The common methodology in data embedding is that in the sender side the data that is to be hided is placed with in the values of the cover ECG Signal producing the stego ECG Signal. In the receiver side the embedded data in the stego ECG Signal is retrieved by reversing the same process that is employed for embedding. The data that is to be hided is embedded in the ECG Signals using LSB method. A method that embeds the data inside an ECG Signal with the help of LSB method is proposed. The ECG Signal is divided into four coefficients based on the DWT decomposition. The process reduces the distortions in the stego ECG Signal and hence the identification of the data in the ECG Signal is a complicated one. The secret message in our case the patient’s data were initially converted into matrix format which is known as the embedding sequence. The data is hided in the LL coefficients of the ECG Signal. The LL coefficients wereThe process is employed for the whole ECG Signal. The embedded bits were obtained by reversing the embedding process. The ECG Signal is divided into small blocks. Using the key obtained the pixels where the message bits were located is identified. From the identified pixel location the embedding sequence is obtained. The embedding sequence is reconstructed into the message. The pixel pair matching process improves the performance of the embedding process. The neighboring pixel points in the ECG Signals were identified based on the embedding data and they are replaced by the data. For the identification of the neighboring pixels pixel pair matching process is used. The pixel pair matching method identifies the next pixel to be chosen using extraction function and neighborhood selection. The minimum value is calculated such that all the message bits can be embedded. Then, message digits are sequentially concealed into pairs of pixels. The performance of the process is measured with the help of the calculation of the Compression Ratio, PSNR and MSE. The Compression Ratio identifies the capacity of the bits located in the ECG Signals. The PSNR and the MSE values indicates the similarities between the input and the output ECG Signal. The measured performance indicates that the proposed system is capable of the hiding the messages with better accuracy and the process is reversible also and hence has numerous applications.