References
- World Health Organization, Cardiovascular Diseases (CVDs), Media centre, 2016. Accessed from: https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-
- Said S, Hernandez GT. The link between chronic kidney disease and cardiovascular disease. J Nephropathol. 2014;3(3):99–104.
- Scherhag A, Kaden JJ, Kentschke E, et al. Comparison of impedance cardiography and thermodilution-derived measurements of stroke volume and cardiac output at rest and during exercise testing. Cardiovasc Drugs Ther. 2005;19(2):141–147.
- DeMarzo AP, Calvin JE, Kelly RF, et al. Using impedance cardiography to assess left ventricular systolic function via postural change in patients with heart failure. Prog Cardiovasc Nurs. 2005;20(4):163–167.
- Fuller HD. The validity of cardiac output measurement by thoracic impedance: a meta-analysis. Clin Invest Med. 1992;15(2):103–112.
- Jensen L, Yakimets J, Teo KK. Issues in cardiovascular care. A review of impedance cardiography. Heart Lung. 1995;24(3):183–193.
- Woltjer HH, Bogaard HJ, de Vries PMJM. The technique of impedance cardiography. Eur Heart J. 1997;18(9):1396–1403.
- Li P, Qu LP, et al. Significance of perioperative goal-directed hemodynamic approach in preventing postoperative complications in patients after cardiac surgery: a meta-analysis and systematic review. Ann Med. 2017;49(4):343–351.
- Nyboer J, Bagno S, Barnett A, et al. Radiocardiograms: electrical impedance changes of the heart in relation to electrocardiograms and heart sounds. J Clin Invest. 1940;19:963.
- Kubicek WG, Karnegis JN, Patterson RP, et al. Development and evaluation of an impedance cardiac output system. Aerosp Med. 1966;37(12):1208–1212.
- Sramek BB, Rose DM, Miyamoto A. 1983. Stroke volume equation with a linear base impedance model and its accuracy, as compared to thermodilution and magnetic flowmeter techniques in humans and animals. Paper presented at: the 6th International Conference on Electrical Bioimpedance, Zadar, Yugoslavia; 38 15.
- Bernstein DP. A new stroke volume equation for thoracic electrical bioimpedance: theory and rationale. Crit Care Med. 1986;14(10):904–909.
- Carvalho P, Paiva RP, Henriques J, et al. 2011. Robust characteristic points for ICG: Definition and Comparative Analysis, Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, Rome, Italy.
- Vincent J-L. Understanding cardiac output. Crit Care. 2008;12(4):174.
- Brown BH, Barber DC, Morice AH, et al. Cardiac and respiratory related electrical impedance changes in the human thorax. IEEE Trans Biomed Eng. 1994;41(8):729–723.
- Wang L, Patterson RP, Raza SB. Respiratory effects on cardiac related impedance indices measured under voluntry cardiorespiratory synchronisation (VCRS). Med Biol Eng Comput. 1991;29(5):505–510.
- Pandey VK, Pandey PC. Cancellation of respiratory artifacts in impedance cardiography. Proc. 27th Annual Int. Conf. of the IEEE Eng. Med. Biol. Soc. (IEEE/EMBC’05), 2005. pp.1–4.
- Hu X. Adaptive filtering and characteristics extraction for impedance cardiography. J Fiber Bioeng Inf. 2014;7:81–90.
- Kelsey RM, Guethlein W. An evaluation of the ensemble averaged impedance cardiogram. Psychophisiology USA. 1990;27(1):25–27.
- Yamamoto Y, Mokushi K, Tamura S, et al. Design and implementation of a digital filter for beat-by-beat impedance cardiography. IEEE Trans Biomed Eng. 1988;35(12):1086–1090.
- Raza SB, Patterson RP, Wang L. Filtering respiration and low-frequency movement artefacts from the cardiogenic electrical impedance signal. Med Biol Eng Comput. 1992;30(5):556–561.
- Barros AK, Yoshizawa M, Yasuda Y. Filtering noncorrelated noise in impedance cardiography. IEEE Trans Biomed Eng. 1995;42(3):324–327.
- Pandey VK, Pandey PC. Wavelet based cancelation of respiratory artifacts in impedance cardiography. Proc. 15th Intl. Conf. on Digital Signal Processing (IEEE/DSP), 2007. pp.191–194.
- Mallam M, Rao KCB. Efficient reference-free adaptive artifact cancellers for impedance cardiography based remote health care monitoring systems. Springer Plus. 2016;5(770):1–17.
- Casali JG, Wierwille WW, Cordes RE. Respiratory measurement: overview and new instrumentation. Behav Res Methods Instrum. 1983;15(4):401–405.
- Hung DV, Hung PD, Hai VD, et al. A new method of measuring impedance cardiography for cardiac output estimation by directly digitizing the high frequency modulated signal at lower sampling rate. J Sci Technol. 2018;131:94–99.
- Hung PD, Dan CQ, Hai VD. Specifying respiratory noise in the ICG signal to measure hemodynamic parameters. International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2020.
- Schuessler TF, Gottfried SB, Goldberg P, et al. An adaptive filter to reduce cardiogenic oscillations on esophageal pressure signals. Ann Biomed Eng. 1998;26(2):260–267.
- Daubechies I. Ten lectures on wavelets. Philadelphia: SIAM; 1992.
- Akansu AN, Haddad RA. Multiresolution signal decomposition. San Diego: Academic Press; 2001.
- Mallat SG. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal Machine Intell. 1989;11(7):674–693.
- Bawa K, Sabherwal P. R-Peak detection by modified Pan-Tompkins algorithm. Int J Advancements Res Technol. 2014;3(5):234–239.
- Pan J, Tompkins WJ. A real-time QRS detection algorithm. IEEE Trans Biomed Eng. 1985;32(3):230–236.
- Bour J, Kellett J. Impedance cardiography: a rapid and cost-effective screening tool for cardiac disease. Eur J Intern Med. 2008;19(6):399–405.
- DeMarzo AP, Kelly RF, Calvin JE. Impedance cardiography: a comparison of cardiac output vs waveform analysis for assessing left ventricular systolic dysfunction. Prog Cardiovasc Nursing. 2007;22(3):145–151.
- Webster, John G., and Nimunkar, Amit J., eds. Medical instrumentation: application and design. 5th ed. John Wiley & Sons, 2020. pp. 452–497.