Open Heart

Severe aortic stenosis detection using seismocardiography

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...
Frontiers

Physics-inspired time-frequency feature extraction and lightweight neural network for power quality disturbance classification

1 Chongqing University-University of Cincinnati Joint Co-op Institute, Chongqing University, Chongqing, China 2 College of Computer Science, Sichuan University, Chengdu, Sichuan, China This study ...
IEEE

Low-Power Feature Extraction for BCI Applications Using Approximate Continuous Wavelet Transform

Abstract: The wavelet transform is commonly used as a feature extraction method for brain signal decoding, but extracting this type of feature has a high energy cost as the wavelet transform relies on ...
Scientific Research Publishing

Bennet, J., Arul Ganaprakasam, C. and Arputharaj, K. (2014) A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis. The ...

ABSTRACT: This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis.
IEEE

Feature Extraction Using Radon, Wavelet and Fourier Transform

Abstract: In this paper, we propose a novel descriptor for invariant pattern recognition by using the Radon transform, the wavelet transform, and the Fourier transform. The Radon transform can capture ...