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A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals.

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Sensors Fusion and Multidimensional Point Cloud Analysis for Electrical Power System Inspection., , , , , and . Sensors, 20 (14): 4042 (2020)Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices., , , , , , , and . CoRR, (2023)A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal., , , , , and . CinC, page 1-4. IEEE, (2022)3D Correspondence and Point Projection Method for Structures Deformation Analysis., , , , and . IEEE Access, (2020)2D Image-Based Atrial Fibrillation Classification., , , , , , and . CinC, page 1-4. IEEE, (2021)Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features., , , , , , , and . CoRR, (2023)Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization., , , , , , , and . IEEE Access, (2023)Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm., , , , , and . Comput. Methods Programs Biomed., (2021)Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment., , , , , , and . IEEE Access, (2023)A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals., , , , , , , and . CoRR, (2023)