This paper deals with the Skewness based assessment of ECG signals. Electrocardiogram signals of a normal healthy person and a patient suffering from Myocardial Ischemia are collected for assessment. This has been done by first, collecting normal ECG signal collected then de-noising by passing it through well-known Savitzky-Golay FIR filter. Then Skewness values of detail coefficients of the normal ECG signal at different DWT decomposition level is measured. Then, real ECG signal collected from a heart patient and is then de-noised by passing it through wellknown Savitzky-Golay FIR filter. Then Skewness values of detail coefficients of this real ECG signal at different DWT decomposition level is determined. Radars of Skewness values of detail coefficients of the de-noised normal and real ECG signal at different DWT decomposition level are formed. It shows clear and distinct difference of radars of skewness of detail coefficients of the de-noised normal and real ECG signal with different DWT decomposition level.