Abstract: A non-invasive system and method of diagnosing and predicting cardiac disease in a patient's heart is disclosed that comprises a microprocessor which contains a signal processor and a pattern recognition processor; detect the electrophysiological signals of the heart whereby the signals are processed to create a pattern that represents the patient's heart. The pattern may be further processed by repeatedly comparing it to patterns stored within the pattern recognition processor whereby certain coronary diseases such as myocardial ischemia in the patient's heart may be diagnosed. During each heartbeat, at least a million different electrical signals are collected and the results of test are displayed on a screen. The results may include the diagnosis, computer generated image of the patient's heart identifying areas of any cardiac disease that has been detected and/or a two dimensional non-linear waveform representing the electrophysiological signals of the patient's heart.

Abstract: A knee pad having main body comprised of a piece of foam or the like covered with a protective coating such as fabric. The foam has a top and a bottom and a front end and a back end. The foam is enclosed in a cover having a front side and a bad side. A substantially egg-shaped cup is placed on the front side of the cover. The cup is shaped so that it conforms to the knee and, in the preferred embodiment, is ergonometrically designed so as to provide easy swivelling around the knee without slippage. The cup is stitched to the pad through both sides of the cover and through the foam around the outer edge at the top and bottom thereof. The stitching on the cup in placed in a groove near the outer edge of the cup. Affixed to each side of the cover there are two strapping means comprised of elastic or the like for attaching the kneepad to the knee of the user.