TETRIS is a tessellation-based time-frequency representation that uses a generalized adaptive non-harmonic model to recover respiratory modulations from PPG signals by adaptively processing partitions along the cardiac instantaneous frequency.
Machine learning-based respiration rate and blood oxygen saturation estimation using photoplethysmogram signals.Bioengineering, 10(2):167
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Data-driven time-frequency tessellation for signals with oscillatory amplitude envelopes and instantaneous frequency, with application to photoplethysmograhy
TETRIS is a tessellation-based time-frequency representation that uses a generalized adaptive non-harmonic model to recover respiratory modulations from PPG signals by adaptively processing partitions along the cardiac instantaneous frequency.