Assessing the blood volume and heart rate responses during haemodialysis in fluid overloaded patients using support vector regression

Physiological Measurement

Volumn 30, Issue 11, 2009, Pages 1251-1266

  Javed, Faizan ^a   Savkin, Andrey V ^a   Chan, Gregory S H ^a   Middleton, Paul M ^b,c   Malouf, Philip ^c   Steel, Elizabeth ^c   MacKie, James ^c   Lovell, Nigel H ^d  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b Greater Sydney Area Helicopter Emergency Medical Service Ambulance Service New South Wales Rescue Helicopter Base Bankstown Airport   (Australia)

^c PRINCE OF WALES HOSPITAL   (Australia)

^d UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Autonomic nervous system; Dialysis; Renal failure; Support vector regression

Indexed keywords

BLOOD; ELECTROCARDIOGRAPHY; HEART; HEMODYNAMICS; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES;

AUTONOMIC NERVOUS; AUTONOMIC NERVOUS SYSTEM; BLOOD VOLUMES; HAEMODIALYSIS; HEART RATE RESPONSE; MEAN SQUARED ERROR; RADIAL BASIS FUNCTION KERNELS; RENAL FAILURE; SUPPORT VECTOR REGRESSIONS; VOLUME CHANGE;

MEAN SQUARE ERROR;

AGED; ARTICLE; BLOOD VOLUME; CLINICAL ARTICLE; CLINICAL ASSESSMENT; COMPARATIVE STUDY; CONTROLLED STUDY; ELECTROCARDIOGRAM; ERROR; HEART RATE; HEMODIALYSIS; HEMODYNAMICS; HUMAN; HYPERVOLEMIA; HYPOVOLEMIA; KIDNEY FAILURE; LIQUID; MODEL; NONLINEAR REGRESSION ANALYSIS; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; TIME; TRAINING; VALIDATION STUDY;

EID: 70350469242     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/30/11/009     Document Type: Article

References (32)

