRef Bur A, Hirschl MM, Herkner H et al (2000) Accuracy of oscillometric blood pressure measurement according to the relation between cuff size and upper-arm circumference in critically ill patients. Crit Care Med 28:371–376PubMedCrossRef
6.
go back to reference Jones DW, Apple LJ, Sheps SG et al (2003) Measuring blood pressure accurately. New and persistent changes. JAMA 289:1027–1030PubMedCrossRef Jones DW, Apple LJ, Sheps SG et al (2003) Measuring blood pressure accurately. New and persistent changes. JAMA 289:1027–1030PubMedCrossRef
7.
go back to reference Allen J (2007) Photoplethysmography and its applications in clinical physiological measurement. Physiol Meas 28:R1–R39PubMedCrossRef Allen J (2007) Photoplethysmography and its applications in clinical physiological measurement. Physiol Meas 28:R1–R39PubMedCrossRef
9.
go back to reference Laurent C, Jönsson B, Vergfors M et al (2005) Non-invasive measurement of systolic blood pressure on the arm utilising photoplethysmography: development of methodology. Med Biol Eng Comput 43:131–135PubMedCrossRef Laurent C, Jönsson B, Vergfors M et al (2005) Non-invasive measurement of systolic blood pressure on the arm utilising photoplethysmography: development of methodology. Med Biol Eng Comput 43:131–135PubMedCrossRef
10.
go back to reference Nitzan M, Faib I, Friedman H (2006) Respiration-induced changes in tissues blood volume distal to occluded artery, measured by photoplethysmography. J Biomed Opt 11:040506PubMedCrossRef Nitzan M, Faib I, Friedman H (2006) Respiration-induced changes in tissues blood volume distal to occluded artery, measured by photoplethysmography. J Biomed Opt 11:040506PubMedCrossRef
11.
go back to reference Nitzan M, Patron A, Glik Z et al (2009) Automatic non-invasive measurement of systolic blood pressure using photoplethysmography. Biomed Eng Online 8:28PubMedCrossRef Nitzan M, Patron A, Glik Z et al (2009) Automatic non-invasive measurement of systolic blood pressure using photoplethysmography. Biomed Eng Online 8:28PubMedCrossRef
12.
go back to reference Association for the Advancement of Medical Instrumentation. American National Standard (2002) Manual, Electronic or Automated Sphygmomanometers. ANSI/AAMI SP10. ANSI, Arlington, VA Association for the Advancement of Medical Instrumentation. American National Standard (2002) Manual, Electronic or Automated Sphygmomanometers. ANSI/AAMI SP10. ANSI, Arlington, VA
13.
go back to reference Bland JM, Altman DG (2007) Agreement between methods of measurement with multiple observations per individual. J Biopharm Stat 17:571–582PubMedCrossRef Bland JM, Altman DG (2007) Agreement between methods of measurement with multiple observations per individual. J Biopharm Stat 17:571–582PubMedCrossRef
14.
go back to reference Bland JM, Altman DG (1999) Measuring agreement in method comparison studies. Stat Methods Med Res 8:135–160PubMedCrossRef Bland JM, Altman DG (1999) Measuring agreement in method comparison studies. Stat Methods Med Res 8:135–160PubMedCrossRef
15.
go back to reference Van Egmond J, Hasenbos M, Crul JF (1985) Invasive versus non-invasive measurement of arterial pressure. Comparison of two automatic methods and simultaneously measured direct intra-arterial pressure. Br J Anaesth 57:434–444PubMedCrossRef Van Egmond J, Hasenbos M, Crul JF (1985) Invasive versus non-invasive measurement of arterial pressure. Comparison of two automatic methods and simultaneously measured direct intra-arterial pressure. Br J Anaesth 57:434–444PubMedCrossRef
16.
go back to reference Peñaz J (1973) Photoelectric measurement of blood pressure, volume and flow in the finger. In: Albert A, Vogt W, Hellig W (eds) Digest of the 10th International Conference on Medical and Biological Engineering. International Federation for Medical and Biological Engineering, Dresden, Germany, p 104 Peñaz J (1973) Photoelectric measurement of blood pressure, volume and flow in the finger. In: Albert A, Vogt W, Hellig W (eds) Digest of the 10th International Conference on Medical and Biological Engineering. International Federation for Medical and Biological Engineering, Dresden, Germany, p 104
17.
go back to reference Janelle GM, Gravenstein N (2006) An accuracy evaluation of the T-Line® Tensymeter (continuous non-invasive blood pressure management device) versus conventional invasive radial artery monitoring in surgical patients. Anesth Analg 102:484–490PubMedCrossRef Janelle GM, Gravenstein N (2006) An accuracy evaluation of the T-Line® Tensymeter (continuous non-invasive blood pressure management device) versus conventional invasive radial artery monitoring in surgical patients. Anesth Analg 102:484–490PubMedCrossRef
18.
go back to reference Belani KG, Buckley JJ, Poliac MO (1999) Accuracy of radial artery blood pressure determination with the Vasotrac. Can J Anaesth 46:488–496PubMedCrossRef Belani KG, Buckley JJ, Poliac MO (1999) Accuracy of radial artery blood pressure determination with the Vasotrac. Can J Anaesth 46:488–496PubMedCrossRef
19.
go back to reference McCann ME, Hill D, Thomas KC et al (2005) A comparison of radial artery blood pressure determination between the Vasotrac device and invasive arterial blood pressure monitoring in adolescents undergoing scoliosis surgery. Anesth Analg 101:978–985PubMedCrossRef McCann ME, Hill D, Thomas KC et al (2005) A comparison of radial artery blood pressure determination between the Vasotrac device and invasive arterial blood pressure monitoring in adolescents undergoing scoliosis surgery. Anesth Analg 101:978–985PubMedCrossRef
20.
