A Preliminary Study in the Detection of Cardiac Disorders via Phase-Invariant Signature Algorithm of ECG

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Abstract
A simple and unambiguous computer-assisted method for the detection of caridac disorders by processing the ECG is presented. A new technique, Phase Invariant Signature Algorithm (PISA), is described, which is useful in the detection of cardiac abnormalities by investigating certain statistical properties of the measured waveform of ECG in a phase-locked fashion. This method of detection of abnormalities in the heart was used in the changes in the hypoxic action potential and in the ECG due to ionic changes and ischemia in the heart of cats and dogs [Guinea pig papillary muscle was also investigated]. The signature of the normal ECG or action potential was straight-line. Any change in the waveform of ECG or action potential was detected as spikes in the signature. This method of detection of cardiac abnormalities does not require a priori preference to any standard ECG. This new method is capable of detecting cardiac disorders at an early stage and hence a higher sensitivity than the presently available type of ECG analysis. This method is in the developmental stage and further studies are being carried out.

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