Electrocardiogram Comparison as a Biometric Identifier: A Review
A Kadi, A Oubelaid, SK Towfek - Full Length Article, 2023 - americaspg.com
The electrocardiogram (ECG) is a type of biometric data that has recently attracted a lot of
attention as a potentially useful biometric trait due to its high discriminatory power. However …
attention as a potentially useful biometric trait due to its high discriminatory power. However …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
Lossy image compression with compressive autoencoders
We propose a new approach to the problem of optimizing autoencoders for lossy image
compression. New media formats, changing hardware technology, as well as diverse …
compression. New media formats, changing hardware technology, as well as diverse …
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
Many of the existing machine learning algorithms, both supervised and unsupervised,
depend on the quality of the input characteristics to generate a good model. The amount of …
depend on the quality of the input characteristics to generate a good model. The amount of …
An efficient compression of ECG signals using deep convolutional autoencoders
Background and objective Advances in information technology have facilitated the retrieval
and processing of biomedical data. Especially with wearable technologies and mobile …
and processing of biomedical data. Especially with wearable technologies and mobile …
Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types
Abnormality of the cardiac conduction system can induce arrhythmia―abnormal heart
rhythm―that can frequently lead to other cardiac diseases and complications, and are …
rhythm―that can frequently lead to other cardiac diseases and complications, and are …
High-ratio lossy compression: Exploring the autoencoder to compress scientific data
Scientific simulations on high-performance computing (HPC) systems can generate large
amounts of floating-point data per run. To mitigate the data storage bottleneck and lower the …
amounts of floating-point data per run. To mitigate the data storage bottleneck and lower the …
Physics-informed deep learning for signal compression and reconstruction of big data in industrial condition monitoring
The onset of the Internet of Things enables machines to be outfitted with always-on sensors
that can provide health information to cloud-based monitoring systems for prognostics and …
that can provide health information to cloud-based monitoring systems for prognostics and …
A novel dimensionality reduction approach for ECG signal via convolutional denoising autoencoder with LSTM
E Dasan, I Panneerselvam - Biomedical Signal Processing and Control, 2021 - Elsevier
Typical IoT based e-health scenarios use resource constrained wearable device to facilitate
ubiquitous long-term monitoring for chronic conditions like cardiovascular disease (CVD) …
ubiquitous long-term monitoring for chronic conditions like cardiovascular disease (CVD) …
A deep learning technique for biometric authentication using ECG beat template matching
An electrocardiogram (ECG) is a unique representation of a person's identity, similar to
fingerprints, and its rhythm and shape are completely different from person to person …
fingerprints, and its rhythm and shape are completely different from person to person …