Visualization of electrocardiograms using cardioids

Heart rate (HR) is primarily governed by the sympathetic and parasympathetic components of the autonomic nervous system (ANS). In a normal person the precision of neural control over HR dynamics confers certain amount of adaptation. This judicious neural balance over HR is considerably altered and manifested in certain states such as congestive heart failure (CHF). However, the challenge lies in detecting subclinical cases of autonomic neural imbalance as in diabetes mellitus and nutritional disorders such as obesity or underweight/under nutrition. We developed a simple computer color display model to depict instantaneous HR variability (HRV), using lead II ECG´s of healthy adult males taken during rest and while performing various physiological maneuvers. An instantaneous HRV color cardioid aid can be of much use in monitoring patients in coronary critical care units. Our model confers much needed objectivity in diagnosis and prognosis apart from conferring simplicity and ease in monitoring, even by the non medical staff