Conferencia

Risk, M.R.; Slezak, D.F.; Turjanski, P.; Panelli, A.; Taborda, R.A.M.; Marshall, G. "Time series calculation of heart rate using multi rate FIR filters" (2007) Computers in Cardiology 2007, CAR 2007. 34:541-544
La versión final de este artículo es de uso interno de la institución.
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

The spectral analysis of heart rate variability, based on the Fourier transform, needs even sampled data. The objectives of this study were to develop an interpolation method based on multi rate FIR filters, and then to implement this method for parallel processing machines. A total ofthree data sets were used: a) simulated heart rate with an IPFM model, b) autonomic blockage database (both pharmacological and postural), and c) long term Holter studies (recordings of 24 hours). Spectral analysis, for the three data sets, was processed for both interpolation using FIR filters and cubic splines, the results for Bland and Altman analysis for low frequency band, showed a difference[ of-47±131 ms2; then for the high frequency band, the difference was 3±48 ms2. The presented method of time series calculation, using FIR filters, probed to be equivalent for both simulated and real data, and is suitable for parallel programming implementation.

Registro:

Documento: Conferencia
Título:Time series calculation of heart rate using multi rate FIR filters
Autor:Risk, M.R.; Slezak, D.F.; Turjanski, P.; Panelli, A.; Taborda, R.A.M.; Marshall, G.
Ciudad:Durham, NC
Filiación:CONICET and Computer Science Department, FCEyN University of Buenos Aires, Argentina
LIADE, FCEFyN National University of Córdoba, Argentina
Department of Computer Science FCEyN, Universidad de Buenos Aires, Ciudad Universitaria, (C1428EGA) Buenos Aires, Argentina
Palabras clave:Bland and altman analysis; Cubic splines; Data sets; Heart rate variabilities; Heart rates; High frequency bands; Interpolation methods; Long terms; Low frequency bands; Multi rates; Parallel processing; Sampled datum; Spectral analysis; Cardiology; Fourier transforms; Frequency bands; Interpolation; Parallel programming; Spectrum analysis; Spectrum analyzers; Time series; FIR filters
Año:2007
Volumen:34
Página de inicio:541
Página de fin:544
DOI: http://dx.doi.org/10.1109/CIC.2007.4745542
Título revista:Computers in Cardiology 2007, CAR 2007
Título revista abreviado:Comput Cardiol
ISSN:02766574
CODEN:COCAD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02766574_v34_n_p541_Risk

Referencias:

  • Pacheco, P.S., (1996) Parallel programming with MPI, , San Francisco, CA, USA: Morgan Kaufmann Publishers Inc, ISBN 1-55860-339-5
  • Foster, I., Kesselman, C., Nick, J.S.T., The physiology of the grid: An open grid services architecture for distributed systems integration (2002) Global Grid Forum
  • Guyton, A., Hall, J., (2005) Texbook of Medical Physiology, , W.B. Saunders Company
  • Risk, M., Bril, V., Broadbridge, C., Cohen, A., Heart rate variability measurement in diabetic neuropathy: Review of methods (2001) Diabetes Technology and Therapeutics, 3 (1), pp. 63-76
  • Yang, F., Liao, W., Modeling and decomposition of hrv signals with wavelet transform (1997) IEEE Engineering in Medicine and Biology, pp. 17-22. , July/August
  • Schafer, R., Rabiner, L., A digital signal processing approach to interpolation (1973) Proc IEEE, 61, pp. 156-166
  • Ifeachor, E., Jervis, B., (1993) Digital signal processing: A practical approach, , Addison-Wesley
  • Rorabaugh, C., (1997) Digital filter designer's hadnbook with C++ algorithms, , McGraw-Hill
  • Risk, M., Sobh, J., Barbieri, R., Armentano, R., Ramirez, A., Saul, J., Variabilidad de las senales cardio-respiratorias. parte 1: Variabilidad a corto plazo (1996) Revista Argentina de Bioingeniera, 2 (1)
  • Saul, J., Beat to beat variations of heart rate reflect modulation of cardiac autonomic flow (1990) NIPS, p. 5
  • Venables W, Smith D, the R development core team. An introduction to R, notes on R: a programming environment for data analysis and graphics, version 2.1.1. R foundation, 2005; Bland, J., Altman, D., Statistical methods for assessing agree- mentbetweentwo methods ofclinicalmeasurement (1986) Lancet, 1, pp. 307-310
  • Rompelman, O., Coenen, A., Kitney, R., Measurement of heart-rate variability: Part 1-comparartive study of heart- rate variability analysis methods (1977) Medical and Biological Engineering and Computing, pp. 233-239. , May
  • Berger, R., Akselrod, S., Gordon, D., Cohen, R., An efficient algorithm for spectral analysis of heart rate variability (1986) IEEE Transactions on Biomedical Engineering, BME-33 (9), pp. 900-904

Citas:

---------- APA ----------
Risk, M.R., Slezak, D.F., Turjanski, P., Panelli, A., Taborda, R.A.M. & Marshall, G. (2007) . Time series calculation of heart rate using multi rate FIR filters. Computers in Cardiology 2007, CAR 2007, 34, 541-544.
http://dx.doi.org/10.1109/CIC.2007.4745542
---------- CHICAGO ----------
Risk, M.R., Slezak, D.F., Turjanski, P., Panelli, A., Taborda, R.A.M., Marshall, G. "Time series calculation of heart rate using multi rate FIR filters" . Computers in Cardiology 2007, CAR 2007 34 (2007) : 541-544.
http://dx.doi.org/10.1109/CIC.2007.4745542
---------- MLA ----------
Risk, M.R., Slezak, D.F., Turjanski, P., Panelli, A., Taborda, R.A.M., Marshall, G. "Time series calculation of heart rate using multi rate FIR filters" . Computers in Cardiology 2007, CAR 2007, vol. 34, 2007, pp. 541-544.
http://dx.doi.org/10.1109/CIC.2007.4745542
---------- VANCOUVER ----------
Risk, M.R., Slezak, D.F., Turjanski, P., Panelli, A., Taborda, R.A.M., Marshall, G. Time series calculation of heart rate using multi rate FIR filters. Comput Cardiol. 2007;34:541-544.
http://dx.doi.org/10.1109/CIC.2007.4745542