From classic to cutting-edge: technological approaches to respiratory physiological signals in assessing sleep-disordered breathing

The authors aim to evaluate the advancements in respiratory physiological signal measurement techniques for diagnosing sleep-disordered breathing (SDB) and highlight the inadequacies of current home sleep apnea testing (HSAT) classification frameworks. They synthesize both traditional and emerging diagnostic modalities, emphasizing the need for a reconceptualization of sleep testing taxonomies to better reflect the evolving landscape of SDB diagnostics and enhance clinical relevance.