Intelligent System Based on Impedance Cardiography for Non-invasive Measurement and Diagnosis

  • Pranali C. Choudhari
  • M. S. Panse
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 384)


Impedance cardiography has become a synonym for indirect assessment of monitoring the stroke volume, cardiac output and other hemodynamic parameters by monitoring the blood volume changes of the body. In this method the changes in the impedance within a certain body segment are recorded as a measure of the physiological changes happening within that segment, thus making it suitable for assessment of physiological parameters. The accurate computer aided diagnosis of the cardiovascular diseases is gaining impetus. Accuracy and non -invasiveness of the diagnostic system have become the need of the hour. This paper presents an intelligent system for measurement of haemodynamic parameters and diagnosis of diseases with the help of impedance cardiography. The vital parameters are calculated with the bioimpedance signals obtained non-invasively along the thorax. For the diagnosis the signals are recorded across the radial artery. The multivariate analysis has been used to obtain a diagnosis index based on various time as well as frequency domain parameters.


Impedance cardiography(ICG) Radial artery Haemodynamic Noninvasive Analysis of Variance (ANOVA) Multivariate analysis 


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  1. 1.
    Kubicek, W.G., Karnegis, J.N., Patterson, R.P., Witsoe, D.A., Mattson, R.H.: Development and evaluation of an impedance cardiac output system. Aerospace Medicine 37(12), 1208–1212 (1966)Google Scholar
  2. 2.
    Sramek, B.B.: BoMed’s electrical bioimpedance technology for thoracic applications (NCCOM): Status report, May 1986 Update, pp. 19–21. BoMed Ltd., Irvine (1986)Google Scholar
  3. 3.
    Bernstein, D.P.: Impedance cardiography: pulsatile blood flow and the biophysical and electrodynamic basis for the stroke volume equations. Journal of Electrical Bioimpedance 1, 2–17 (2010)CrossRefGoogle Scholar
  4. 4.
    Henry, I.C., Bernstein, D.P., Banet, M.J.: Stroke volume obtained from the brachial artery using transbrachial electrical bioimpedance velocimetry. In: 34th Annual International Conference of the IEEE EMBS San Diego, California, USA (2012)Google Scholar
  5. 5.
    Barde, P., Bhatnagar, A., Narang, R., Deepak, K.K.: Comparison of non-invasive cardiac output measurement using Indigenous impedance cardiography with invasive fick method. International Journal of Biomedical Research 3, 11 (2012)Google Scholar
  6. 6.
    Schmidt, C., Theilmeier, G., Van Aken, H., Korsmeier, P., Wirtz, S.P., Berendes, E., Hoffmeier, A., Meissner, A.: Comparison of electrical velocimetry and transoesophageal Doppler echocardiography for measuring stroke volume and cardiac output. British Journal of Anaesthesia 95(5), 603–610 (2005)CrossRefGoogle Scholar
  7. 7.
    Sharma, Singh, A., Bhuvanesh, K., Anil, K.: Comparison of transthoracic electrical Bioimpedance cardiac output measurement with thermodilution method in post coronary artery bypass graft patients. Annals of Cardiac Anaesthesia 14-2 (2011) Google Scholar
  8. 8.
    Peacock, W.F., Summers, R.L., Vogel, J., Emerman, C.E.: Impact of impedance cardiography on diagnosis and therapy of emergent dyspnea: the ED-IMPACT trial. Academic Emergency Medicine 13(4), 365–371 (2006)CrossRefGoogle Scholar
  9. 9.
    DeMarzo, A.P., Kelly, R.F., Calvin, J.E.: Impedance cardiography: a comparison of cardiac output vs waveform analysis for assessing left ventricular systolic dysfunction. Prog. Cardiovasc. Nurs. 22, 145–151 (2007)CrossRefGoogle Scholar
  10. 10.
    Antonicelli, R., Savonitto, S., Gambini, C., et al.: Impedance cardiography for repeated determination of stroke volume in elderly hypertensives: correlation with pulse echocardiography. Angiology 42, 648–653 (1991)CrossRefGoogle Scholar
  11. 11.
    Demarzo, A.P.: Using impedance cardiography to detect subclinical cardiovascular disease in women with multiple risk factors: a pilot study. Prev. Cardiol. 12, 102–108 (2009)CrossRefGoogle Scholar
  12. 12.
    Ferrario, C.M., Jessup, J.A., Smith, R.D.: Hemodynamic and hormonal patterns of untreated essential hypertension in men and women. Ther. Adv. Cardiovasc. Dis. 7(6), 293–305 (2013)CrossRefGoogle Scholar
  13. 13.
    Jindal, G.D., Nerurkar, S.N., Pedhnekar, S.A., Babu, J.P., Kelkar, M.D., Deshpande, A.K., Parulkar, G.B.: Diagnosis of peripheral arterial occlusive diseases using impedance plethysmography. J. Postgrad. Med. 36, 147 (1990). [serial online] [cited 2015 Jun 4]Google Scholar
  14. 14.
    Parmar, C.V., Prajapati, D.L., Chavda, V.V., Gokhale, P.A., Mehta, H.B.: A Study of Cardiac Parameters using Impedance Plethysmography (IPG) in Healthy Volunteers. J. Phys. Pharm. Adv. 2(11), 365–379 (2012)Google Scholar
  15. 15.
    Pranali, C.: Choudhari Denoising of Radial Bioimpedance Signals using Adaptive Wavelet Packet Transform and Kalman Filter, 01-08. IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) 5(1), 01–08 (2015). Ver. II (Jan–Feb. 2015)Google Scholar
  16. 16.
    Piskorski, J., Guzik, P.: Filtering Poincare´ plots. Computational Methods in Science and Technology 11, 39–48 (2005)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Electronics EngineeringVeermata Jijabai Technological InstituteMumbaiIndia

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