In this paper, we have developed a client-server model implemented as a telemedical platform for real-time remote monitoring of the cardiovascular function in patients suffering from arrhythmia. This technical platform capable of detecting and classifying in real-time cardiac arrhythmia via a Graphical User Interface (GUI) using Time-Frequency analysis methods, features extraction, features selection, and classification of the Heart Rate Variability signal recorded using a data acquisition system. The data acquisition system that we used is mainly designed around the Raspberry Pi zero which communicates with a server through the TCP/IP involving a 4G/3G connection secured by the transport layer security (TLS) for a reliably safe connection between client and server. This telemedical platform adopts continuous control and monitoring of the heart rhythm. By using this system, in case of an alarm, medical staff can easily communicate with their patients in the hospital or at home.