Method for signal processing of biological trends based on wavelet analysis


Abstract

In this paper the approach for biomedical trends processing on signals of arterial blood saturation was proposed. This technique additionally could be applied to settle the problem of false alarms. Analysis based on dyadic wavelet transform was used for solving of this issue. Analysis of sensitivity and specifcity for modeled signals was performed. The signals contained patterns which could be interpreted as false alarms on 80, 85, 90, 95% SpO2. Experiment have given sensitivity 99% for 1-3 levels of decomposition and specifcity 30% for Haar wavelet.

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GOST 7.1:2006 Harvard
 
Бодiловський О. К. Метод обробки трендiв бiологiчних сигналiв на основi вейвлет аналiзу / О.К. Бодiловський, А.О. Попов // Вісник НТУУ «КПІ». Серія Радіотехніка. Радіоапаратобудування. – 2017. – № 69. – с. 66-71. Bodilovskyi, O. K., Popov, A. O. (2017) Method for signal processing of biological trends based on wavelet analysis. Visn. NTUU KPI, Ser. Radioteh. radioaparatobuduv., no. 69, pp. 66-71. (in Ukrainian)
 

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References


Перелік посилань

Sendelbach S. Alarm fatigue / S. Sendelbach // Nursing Clinics of North America. - 2012. - Vol. 47, No. 3. - P. 375–382.

Solet J. M. Managing alarm fatigue in cardiac care / J. M. Solet, P. R. Barach // Progress in Pediatric Cardiology. - 2012. - Vol. 33, No. 1. - P. 85–90.

Tanner T. The problem of alarm fatigue / T. Tanner // Nursing for Women’s Health. - 2013. - Vol. 17, No. 2. - P. 153–157.

Chambrin M.-C. Multicentric study of monitoring alarms in the adult intensive care unit (icu): a descriptive analysis / M.-C. Chambrin, P. Ravaux, D. Calvelo-Aros[et al.] // Intensive care medicine. - 1999. - Vol. 25, No. 12. - P. 1360–1366.

Adeli H. Analysis of eeg records in an epileptic patient using wavelet transform / H. Adeli, Z. Zhou, N. Dadmehr // Journal of Neuroscience Methods. - 2003. - Vol. 123, No. 1. - P. 69–87.

Popov A. Estimation of heart rate variability fluctuations by wavelet transform / A. Popov, Y. Karplyuk, V. Fesechko // International Journal of Electronics and Telecommunications. - 2011. - Vol. 57, No. 3. - P. 395–400.

Ruttimann U. E. Use of the wavelet transform to investigate differences in brain pet images between patient groups / U. E. Ruttimann, M. A. Unser, D. E. Rio, R. R. Rawlings // Proc. SPIE 2035, Mathematical Methods in Medical Imaging II - 1993.

Мустецов Н. П. Биотехнические электронные системы / Н. П. Мустецов. - Харьков: ХТУРЭ - 2001. - P. 166

References

Sendelbach S. (2012) Nursing Clinics of North America., Vol. 47, No. 3., P. 375–382.

Solet J. M. and Barach P. R. (2012) Progress in Pediatric Cardiology, 33.1 p. 153–157

Tanner T. (2013) Nursing for Women’s Health, InTech Publisher, 356 p. DOI: 10.5772/1971

Chambrin M., Ravaux P. and Calvelo-Aros D. (1999) Intensive Care Medicine, Vol. 25, Issue 12, pp 1360–1366 DOI: 10.1007/s001340051082

Adeli H., Zhou Z. and Dadmehr N. (2003) Journal of Neuroscience Methods, vol. 123 Issue 1. P. 69–87.

Popov A., Karplyuk Y. and Fesechko V. (2011) Int. J. Electron. Telecommun. , Vol. 57, 395–400

Ruttimann U.E., Unser M.A., Rio D.E. and Rawlings R.R. (1993) Proc. SPIE 2035, Mathematical Methods in Medical Imaging II., pp. 192–203 DOI:10.1117/12.146601

Mustetsov, N.P. (2001) Biotechnical electronical systems, Kharkov, 168 p.






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