Biomedical subjects

H Al-Nashash

Publications and source records attributed to H Al-Nashash.

4 recordsLinked to original sources

PubMed2001

Effect of vibrations with various duration exposure on the P-R interval of ECG.

ECG analysis of a human body subjected to vertical vibrations of various durations was carried out. Results obtained from a representative subject show that the exposure period has different effects on the P-R time interval of the ECG waves. Vibration increases the Percent Normalized Difference (PND) of the P-R time interval with time till it reaches a steady state value of 29.5. An increase of the exposure duration increases the time constant, while the steady state value remains constant. The PND behavior can be mathematically modeled as a first order system.

Biomedical Engineering↗

PubMed2000

Cardiac arrhythmia classification using neural networks.

In this paper, ECG arrhythmia classification using principal component analysis is proposed. Hebbian neural networks are used for computing the principal components of an ECG signal. This provides an unsupervised feature extraction, dimension reduction and an improved computing efficiency. Results from 14 pathological records obtained from the MIT ECG database demonstrate the capability of this method in differentiating between five different types of arrhythmia despite the variations in signal morphology. An average value for classification sensitivity and positive predictivity were found to be Se% = 98.1% and +P% = 94.7% respectively.

Algorithms↗

PubMed1997

Three-dimensional model for the simulation of the HPS electrogram.

In this paper, simulation of the His-Purkinje system (HPS) electrogram based on a three-dimensional model is proposed. The simulation is based on transformation of a two-dimensional HPS into a three-dimensional curvilinear system. Furthermore, the proposed HPS takes into consideration not just the left bundle branch but also the right bundle branch. Results obtained from normal and abnormal HPS electrograms show great similarity with those obtained experimentally.

Action Potentials↗

PubMed1997

Sudden infant death syndrome detector.

A safe and simple system for the detection of sudden infant death syndrome (SIDS) is proposed. The system consists of an optoelectronic transceiver and electronic circuits capable of detecting infant breath, heart beating and any other infant movement. The system also includes an active alarm circuit. In case of absence of body activity or breathing, the active alarm will give the infant a mild push in order to awaken him or her. If there is no reaction, an audiovisual alarm is activated. Results obtained from six university students and three new born infants show that the system is capable of detecting apnea and SIDS.

Calibration↗