Detail publikace

High Resolution Methods For Detection Of Electrophysiological Changes In The Ischaemic Heart

Originální název

High Resolution Methods For Detection Of Electrophysiological Changes In The Ischaemic Heart

Anglický název

High Resolution Methods For Detection Of Electrophysiological Changes In The Ischaemic Heart

Jazyk

en

Originální abstrakt

In search for instruments of early diagnosis of myocardial ischaemia, the latest high-resolution methods have been adopted. These methods are based on time-frequency wavelet analysis of intra-QRS changes. In this study, the sensitivity of the wavelet transform was further improved by using phase spectra analysis and hidden Markov model recognition. Ischaemic changes in ECG signals, recorded by orthogonal leads, were studied in 11 isolated rabbit hearts. The most reliable results, in terms of early diagnosis of myoardial ischaemia, were obtained in lead X on the basis of phase-shift detection and by hidden Markov model recognition.

Anglický abstrakt

In search for instruments of early diagnosis of myocardial ischaemia, the latest high-resolution methods have been adopted. These methods are based on time-frequency wavelet analysis of intra-QRS changes. In this study, the sensitivity of the wavelet transform was further improved by using phase spectra analysis and hidden Markov model recognition. Ischaemic changes in ECG signals, recorded by orthogonal leads, were studied in 11 isolated rabbit hearts. The most reliable results, in terms of early diagnosis of myoardial ischaemia, were obtained in lead X on the basis of phase-shift detection and by hidden Markov model recognition.

BibTex


@article{BUT40932,
  author="Ivo {Provazník} and Jana {Kolářová} and Marie {Nováková} and Zuzana {Nováková} and Jiří {Kozumplík}",
  title="High Resolution Methods For Detection Of Electrophysiological Changes In The Ischaemic Heart",
  annote="In search for instruments of early diagnosis of myocardial ischaemia, the latest high-resolution methods have been adopted. These methods are based on time-frequency wavelet analysis of intra-QRS changes. In this study, the sensitivity of the wavelet transform was further improved by using phase spectra analysis and hidden Markov model recognition. Ischaemic changes in ECG signals, recorded by orthogonal leads, were studied in 11 isolated rabbit hearts. The most reliable results, in terms of early diagnosis of myoardial ischaemia, were obtained in lead X on the basis of phase-shift detection and by hidden Markov model recognition.",
  chapter="40932",
  number="5",
  volume="75",
  year="2002",
  month="november",
  pages="223",
  type="journal article - other"
}