Ballistocardiogram (BCG) is a measure of the ballistic force when the heart pumps blood into the circulatory system. Although the electrocardiogram (ECG) is the standard technique for diagnosis, it requires physical contact with patients’ skin. BCG systems use non-intrusive sensors (EMFi) to acquire the signal, which can be used to monitor patient vital signs in waiting rooms or other non-standard settings. ICBHI22 challenged participants to detect heartbeats from BCG records on a provided dataset acquired from patients and volunteers. Each algorithm was tested on a hidden dataset, to avoid fine-tuning. A synchronised ECG signal was used as gold-standard to score the competing algorithms. The results show the feasibility of BCG beat detection in different conditions and provide a comparison point for future developments.