Frontiers

Unraveling cardiac arrhythmia frequency: comparative analysis using time and frequency domain algorithms

During cardiac arrhythmia, the heart frequency is an important physiological parameter that can be identified by analyzing electrocardiogram (ECG) signals. However, the accuracy of the frequency ...
IEEE

Multi-Wavelength Photoplethysmography with Combined Entropy, Time, and Frequency Domain Analysis for Noninvasive Blood Glucose Monitoring

Conventional finger-pricking remains the standard for blood glucose monitoring but causes discomfort with repeated use. To address this, noninvasive methods such as near-infrared spectroscopy, ...
EurekAlert!

Process monitoring of P-GMAW-based wire arc direct energy deposition of stainless steels via time-frequency domain analysis and Isolation Forest

AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...
IEEE

Coordination of Time-Frequency Domain Analysis and Current Modulation Algorithm for Series Arc Fault Detection and Extinguishing

Abstract: Power generation using a photovoltaic (PV) system is increasing to achieve the carbon neutrality. Module-level power electronics (MLPEs) can optimize power generation for each PV panel.
Live Science

Physicists create groundbreaking atomic clock that's off by less than 1 second every 100 million years

The National Institute of Standards and Technology's new cesium fountain clock is one of the most precise atomic clocks ever created. When you purchase through links on our site, we may earn an ...
Frontiers

A multi-modal deep learning approach for stress detection using physiological signals: integrating time and frequency domain features

Objective: This study aims to develop a multimodal deep learning-based stress detection method (MMFD-SD) using intermittently collected physiological signals from wearable devices, including ...