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Encoding Sensors' Data into Images to Improve the Activity Recognition in Post Stroke Rehabilitation Assessment., , , , and . ICPRAI (2), volume 13364 of Lecture Notes in Computer Science, page 114-123. Springer, (2022)A Kalman Filter based Approach for Markerless Pose Tracking and Assessment., , , , and . ICAC, page 1-7. IEEE, (2022)Secure compressive sensing for ECG monitoring., , , and . Comput. Secur., (2020)An IoT-Based Framework for Elderly Remote Monitoring., , , , , , , and . DSD, page 442-448. IEEE, (2019)Real-time ECG monitoring using compressive sensing on a heterogeneous multicore edge-device., , , , , , , , and . Microprocess. Microsystems, (2020)Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review., , , , and . Biomed. Signal Process. Control., 71 (Part): 103197 (2022)A novel gateway-based solution for remote elderly monitoring., , , and . J. Biomed. Informatics, (2020)A comprehensive evaluation of state-of-the-art time-series deep learning models for activity-recognition in post-stroke rehabilitation assessment., , , , and . EMBC, page 2242-2247. IEEE, (2021)A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)., , , , and . NG-RES@HiPEAC, volume 117 of OASIcs, page 2:1-2:10. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2024)IoT-Based Fall and ECG Monitoring System: Wireless Communication System Based Firebase Realtime Database., , , , , , , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 1480-1485. IEEE, (2019)