Heart murmur detection model combining spectrogram-derived deep features with hand-crafted peak-interval (PI) features extracted from phonocardiogram recordings, submitted to the George B. Moody PhysioNet Challenge 2022 (team CAU_UMN) and later extended into the 'SpectroHeart' method. Peak-to-peak interval sequences and their summary statistics are combined with spectrogram representations of the PCG signal, optionally alongside patient demographic data, to classify murmur presence across multiple auscultation locations. The team's Challenge submission placed 5th of all teams on the murmur-detection task.