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Hong, B., Kai, J., Ren, Y., Han, J., Zou, Z., Ahn, C.H. and Kang, K.A. (2008) Highly Sensitive Rapid, Reliable, and Automatic Cardiovascular Disease Diagnosis with Nanoparticle Fluorescence Enhancer and Mems. Advances in Experimental Medicine and Biology, 614, 265-273.
http://dx.doi.org/10.1007/978-0-387-74911-2_30

has been cited by the following article:

• TITLE: A New Method for Cardiac Diseases Diagnosis

  AUTHORS: Ridha Ben Salah, Tareq Alhadidi, Sofienne Mansouri, Mounir Naouar

  KEYWORDS: Signal Processing, Cepstral Parameters, Bioimpedance, Cardiac Diseases, Automatic Diagnosis

  JOURNAL NAME: Advances in Bioscience and Biotechnology, Vol.6 No.4, April 24, 2015

  ABSTRACT: The objective of this work is to perform automatic diagnosis using a non invasive method which consists on the bioimpedance signal processing. Bioimpedance signal (BIS) represents the aorta impedance variation during the heart cycle activity. BIS is detected by mean of two electrodes located at the level of the ascendant aorta. Automatic diagnosis method consists on preparing, first, a data base with a set of cepstral parameters of different BIS according to normal case and different cardiac diseases. This data base is composed from n classes Yk corresponding to n diseases. The classification of anonymous individuals is based on the determination of Fisher distance between anonymous disease and class Yk using Fischer formula. Our method permits to calculate seven relevant cepstral parameters. The application of Fisher method has allowed us to perform the diagnosis of five anonymous cases. The major interest of this method is its especially useful for the exploration of cardiovascular system anomalies for emergency cases, children, elderly and pregnant women who can’t support surgical operations especially at the level of the heart.