Biomedical subjects

H A al-Nashash

Publications and source records attributed to H A al-Nashash.

4 recordsLinked to original sources

PubMed1995

A dynamic Fourier series for the compression of ECG using FFT and adaptive coefficient estimation.

In this article, a new ECG data compression technique is proposed. The method relies on modelling quasi-periodic ECG signals as a dynamic Fourier series. Fourier coefficients are continuously estimated using either an FFT algorithm or the adaptive least mean square algorithm. Results from simulated normal and pathological ECGs are presented and discussed. The merits of each of the above two methods are also illustrated. Furthermore, a comparison with other compression techniques is also discussed.

Algorithms↗

PubMed1994

ECG data compression using adaptive Fourier coefficients estimation.

In this article, a new ECG data compression technique is proposed. The method relies on modelling quasi-periodic ECG signals as a dynamic Fourier series. Fourier coefficients are continuously estimated using the adaptive least-mean-square algorithm. Results from simulated normal and pathological ECGs are presented and discussed. A comparison with other compression techniques is also discussed.

Electrocardiography, Ambulatory↗

PubMed1993

New method for estimating explosive anaerobic leg power.

In this article, a new technique for estimation of explosive anaerobic leg power is proposed. The method relies on accurately measuring the time duration of muscular contraction and the time spent off the ground while performing a vertical jump. Contribution of arms to leg power measurement is minimized by fixing arms at belt line during the test. Results from nine athletes are presented and discussed. A comparison with other methods is also discussed.

Adult↗

PubMed1989

Noninvasive beat-to-beat detection of ventricular late potentials.

The detection of ventricular late potentials is a subject of some clinical interest. Most techniques currently being investigated rely on signal averaging to extract the microvolt signals from the considerable amounts of noise which are present. Although this approach produces useful results, it does remove any beat-to-beat variations from the signal, and also requires that the signal be present for a considerable number of beats. The paper describes a technique for detecting ventricular late potentials from the body surface, which preserves beat-to-beat variations. The most important aspect of this technique is the use of an adaptive signal enhancer to minimise random noise. Representative results for one normal and two pathological subjects are presented and discussed. A comparison with signal averaging is made and the effectiveness of adaptive signal enhancement is illustrated.

Adult↗