1. Andrulli S, Colzani S, Mascia F, Lucchi L, Stipo L, Bigi M C, Crepaldi M, Redaelli B, Albertazzi A and Locatelli F 2002 The role of blood volume reduction in the genesis of intradialytic hypotension Am. J. Kidney Dis. 40 1244-54
2. Barbieri R, Triedman J K and Saul J P 2002 Heart rate control and mechanical cardiopulmonary coupling to assess central volume: a systems analysis Am. J. Physiol. Regul. Integr. Comp. Physiol. 283 R1210-20
3. Barnas M G, Boer W H and Koomans H A 1999 Hemodynamic patterns and spectral analysis of heart rate variability during dialysis hypotension J. Am. Soc. Nephrol. 10 2577-84
4. Barth C et al 2003 Characteristics of hypotension-prone haemodialysis patients: is there a critical relative blood volume? Nephrol. Dial. Transplant 18 1353-60
5. Cherkassky V and Ma Y 2004 Practical selection of SVM parameters and noise estimation for SVM regression Neural Netw. 17 113-26
6. Cheryan M 1986 Ultrafiltration Handbook (Lancester, PA: Technomic Publishing Company, Inc.)
7. Converse R L J, Jacobsen T N, Jost C M, Toto R D, Grayburn P A, Obregon T M, Fouad-Tarazi F and Victor R G 1992 Paradoxical withdrawal of reflex vasoconstriction as a cause of hemodialysis-induced hypotension J. Clin. Invest. 90 1657-65
8. Dasselaar J J, Huisman R M, de Jong P E and Franssen C F 2005 Measurement of relative blood volume changes during haemodialysis: merits and limitations Nephrol. Dial. Transplant. 20 2043-9
9. Dasselaar J J, Huisman R M, de Jong P E and Franssen C F 2007a Relative blood volume measurements during hemodialysis: comparisons between three noninvasive devices Hemodial. Int. 11 448-55
10. Dasselaar J J, Lub-de Hooge M N, Pruim J, Nijnuis H, Wiersum A, de Jong P E, Huisman R M and Franssen C F 2007b Relative blood volume changes underestimate total blood volume changes during hemodialysis Clin. J. Am. Soc. Nephrol. 2 669-74
11. Daugirdas J T 1991 Dialysis hypotension a hemodynamic analysis Kidney Int. 39 233-46
12. Evans R G, Ventura S, Dampney R A and Ludbrook J 2001 Neural mechanisms in the cardiovascular responses to acute central hypovolaemia Clin. Exp. Pharmacol. Physiol. 28 479-87
13. Franssen C F, Dasselaar J J, Sytsma P, Burgerhof J G, de Jong P E and Huisman R M 2005 Automatic feedback control of relative blood volume changes during hemodialysis improves blood pressure stability during and after dialysis Hemodial. Int. 9 383-92
14. Genovesi S, Bracchi O, Fabbrini P, Luisetto E, Vigano M R, Lucini D, Malacarne M, Stella A and Pagani M 2007 Differences in heart rate variability during haemodialysis and haemofiltration Nephrol. Dial. Transplant. 22 2256-62
15. Goethals I, Pelckmans K, Suykens J A K and De Moor B 2005 Identification of MIMO Hammerstein models using least squares support vector machines Automatica 41 1263-72
16. Gunn S 1997 Network performance assessment for neuro-fuzzy data modeling Lecture Notes in Computer Science vol 1280 (Berlin: Springer) pp 313-23
17. Guo Y, Bartlett P L, Shawe-Taylor J and Williamson R C 2002 Covering numbers for support vector machines IEEE Trans. Inf. Theory 48 239-50
18. Ishihara T, Igarashi I, Kitano T, Shinzato T and Maeda K 1993 Continuous hematocrit monitoring method in an extracorporeal circulation system and its application for automatic control of blood volume during artificial kidney treatment Artif. Organs. 17 708-16
19. Krepel H P, Nette R W, Akcahuseyin E, Weimar W and Zietse R 2000 Variability of relative blood volume during haemodialysis Nephrol. Dial. Transplant. 15 673-9
20. Mancini E, Santoro A, Spongano M, Paolini F, Rossi M and Zucchelli P 1993 Continuous on-line optical absorbance recording of blood volume changes during hemodialysis Artif. Organs. 17 691-4
21. Paolini F, Mancini E, Bosetto A and Santoro A 1995 Hemoscan: a dialysis machine-integrated blood volume monitor Int. J. Artif. Organs. 18 487-94
22. Pelosi G, Emdin M, Carpeggiani C, Morales M A, Piacenti M, Dattolo P, Cerrai T, Macerata A, L'Abbate A and Maggiore Q 1999 Impaired sympathetic response before intradialytic hypotension: a study based on spectral analysis of heart rate and pressure variability Clin. Sci. 96 23-31
23. Saitoh T, Ogawa Y, Aoki K, Shibata S, Otsubo A, Kato J and Iwasaki K 2008 Bell-shaped relationship between central blood volume and spontaneous baroreflex function Auton. Neurosci. 143 46-52
24. Santoro A, Mancini E, Paolini F, Cavicchioli G, Bosetto A and Zucchelli P 1998 Blood volume regulation during hemodialysis Am. J. Kidney Dis. 32 739-48
25. Su S W, Wang L, Celler B, Ambikairajah E and Savkin A 2005 Estimation of walking energy expenditure by using support vector regression Conf. Proc. IEEE Eng. Med. Biol. Soc. 4 3526-9
26. Su S W, Wang L, Celler B G and Savkin A V 2007a Oxygen uptake estimation in humans during exercise using a Hammerstein model Ann. Biomed. Eng. 35 1898-906
27. Su S W, Wang L, Celler B G, Savkin A V and Guo Y 2007b Identification and control for heart rate regulation during treadmill exercise IEEE Trans. Biomed. Eng. 54 1238-46
28. Suykens J A K, Van Gestel T, de Brabanter J, De Moor B and Vandewalle J 2002 Least Squares Support Vector Machines (Singapore: World Scientific)
29. Thissen U, Pepers M, Ustun B, Melssen W J and Buydens L M C 2004 Comparing support vector machines to PLS for spectral regression applications Chemometr. Intell. Lab. Syst. 73 169-79
30. Vapnik V 1995 The Nature of Statistical Learning Theory (New York: Springer)
31. Vapnik V 1998 Statisitcal Learning Theory (New York: Wiley)
32. Wang L, Su S W, Celler B G, Chan G S, Cheng T M and Savkin A V 2009 Assessing the human cardiovascular response to moderate exercise: feature extraction by support vector regression Physiol. Meas. 30 227-44