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Diffusion-based nonlinear filtering for multimodal data fusion with application to sleep stage assessment.

, , , and . CoRR, (2017)

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Assess Sleep Stage by Modern Signal Processing Techniques., , and . IEEE Trans. Biomed. Eng., 62 (4): 1159-1168 (2015)A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification., , , and . CoRR, (2019)Alternating diffusion maps for multimodal data fusion., , , and . Inf. Fusion, (2019)Sleep Apnea Detection Based on Thoracic and Abdominal Movement Signals of Wearable Piezoelectric Bands., , , , , and . IEEE J. Biomed. Health Informatics, 21 (6): 1533-1545 (2017)A Portable Monitoring System with Automatic Event Detection for Sleep Apnea Level-IV Evaluation., , , , , and . ISCAS, page 1-4. IEEE, (2018)Save Muscle Information-Unfiltered EEG Signal Helps Distinguish Sleep Stages., , , , , and . Sensors, 20 (7): 2024 (2020)Diffuse to fuse EEG spectra - Intrinsic geometry of sleep dynamics for classification., , , , and . Biomed. Signal Process. Control., (2020)Calibration for massive physiological signal collection in hospital - Sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data., , , , and . CoRR, (2018)Diffusion-based nonlinear filtering for multimodal data fusion with application to sleep stage assessment., , , and . CoRR, (2017)Portable Sleep Apnea Syndrome Screening and Event Detection Using Long Short-Term Memory Recurrent Neural Network., , , , , and . Sensors, 20 (21): 6067 (2020)