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Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation., , , , , , , , и . Sensors, 20 (12): 3601 (2020)Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network., , , , и . BioCAS, стр. 1-4. IEEE, (2019)The Progression of Heart Rate Variability Parameters Throughout Cardiac Rehabilitation., , , , , , , , и . CinC, стр. 1-4. IEEE, (2019)Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology., , , , , , , , , и 1 other автор(ы). Sensors, 20 (22): 6593 (2020)Validation of a Smartphone-based Photoplethysmographic Beat Detection Algorithm for Normal and Ectopic Complexes., , , , , , и . CinC, стр. 845-848. www.cinc.org, (2014)Waving at the Heart: Implementation of a Kinect Based Real-Time Interactive Control System for Viewing Cineangiogram Loops During Cardiac Catheterization Procedures., , , , , , и . CinC, стр. 229-232. www.cinc.org, (2013)Vital Signs Prediction for COVID-19 Patients in ICU., , , , , , , , , и 5 other автор(ы). Sensors, 21 (23): 8131 (2021)Evaluation of HRV from Repeated Measurements of PPG and Arterial Blood Pressure Signals., , , , , и . CinC, стр. 1-4. IEEE, (2021)Remote Monitoring of COVID-19 Patients Following Discharge from a Tertiary Care Center., , , , , и . CinC, стр. 1-4. IEEE, (2022)Automatic mitral annulus tracking in volumetric ultrasound using non-rigid image registration., , , , , , и . EMBC, стр. 1985-1988. IEEE, (2015)