Electrocardiogram (ECG) is a graphical illustration of the cardiac cycle as produced by an electrocardiograph. ECG recordings are indispensable when it comes to monitoring critical cardiac patients, astronauts etc. However, this around-the-clock surveillance results in voluminous ECG data, which becomes difficult to handle. Thus, the basic requisities of minimal usage of data storage space and speedy transmission over channels in tele-medicine fostered research in the field of ECG Data Compression. So far numerous techniques under Direct Data methods of compression like Turning Point (TP), Amplitude Zone Time Epoch Coding (AZTEC), Coordinate Reduction Time Encoding System (CORTES), Scan Along Polygonal Approximation (SAPA), Fan etc. have served the purpose fairly. This work tends to amalgamate the TP and modified AZTEC techniques, providing an efficient hybrid algorithm for compression.