Top

Medical & Biological Engineering & Computing

Published in:

01-06-2006 | Original Article

Noise reduction in magnetocardiography by singular value decomposition and independent component analysis

Authors: D. DiPietroPaolo, H.-P. Müller, G. Nolte, S. N. Erné

Published in: Medical & Biological Engineering & Computing | Issue 6/2006

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

In the routine recording of magnetocardiograms (MCGs), it is necessary to underline the problem of noise cancellation. Source separation has often been suggested to solve this problem. In this paper, blind source separation (BSS), by means of singular value decomposition (SVD) and independent component analysis (ICA), was used for noise reduction in MCG data to improve the signal to noise ratio. Special techniques, based on statistical parameters, for identifying noise and disturbances, have been introduced to automatically eliminate noise-related and disturbance-related components before reconstructing cleaned data sets. The results show that ICA and SVD can detect and remove a variety of noise and artefact sources from MCG data, as well as from stress MCG.

previous article Inertial measurements of upper limb motion

next article Non-invasive continuous estimation of blood flow changes in human patellar bone

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Barros AC, Mansour A, Ohnishi N (1998) Removing artifacts from electrocardiographic signals using independent component analysis. Neural Comput 22:173–186MATH

Bell AJ, Sejnowski TJ (1995) An information maximisation approach to blind separation and blind deconvolution. Neural Comput 7:1129–1159CrossRef

Brockmeier K, Comani S, Del Gratta C, Di Donato L, Di Luzio S, Pasquarelli A, Pizzella V, Romani GL (1992) Application of dynamic MCG in a trained athlete with repolarization disturbances: a case report. In: Hoke M, Erné SN, Okada YC, Romani GL (eds) Biomagnetism: clinical aspects, pp 509–512

Brockmeier K, Schmitz L, Bobadilla Chavez J, Burghoff M, Koch H, Zimmermann R, Trahms L (1997) Magnetocardiography and 32-lead potential mapping: repolarisation in normal subjects during pharmacologically induced stress. J Cardiovasc Elektrophysiol 8:615–626CrossRef

Cardoso JF, Souloumiac A (1993) Jacobi angles for simultaneous diagonalization. SIAM J Matrix Anal Appl 17:161–164CrossRefMathSciNet

Le CT (2003) Introductory biostatistics. Wiley, New YorkMATH

Cichocki A, Amari SI (2002) Adaptive blind signal and image processing. Wiley, New York

Comani S, Mantini D, Lagatta A, Esposito F, Di Luzio S, Romani GL (2004) Time course reconstruction of fetal cardiac signals from fMCG: independent component analysis vs adaptive maternal beat subtraction. Physiol Meas 25:1305–1321CrossRef

Comon P (1994) Independent component analysis-a new concept? Signal Process 36:287–314CrossRefMATH

10.

DeMelis M, Müller H-P, Pasquarelli A, Erné SN (2002) Magnetocardiographic signal analysis. In: Proceedings of the 13th international conference on biomagnetism, BIOMAG 2002, Jena, Germany, pp 987–989

11.

Deprettere F (1988) SVD and signal processing: algorithms, analysis and applications. Elsevier, Amsterdam

12.

DiPietroPaolo D, Mueller H-P, Erné SN (2005) A novel approach for the averaging of magnetocardiographically recorded heart beats. Phys Med Biol 50:1–12CrossRef

13.

Erné SN, Torquati K, Della Penna S, Kammrath H, Pasquarelli A, Granata C, Rossi R (1998) The clinical magnetocardiographer in Ulm. IEEE Eng Med Biol 20:528–531

14.

He T, Clifford G, Tarassenko L (2004) Application of ICA in removing artefacts from the ECG. Neural Process Lett (accepted)

15.

Hyvärinen A (1999) Survey on independent component analysis. Neural Comput Surv 2:94–128

16.

Hyvärinen A, Oja E (2000) Independent component analysis: algorithms and applications. Neural Netw 13(4–5):411–430CrossRef

17.

Hyvärinen A, Karhunen J, Oja E (2001) Independent component analysis. Wiley, New York

18.

James CJ, Hesse CW (2005) Independent component analysis for biomedical signals. Physiol Meas 26:15–39CrossRef

19.

