A review on outlier/anomaly detection in time series data
Recent advances in technology have brought major breakthroughs in data collection,
enabling a large amount of data to be gathered over time and thus generating time series …
enabling a large amount of data to be gathered over time and thus generating time series …
Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges
SK Saini, R Gupta - Artificial Intelligence Review, 2022 - Springer
Abstract Cardiovascular diseases (CVDs) in India and globally are the major cause of
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
Online anomaly detection for long-term ECG monitoring using wearable devices
Many successful algorithms for analyzing ECG signals leverage data-driven models that are
learned for each specific user. Unfortunately, a few algorithmic challenges are still to be …
learned for each specific user. Unfortunately, a few algorithmic challenges are still to be …
[PDF][PDF] DWLR: domain adaptation under label shift for wearable sensor
Wearable sensors play a crucial role in real-world scenarios, such as human activity
recognition, sleep monitoring and electrocardiogram monitoring. However, deploying …
recognition, sleep monitoring and electrocardiogram monitoring. However, deploying …
[PDF][PDF] Learning and adaptation to detect changes and anomalies in high-dimensional data
D Carrera - Special Topics in Information Technology, 2020 - library.oapen.org
The problem of monitoring a datastream and detecting whether the data generating process
changes from normal to novel and possibly anomalous conditions has relevant applications …
changes from normal to novel and possibly anomalous conditions has relevant applications …
Machine Learning Techniques Used for Diagnosing Cardiac Abnormalities using Electrocardiogram
Atrial fibrillation (AF) damages around 1–2% of the human body and is the most serious
heart arrhythmia in human healthcare. As per the guidelines of World Health Organization …
heart arrhythmia in human healthcare. As per the guidelines of World Health Organization …
[PDF][PDF] ECG Signal Processing Based on Linguistic Chain Fuzzy Sets.
In the article on the stage of intervalization in the construction of a linguistic model of the time
series, it is proposed to apply the description of intervals in the form of fuzzy subsets with a …
series, it is proposed to apply the description of intervals in the form of fuzzy subsets with a …
[CITATION][C] Contributions to time series data mining towards the detection of outliers/anomalies
A Blázquez García - 2022