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Sensitivity of acoustic emission signals features to cutting parameters in time domain: case of milling aeronautical aluminium alloys
Acoustic emission (AE) signals are thought to contain crucial information for identifying defects and monitoring processes. It is crucial to have a...
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Heart Murmur Detection in Phonocardiogram Signals Using Support Vector Machines
The heart sound signal is an important physiological signal of the cardiovascular system, which contains crucial information about human heart...
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Few-shot learning based blind parameter estimation for multiple frequency-hop** signals
Estimating the parameters of Frequency-Hop** (FH) signals using deep learning has attracted keen attentions in recent years. However, it is also a...
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Simulation on Application of EMG Signals for DC Motor Control
Electromyography (EMG) signals allow the prediction of neuromuscular activities and are commonly used to control robotic arm or exoskeleton to mimic...
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Electrical Signals from the Muscles and Nerves
In addition to the heart and brain, body organs functioning based on nerves and muscles produce electrical signals that can be recorded from the body...
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Continuous non-invasive estimates of cerebral blood flow using electrocardiography signals: a feasibility study
This paper describes a potential method to detect changes in cerebral blood flow (CBF) using electrocardiography (ECG) signals, measured across scalp...
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Spectral Variation Based Method for Electrocardiographic Signals Compression
In this paper, a compression method for electrocardiographic (ECG) signals is proposed. The proposed method is based on the spectral content...
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An indoor fall detection system based on WiFi signals and genetic algorithm optimized random forest
Human activity recognition technology has received much academic attention in recent years and plays a vital role in a wide range of applications...
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RETRACTED ARTICLE: Application of music in relief of driving fatigue based on EEG signals
In order to solve the problem of traffic accidents caused by fatigue driving, the research of EEG signals is particularly important, which can timely...
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Characteristics and generation mechanisms of key infrared radiation signals during damage evolution in sandstone
Infrared radiation count (IRC) is considered as an indicator for damage evolution of rocks. This new indicator links damage intensity and...
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A Review on Computational Methods for Denoising and Detecting ECG Signals to Detect Cardiovascular Diseases
Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular diseases (CVDs) are the leading cause of death worldwide....
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Fully Adaptive Smart Vector tracking of Weak GPS Signals
Global Navigation Satellite Systems (GNSS) are used in various applications such as map**, automotive, aviation, military and so on. GNSS receivers...
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Feature Extraction for Classification Methods of EEG Signals
This paper discusses a method in the brain-computer interface area. The approach proposed is to use an Electroencephalogram (EEG) and a convolution...
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Temperature Impacts on MMM Signals
When the magnet exceeds a certain temperature, its magnetism will be weakened due to the increase in temperature and the thermal movement of the...
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Terminal Sliding Mode Control for Quadrotors with Chattering Reduction and Disturbances Estimator: Theory and Application
This paper deals with the robust flight control problem of quadrotor while taking various model uncertainties and external disturbances into...
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Conversion of geared DC motor into stepper motor using switching delay time signals
In solar tracking system, general stepper motor is used to control the stepwise movement and low speed of solar panel in vertical motion. Degree of...
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An adaptive model for time-varying speed fault diagnosis under strong noise interference
Due to the impact susceptibility, sudden speed changes, and strong noise interference experienced during operation, existing diagnostic methods are...
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Accurate detection of myocardial infarction using non linear features with ECG signals
Interrupted blood flow to regions of the heart causes damage to heart muscles, resulting in myocardial infarction (MI). MI is a major source of death...
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Time Series Modelling of Non-stationary Vibration Signals for Gearbox Fault Diagnosis
Gearboxes often operate under variable operating conditions, which lead to non-stationary vibration. Vibration signal analysis is a widely used...
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CADNet: cardiac arrhythmia detection and classification using unified principal component analysis and 1D-CNN model
Cardiac arrhythmia is a critical cardiovascular disorder characterized by irregular heartbeats, detectable through electrocardiogram (ECG) signals....
