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Time-frequency analysis of the ECG including optical processing

Başlık çevirisi mevcut değil.

  1. Tez No: 400611
  2. Yazar: MEHMET EMİN TAĞLUK
  3. Danışmanlar: DR. M. J. ENGLISH
  4. Tez Türü: Doktora
  5. Konular: Biyomühendislik, Bioengineering
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 1997
  8. Dil: İngilizce
  9. Üniversite: University of Sussex
  10. Enstitü: Yurtdışı Enstitü
  11. Ana Bilim Dalı: Biyomedikal Mühendisliği Ana Bilim Dalı
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: 214

Özet

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Özet (Çeviri)

Advances in time-frequency analysis have brought a new insight to physiological signals which have a highly nonstationary nature. Specifically, Ventricular Late Potentials (VLPs), which are considered to be the signatures of sustained Myocardial Infarction causing sudden cardiac death, need to be analysed in this domain in a quantitative sense. This study begins with an investigation of a time-frequency technique that will suit the analysis of the time-varying spectra of the ECG. This analysis aims to disclose the information related to the start and duration of the contribution of a component to the ECG signal. Due to the Uncertainty Principle the Spectrogram and Sonogram have been found to have serious hmitations. Therefore, the Wigner-Ville Distribution (WVD) has been concerned in undertaking this vital task. The WVD is unique and possesses all the desirable properties of a time-frequency representation. The only shortcoming, however, is the unwanted cross terms that are generated. The study contributes in developing a Universal kernel (UK) for cross terms removal. A data adaptive version of the kernel has also been introduced. This is performed by processing the image of the Ambiguity Function (AF) of the signal. Another aspect of this study is the development of an optical system which is used to compute and monitor- the time-frequency distribution of ECG signals in real-time. The system co-operates with a PC, DSP board and user interface software that is developed for the system's management. A significant aspect of this work is in opening up a new direction for future research. The application of WVD filtered by the UK has shown good performance in displaying time-varying spectra of the ECG. Besides the SKR improvement this technique has been used for determining the exact structure of the QRS complex and the T wave. It has also made a significant improvement in recovering small-energy components (VLPs).

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