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Motion Artifact Resilient Cuff-Less Blood Pressure Monitoring Using a Fusion of Multi-Dimensional Seismocardiograms., , , , and . EMBC, page 6871-6875. IEEE, (2021)Star-ECG: Visualization of Electrocardiograms for Arrhythmia and Heart Rate Variability., , , , , , and . EMBC, page 2815-2821. IEEE, (2021)Exploring Seismocardiogram Biometrics with Wavelet Transform., , and . ICPR, page 4450-4457. IEEE, (2020)Arrhythmia Classification using Deep Learning and Machine Learning with Features Extracted from Waveform-based Signal Processing., and . EMBC, page 292-295. IEEE, (2020)Multi-label Arrhythmia Classification From 12-Lead Electrocardiograms., , , and . CinC, page 1-4. IEEE, (2020)Motion Artifact Resilient SCG-based Biometric Authentication Using Machine Learning., , , and . EMBC, page 144-147. IEEE, (2021)Fold Electrocardiogram Into a Fingerprint., , and . CVPR Workshops, page 3612-3619. Computer Vision Foundation / IEEE, (2020)Cuff-Less Blood Pressure Monitoring with a 3-Axis Accelerometer., , , , , , , , , and . EMBC, page 6834-6837. IEEE, (2019)Computational Methodologies for Cardiac Signal Applications: Arrhythmia Classification, Biometric Identification, and Blood Pressure Estimation.. University of California, San Diego, USA, (2021)Adaptive sensitivity analysis with nonlinear power load modeling., , , and . SLIP@DAC, page 5:1-5:6. ACM, (2018)