Nowadays, cardiac diseases are the major cause of death in the world, so to help in their diagnosis and monitoring non-obtrusive techniques are being explored and studied to have a more comfortable experience for the patients. The signal leading these studies is ballistocardiogram (BCG), which relies on the pressure exerted by the blood when travelling through the vascular tree. The present thesis investigates the extraction of heart rate features from BCG signals in optimal working conditions. Conducted at Holst Centre, this research capitalizes on a sensored mat developed by the company. The primary objective is to explore and compare various methods for heart rate detection and signal processing, enhancing the understanding of their efficacy and performance.