go back to reference Belani K, Ozaki M, Hynson J et al (1999) A new non-invasive method to measure blood pressure. Anesthesiology 91:686–692PubMedCrossRef Belani K, Ozaki M, Hynson J et al (1999) A new non-invasive method to measure blood pressure. Anesthesiology 91:686–692PubMedCrossRef
21.
go back to reference Szmuk P, Pivalizza E, Warters RD et al (2008) An evaluation of the T-Line© Tensymeter continuous non-invasive blood pressure device during induced hypotension. Anaesthesia 63:307–312PubMedCrossRef Szmuk P, Pivalizza E, Warters RD et al (2008) An evaluation of the T-Line© Tensymeter continuous non-invasive blood pressure device during induced hypotension. Anaesthesia 63:307–312PubMedCrossRef
22.
go back to reference Findlay JY, Gali B, Keegan MT et al (2006) Vasotrac® arterial blood pressure and direct arterial blood pressure monitoring during liver transplantation. Anesth Analg 102:690–693PubMedCrossRef Findlay JY, Gali B, Keegan MT et al (2006) Vasotrac® arterial blood pressure and direct arterial blood pressure monitoring during liver transplantation. Anesth Analg 102:690–693PubMedCrossRef
23.
go back to reference Saugel B, Fassio A, Hapfelmeier A et al (2012) The T-Line TL-200 system for continuous non-invasive blood pressure measurement in medical intensive care unit patients. Intensive Care Med 38:1471–1477PubMedCrossRef Saugel B, Fassio A, Hapfelmeier A et al (2012) The T-Line TL-200 system for continuous non-invasive blood pressure measurement in medical intensive care unit patients. Intensive Care Med 38:1471–1477PubMedCrossRef
24.
go back to reference Suzuki S, Oguri K (2008) Cuffless and non-invasive systolic blood pressure estimation for aged class by using a photoplethysmograph. Conf Proc IEEE Eng Med Biol Soc 2008:1327–1330PubMed Suzuki S, Oguri K (2008) Cuffless and non-invasive systolic blood pressure estimation for aged class by using a photoplethysmograph. Conf Proc IEEE Eng Med Biol Soc 2008:1327–1330PubMed
25.
go back to reference Suzuki S, Oguri K (2009) Cuffless blood pressure estimation by error-correcting output coding method based on an aggregation of adaboost with a photoplethysmograph sensor. Conf Proc IEEE Eng Med Biol Soc 2009:6765–6768PubMed Suzuki S, Oguri K (2009) Cuffless blood pressure estimation by error-correcting output coding method based on an aggregation of adaboost with a photoplethysmograph sensor. Conf Proc IEEE Eng Med Biol Soc 2009:6765–6768PubMed
26.
go back to reference Monte-Moreno E (2011) Non-invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques. Artif Intell Med 53:127–138PubMedCrossRef Monte-Moreno E (2011) Non-invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques. Artif Intell Med 53:127–138PubMedCrossRef
27.
go back to reference Hinton GE, Onsidero S, Teh YW (2006) A fast learning algorithm for deep belief nets. Neural Comput 18:1527–1554PubMedCrossRef Hinton GE, Onsidero S, Teh YW (2006) A fast learning algorithm for deep belief nets. Neural Comput 18:1527–1554PubMedCrossRef
28.
go back to reference Hinton GE, Salkhutdinov RR (2006) Reducing the dimensionality of data with neural networks. Science 313:504–507PubMedCrossRef Hinton GE, Salkhutdinov RR (2006) Reducing the dimensionality of data with neural networks. Science 313:504–507PubMedCrossRef
29.
go back to reference Dueck R, Goedje O, Clopton P (2012) Nonivasive continuous beat-to-beat radial pressure artery via TL-200 applanation tonometry. J Clin Monit Comput 26:75–839PubMedCrossRef Dueck R, Goedje O, Clopton P (2012) Nonivasive continuous beat-to-beat radial pressure artery via TL-200 applanation tonometry. J Clin Monit Comput 26:75–839PubMedCrossRef
30.
go back to reference Lehman LH, Saeed M, Talmor D et al (2013) Methods of blood pressure measurement in the ICU. Crit Care Med 41:34–40PubMedCrossRef Lehman LH, Saeed M, Talmor D et al (2013) Methods of blood pressure measurement in the ICU. Crit Care Med 41:34–40PubMedCrossRef
31.
go back to reference Panerai RB, Sammons EL, Smith SM et al (2007) Transient drift between finapres and continuous intra-aortic measurement of blood pressure. Blood Pres Monit 12:369–376CrossRef Panerai RB, Sammons EL, Smith SM et al (2007) Transient drift between finapres and continuous intra-aortic measurement of blood pressure. Blood Pres Monit 12:369–376CrossRef
Metadata
Title
Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology
Authors
Juan C. Ruiz-Rodríguez
Adolf Ruiz-Sanmartín
Vicent Ribas
Jesús Caballero
Alejandra García-Roche
Jordi Riera
Xavier Nuvials
Miriam de Nadal
Oriol de Sola-Morales
Joaquim Serra
Jordi Rello
Publication date
01-09-2013
Publisher
Springer Berlin Heidelberg
Published in
Intensive Care Medicine / Issue 9/2013
Print ISSN: 0342-4642
Electronic ISSN: 1432-1238
DOI
https://doi.org/10.1007/s00134-013-2964-2

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