Multi class disorder detection of magnetic resonance brain images using composite features and neural network.

Brain disorder recognition has becoming a promising area of study. In reality, some disorders share similar features and signs, making the task of diagnosis and treatment challenging. This paper presents a rigorous and robust computer aided diagnosis system for the detection of multiple brain abnormalities which can assist physicians in the diagnosis and treatment of brain diseases.

Development of computerized masticatory force measurement system.

Purpose: The aim of this study was to assess the Maximum Voluntary Bite Force (MVBF) in Indian population with normal occlusion and after treatment of mandibular angle fracture.

Materials And Methods: This paper discusses the development of a sensor fork with modified load cell and computer-based bite force measuring system that generates force profile on the computer. This is a powerful diagnostic tool in response to the needs of dentists seeking an accurate way to dynamically measure occlusion.

Normal limits of the electrocardiogram in Indians.

Aims: The objective of the study was to develop normal limits of the ECG in an apparently healthy population of South Asians living in India.

Methods: Three centres contributed to recording 12 lead ECGs on identical digital electrocardiographs. Apparently healthy volunteers were recruited and ECGs were first transferred to a local database and then to Glasgow where all ECGs were analysed by the same University of Glasgow ECG Interpretation Program.

Effect of a multi-lead PCA approach on modified moving average method for T-wave alternans detection.

T-wave alternans, a beat-to-beat re-polarization pattern variation phenomenon, plays an important role in sudden cardiac death prediction. The proposed method modifies the currently available Modified Moving Average Method (MMAM) by a multi-lead principal component analysis (PCA) approach. Application of PCA will concentrate the alternans effect, which is supposed to be distributed on multiple leads in a single derived lead.

Racial differences in the ECG--selected aspects.

Introduction: Racial differences in the ECG have been known about for many years but there has been no significant comparison of large population groups. This study set out to remedy this shortcoming.

Methods: Digital ECG data were available for four population samples gathered in Scotland, Taiwan, Nigeria and India.