Jolliffe IT (1986) Principal component analysis. Springer, Berlin Heidelberg New York

20.

Jung T-P, Makeig S, Lee T-W, McKeown MJ, Brown G, Bell AJ, Sejnowski TJ (2000) Independent component analysis of biomedical signals. In: 2nd International workshop on independent component analysis and signal separation, Helsinki, pp 633–44

21.

Jung T-P, Humphries C, Lee T-W, McKeown MJ, IraguiV, Makeig S, Sejnowski TJ (2000) Removing electroencephalographic artefacts by blind source separation. Psychophysiology 37:163–178CrossRef

22.

Lander P, Berbari EJ, Lazzara R (1995) Optimal filtering and quality control of signal-averaged ECG. Circulation 91(5):1495–1505

23.

Müller H-P, Nolte G, DiPietroPaolo D, Erné SN (2005) Using independent component analysis for noise reduction of magnetocardiographic data in case of exercise with ergometer. J Med Eng Technol (in press)

24.

Müller H-P, DeCesaris I, DeMelis M, Marzetti L, PAsquarelli A, Erné SN, Ludolph AC, Kassubek J (2005) Open magnetic and electric graphic analysis. IEEE Eng Med Bio Mag 24(3):109–116CrossRef

25.

Noel S, Yim SB, Szu H (2001) Detecting electrocardiogram abnormalities with independent component analysis. In: Proceedings of the 15th annual international symposium on aerospace/defense sensing, simulation, and controls, Orlando, FL, USA

26.

Pasquarelli A, Schless BG, Müller H-P, Hombach V, Erné SN (2002) A non-magnetic ergometer for MCG stress testing. In: Proceedings of the 13th international conference on biomagnetism, BIOMAG 2002, Jena, Germany, pp 949–951

27.

Rieta JJ, Millet-Roig J, Zarzoso V, Castells F, Sánchez C, Garcia-Civera R, Morell S (2002) Atrial flutter and normal sinus rhythm discrimination by means of blind source separation and spectral parameters extraction. Comput Cardiol 29:25–28

28.

Steinhoff U, Mäntynen V, Kürsten R, Nenonen J (2003) Independent component analysis for the suppression of different noise in magnetocardiographic data. Biomed Tech 48(1):170–171CrossRef

29.

Thakor NV, Zhu VS (1991) Application of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection. IEEE Trans Biomed Eng 38:785–793CrossRef

30.

Vorobyov S, Cichocki A (2002) Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis. Biol Cybern 86:293–303CrossRefMATH

31.

Widrow B, Walach E (1996) Adaptive inverse control. Prentice Hall, Upper Sadde River

32.

Wisbeck JO, Barros AK, Ojeda R (1998) Application of ICA in the separation of breathing artifacts in ECG signals. In: International conference on neural inform, processing, (ICONIP’98), Kyushu, Japan

33.

Ziehe A, Müller K-R, (1998) TDSEP—an efficient algorithm for blind separation using time structure. In: Proceedings of the ICANN 1998, pp 675–680

34.

Ziehe A, Müller K-R, Nolte G, Mackert B-M, Curio G (2000) Artefact removal in magnetoneurography with time delayed second order correlations. IEEE Trans Biomed Eng 47:75–87CrossRef

Title: Noise reduction in magnetocardiography by singular value decomposition and independent component analysis
Authors: D. DiPietroPaolo
H.-P. Müller
G. Nolte
S. N. Erné
Publication date: 01-06-2006
Publisher: Springer-Verlag
Published in: Medical & Biological Engineering & Computing / Issue 6/2006
Print ISSN: 0140-0118
Electronic ISSN: 1741-0444
DOI: https://doi.org/10.1007/s11517-006-0055-z

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 6/2006

Non-invasive continuous estimation of blood flow changes in human patellar bone

Inertial measurements of upper limb motion

An Automatic Algorithm for Stationary Segmentation of Extracellular Microelectrode Recordings

SADE3: an effective system for automated detection of epileptiform events in long-term EEG based on context information

Prediction of blood glucose level of type 1 diabetics using response surface methodology and data mining

Pulse wave transit time for monitoring respiration rate

Premium Partner