FR1.PA1.5
Spectral Selective Canonical Correlation Analysis to Remove the Power Line Interference from HD-sEMG Signals
chawki nasrallah, kawtar ghiatt, Universite de technologie de Compiegne, France; ahmad diab, Lebanese International University, Lebanon; Jeremy Laforet, Sidi Mohamed Sid'El moctar, imad rida, Universite de technologie de Compiegne, France; kiyoka kinugawa, Sorbonne Université, France; sofiane boudaoud, Universite de technologie de Compiegne, France
Session:
FR1.PA1: Biomedical Signal Processing 3 Poster
Track:
BISA - Biomedical Image & Signal Analytics
Location:
Poster Area 1
Presentation Time:
Fri, 30 Aug, 10:30 - 12:30 France Time (UTC +1)
Session Co-Chairs:
Adrian Basarab, Université Claude Bernard 1 and Duong Hung PHAM, IRIT Laboratory
Presentation
Discussion
Resources
No resources available.
Session FR1.PA1
FR1.PA1.1: IMPROVING THE GENERATION OF VIRAL CONSENSUS SEQUENCES USING ADAPTIVE MODELS
Maria J. P. Sousa, Armando J. Pinho, University of Aveiro, Portugal; Diogo Pratas, 1) University of Aveiro; 2) University of Helsinki., Portugal
FR1.PA1.2: EVALUATION OF A MULTI-SENSOR APPROACH FOR DROWSINESS MONITORING
Vincent Beauchamps, Institut de recherche biomedicale des armées, France; Bastien Berthelot, Vincent Ibanez, Thales AVS France, France; Fabien Sauvet, Institut de recherche biomedicale des armées, France
FR1.PA1.3: IDENTIFICATION OF PELVIC FLOOR MUSCLE CONTRACTION FROM NON-INVASIVE SENSORS
Ines Moudjari, Université de Rennes, France; Caroline Pautard, Clément Jouanneau, Blueback, France; Régine Le Bouquin Jeannès, Université de Rennes, France
FR1.PA1.4: Structured Loss for Deep Change-Point Detection
Simon Blotas, Charles Truong, ENS Paris-Saclay, France
FR1.PA1.5: Spectral Selective Canonical Correlation Analysis to Remove the Power Line Interference from HD-sEMG Signals
chawki nasrallah, kawtar ghiatt, Universite de technologie de Compiegne, France; ahmad diab, Lebanese International University, Lebanon; Jeremy Laforet, Sidi Mohamed Sid'El moctar, imad rida, Universite de technologie de Compiegne, France; kiyoka kinugawa, Sorbonne Université, France; sofiane boudaoud, Universite de technologie de Compiegne, France
FR1.PA1.6: Machine learning techniques applied to in-silico pulse wave velocity estimation based on photoplethysmographic signals
Vivien Debuchy, Université de Toulon, Aix Marseille Univ, France; Mohamed Khalifa, Tecmoled, France; Philippe Tresson, Aix Marseille Univ, APHM, France; Nadège Thirion-Moreau, Eric Moreau, Université de Toulon, Aix Marseille Univ, France
FR1.PA1.7: POST-EXERCISE RECOVERY SCORE USING COMPUTATIONAL CARDIAC MODEL
Sakyajit Bhattacharya, Dibyendu Roy, Oishee Mazumder, TCS Research, Tata Consultancy Services, India; Ayan Mukherjee, Nasimuddin Ahmed, Tata Consultancy Services Ltd, India; Kayapanda Muthana Mandana, Fortis Hospital, India; Avik Ghose, Aniruddha Sinha, TCS Research, Tata Consultancy Services, India
FR1.PA1.8: Model-Based Assessment of Photoplethysmogram Signal Quality in Real-Life Environments
Yan-Wei Su, National Yang Ming Chiao Tung University, Taiwan; Chia-Cheng Hao, National Taiwan University, Taiwan; Gi-Ren Liu, National Chen Kung University, Taiwan; Yuan-Chung Sheu, National Yang Ming Chiao Tung University, Taiwan; Hau-Tieng Wu, Courant Institute of Mathematical Sciences, United States
FR1.PA1.9: EVALUATION OF FRACTIONAL CALCULUS AND DELTA PARAMETERS IN PRODROMAL DIAGNOSIS OF DEMENTIA WITH LEWY BODIES UTILIZING ONLINE HANDWRITING
Jan Mucha, Michal Gavenciak, Jiri Mekyska, Brno University of Technology, Czech Republic; Marcos Faundez-Zanuy, Universitat Pompeu Fabra, Spain; Lubos Brabenec, Irena Rektorova, Masaryk University, CEITEC, Czech Republic
FR1.PA1.10: Electrogram Fractionation Metrics in Spatio-Temporal Dispersion Based Catheter Ablation of Persistent Atrial Fibrillation
sara frusone, University, France; Rafael Costa De Almeida, Espirito Santo, Brazil; Fabien Squara, CHU Nice, France; Vicente Zarzoso, I3S, France
FR1.PA1.11: INVESTIGATING THE EFFECT OF INTRA-SUBJECT VARIABILITY IN SEISMOCARDIOGRAM ANALYSIS
Eda Demirsoy, Bogazici University, Turkey; Beren Semiz, Koc University, Turkey
FR1.PA1.12: DLGC: DICTIONARY LEARNING BASED GRANGER CAUSAL DISCOVERY FOR CORTICO-MUSCULAR COUPLING
Farwa Abbas, Imperial College London, United Kingdom; Verity McClelland, Zoran Cvetkovic, King's College London, United Kingdom; Wei Dai, Imperial College London, United Kingdom