Results 21 to 30 of about 98,464 (271)

Differences between normal and arrhythmic electrocardiograms using frequency analysis [PDF]

Revista Ciencias de la Salud, 2004
We report an advance of a research project basedon the hypothesis that electrocardiograms (ECG)are easier to interpret in the frequency domain than in the time domain. This paper is aimed tomedical personnel.
Raúl Narváez-Sánchez, Andrés Jaramillo Velásquez   +1 more
doaj  

ECG Signal Classification of Cardiovascular Disorder using CWT and DCNN [PDF]

Journal of Biomedical Physics and Engineering
Background: Cardiovascular Diseases (CVD) requires precise and efficient diagnostic tools. The manual analysis of Electrocardiograms (ECGs) is labor-intensive, necessitating the development of automated methods to enhance diagnostic accuracy and ...
Tawfikur Rahman, Rasel Ahommed, Nibedita Deb, Utpal Kanti Das, Md. Moniruzzaman, Md. Alamgir Bhuiyan, Farzana Sultana, Md. Kamruzzaman Kausar   +7 more
doaj   +1 more source

An Experimental Approach on Beating in Vibration Due to Rotational Unbalance

Applied Sciences, 2020
This paper proposes a study in theoretical and experimental terms focused on the vibration beating phenomenon produced in particular circumstances: the addition of vibrations generated by two rotating unbalanced shafts placed inside a lathe headstock ...
Dragos-Florin Chitariu, Florin Negoescu, Mihaita Horodinca, Catalin-Gabriel Dumitras, Gures Dogan, Mehmet Ilhan   +5 more
doaj   +1 more source

A Fast Approximation of the Bilateral Filter using a Signal Processing Approach [PDF]

, 2006
The bilateral filter is a nonlinear filter that smoothes a signal while preserving strong edges. It has demonstrated great effectiveness for a variety of problems in computer vision and computer graphics, and fast versions have been proposed ...
Frédo Durand, Paris, Sylvain, Durand, Fredo, Sylvain Paris   +3 more
core   +1 more source

A Real-Time Speech Separation Method Based on Camera and Microphone Array Sensors Fusion Approach

Sensors, 2020
In the context of assisted human, identifying and enhancing non-stationary speech targets speech in various noise environments, such as a cocktail party, is an important issue for real-time speech separation.
Ching-Feng Liu, Wei-Siang Ciou, Peng-Ting Chen, Yi-Chun Du   +3 more
doaj   +1 more source

Signal Processing Methods for Genomic Sequence Analysis [PDF]

, 2007
Signal processing is the art of representing, transforming, analyzing, and manipulating signals. It deals with a wide range of signals, from speech and audio signals to images and video signals, and many others.
Yoon, Byung-Jun
core   +1 more source

A Computer-Based Method to Determine Predictive Potential of Distance-Spectral Descriptors for Measuring the π-Electronic Energy of Benzenoid Hydrocarbons With Applications

IEEE Access, 2021
Graph signal processing deals with signals whose domain, defined by a graph, is irregular. The total π-electron energy or simply the π-electronic energy, as calculated within the Hückel tight-binding molecular orbital approximation,
S. Hayat, S. Khan, A. Khan, M. Imran
doaj   +1 more source

Teaching Digital Signal Processing with a Challenge on Image Forensics [PDF]

, 2019
With the advent of ubiquitous sensing and real-time data processing, the demand for engineers with solid signal processing skills has exceeded the supply by a large margin.
Bohme, R., Pasquini, C., Boato, G.
core   +1 more source

Analysis on the risk of myasthenia gravis related to immune checkpoint inhibitors based on the US FDA Adverse Event Reporting System

Cancer Medicine, 2023
Objective To evaluate the risk of myasthenia gravis (MG) associated with immune checkpoint inhibitors (ICI). Methods Adverse event (AE) reports related to MG, myasthenic syndrome, and MG crisis for durvalumab, atezolizumab, pembrolizumab, nivolumab ...
Qingli Kong, Hui Wang, Xiaolei Ren, Yue Zhuo, Jing Peng   +4 more
doaj   +1 more source

An Improved PixelHop Framework and its Application in Rolling Bearing Fault Diagnosis

IEEE Access, 2021
The PixelHop framework based on successive subspace learning (SSL) has been widely used in signal processing and computer vision, which can effectively improve the classification accuracy in high spatial resolution scenes through successive subspace ...
Lanjun Wan, Zheng Zhou, Kun Gong, Gen Zhang, Yuanyuan Li, Changyun Li   +5 more
doaj   +1 more source