Showing results (41-50 of 58) with videos related to
Sort By:
Pageof 6
Frontiers in Cardiovascular Medicine|July 18, 2022
CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia DatasetDevender Kumar, Sadasivan Puthusserypady, Helena Dominguez, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Automatic Atrial Fibrillation detection: A novel approach using discrete wavelet transform and heart rate variabilityIben H Bruun, Semira M S Hissabu, Erik S Poulsen, et al.Frontiers in Neuroscience|August 19, 2016
Neurofeedback Therapy for Enhancing Visual Attention: State-of-the-Art and ChallengesMehdi Ordikhani-Seyedlar, Mikhail A Lebedev, Helge B D Sorensen, et al.International Journal of Medical Informatics|May 13, 2022
Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approachesMasud Shah Jahan, Marjan Mansourvar, Sadasivan Puthusserypady, et al.Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 7, 2007
Cardiac State Diagnosis using Adaptive Neuro-Fuzzy TechniqueN Kannathal, Sadasivan Puthusserypady, Lim Choo Min, et al.Frontiers in Aging Neuroscience|June 4, 2026
Toward future diagnostics of Parkinson's disease: a perspective on multimodal motor assessment and personalized digital twinsJúlia Rey Vilches, Sadasivan Puthusserypady, Bo Biering-Sørensen, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Machine Learning for Motor Imagery Wrist Dorsiflexion Prediction in Brain-Computer Interface Assisted Stroke RehabilitationCihan Uyanik, M Ahmed Khan, Iris C Brunner, et al.Computer Methods and Programs in Biomedicine|May 31, 2022
Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detectionDevender Kumar, Abdolrahman Peimankar, Kamal Sharma, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Leveraging Self-Supervised Learning Methods for Remote Screening of Subjects with Paroxysmal Atrial FibrillationAdrian Atienza, Gouthamaan Manimaran, Sadasivan Puthusserypady, et al.Scientific Reports|July 10, 2026
A continuous network physiology analysis of brain-heart interactions in epileptic seizuresMatteo Saibene, Martin Ballegaard, Ying Gu, et al.Pageof 6