3 papers
cs.LG2023
Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning
Adrian Atienza, Jakob Bardram, Sadasivan Puthusserypady
By identifying similarities between successive inputs, Self-Supervised Learning (SSL) methods for time series analysis have demonstrated their effectiveness in encoding the inheren…
eess.SP2023
Subject-based Non-contrastive Self-Supervised Learning for ECG Signal Processing
Adrian Atienza, Jakob Bardram, Sadasivan Puthusserypady
Extracting information from the electrocardiography (ECG) signal is an essential step in the design of digital health technologies in cardiology. In recent years, several machine l…
cs.LG2020
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation
Abdolrahman Peimankar, Sadasivan Puthusserypady
Objectives: With the technological advancements in the field of tele-health monitoring, it is now possible to gather huge amounts of electro-physiological signals such as electroca…