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E. Schwarz

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#machine learning Preprint Aug 2026

Spectral Features Dominate BCG Respiratory-Event Detection: A Large-Scale Patient-Independent Comparison of Feature Groups in Sleep Apnea Patients

A literature-guided, patient-independent comparison of ten BCG feature groups using a 512-sensor capacitive pressure mat recorded simultaneously with respiratory polygraphy in 155 patients undergoing in-hospital evaluation for obstructive sleep apnea shows that a compact, interpretable subset of the full feature library achieves clinically relevant performance under patient-independent validation and provides an empirical basis for feature selection in future BCG systems.

Israel Campero Jurado, Zoe Bousraou, Lara Benning et al. · 0 citations