Review Article  OPEN ACCESS

Computer diagnosis in cardiology

Graham Wilfred Ewing, Elena Nikolayevna Ewing

Montague Healthcare, Mulberry House, Vine Farm Close, Cotgrave, Nottingham, United Kingdom.

Cite this article:Ewing GW, Ewing EN. Computer diagnosis in cardiology. North Am J Med Sci 2009; 1: 152-159.
Availability: www.najms.org
ISSN: 1947 – 2714

Abstract
This article reports upon the emergence of a novel cognitive, computer-based technology which may lead to significantly improved methods of cardiological diagnosis and a rapid and inexpensive method of cardiological screening.

The technology ‘Virtual Scanning’ illustrates how, in blood, the reaction of proteins and their reactive substrates releases light; that the colour and intensity of this bioluminescence is unique to each reaction and it’s rate; and that the development of  pathologies influence cognition and visual perception. This illustrates that the function of the autonomic nervous system is linked to that of the physiological systems and that the rate of biochemical reactions, and the progression of disease, can be measured by a cognitive test procedure and used as an indication of the disease(s) affecting heart function.

The article discusses the limitations of the conventional biomarker technique, and the potential value of non-invasive cognitive techniques, such as Virtual Scanning, to the medical practitioner. Finally, it discusses how the ability of Virtual Scanning to diagnose disease from its presymptomatic origins may lead to improved diagnostic accuracy and significantly reduced costs.

Keywords: Computer diagnosis, autonomic nervous system, visual perception, virtual scanning, mathematical modeling, physiological systems.

Correspondence to: Graham Wilfred Ewing, Montague Healthcare, Mulberry House, 6 Vine Farm Close, Cotgrave, Nottingham NG12 3TU, England. Tel.: 0115-9890304/9899618, Fax: 0115-9899826. Email: graham.ewing@montague-diagnostics.co.uk