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A Gait Analysis Tool Based on Machine Learning to Support the Rehabilitation Strategy of Post-stroke Patients., , and . HEALTHINF, page 400-407. SCITEPRESS, (2023)ST-Segment Anomalies Detection from Compressed Sensing Based ECG Data by Means of Machine Learning., , , , , , , , and . BIOSTEC (Selected Papers), volume 1814 of Communications in Computer and Information Science, page 237-255. Springer, (2022)Combining Rhythmic and Morphological ECG Features for Automatic Detection of Atrial Fibrillation., , , , , , , and . HEALTHINF, page 156-165. SCITEPRESS, (2020)Combining Rhythmic and Morphological ECG Features for Automatic Detection of Atrial Fibrillation: Local and Global Prediction Models., , , , , , and . BIOSTEC (Selected Papers), volume 1400 of Communications in Computer and Information Science, page 425-441. Springer, (2020)Predicting Bugs by Monitoring Developers During Task Execution., , , , and . ICSE, page 1-13. IEEE, (2023)Identification of R-peak occurrences in compressed ECG signals., , , , , , and . MeMeA, page 1-6. IEEE, (2020)An undershirt for monitoring of multi-lead ECG and respiration wave signals., , , , , , , and . MetroInd4.0&IoT, page 550-555. IEEE, (2021)A Multi-Class Approach for the Automatic Detection of Congestive Heart Failure in Windowed ECG., , , , , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 650-654. IOS Press, (2021)Simulating the Doctor's Behaviour: A Preliminary Study on the Identification of Atrial Fibrillation through Combined Analysis of Heart Rate and Beat Morphology., , , , , , , , , and 3 other author(s). HEALTHINF, page 446-453. SCITEPRESS, (2022)A Robust Approach for a Real-time Accurate Screening of ST Segment Anomalies., , , , , and . HEALTHINF, page 69-80. SCITEPRESS, (2022)