Detection of obstructive sleep apnoea using dynamic filter-banked features

► This study presents a methodology for OSA detection based on HRV time series. ► The HRV is characterized by dynamic banked features extracted from its spectrogram. ► The spectral splitting scheme to search frequency boundaries is introduced. ► Attained results show similar performance compared with another outcomes. ► An easier clinical interpretation of HRV-derived parameters is obtained.