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Emotion Recognition from EEG Signals: A Survey
Emotions are very crucial in mental healthcare and taking decisions in real-time. Several researchers have worked on non-physiological signals which...
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An Overview of Robust Spectral Estimators
The periodogram function is widely used to estimate the spectral density of time series processes and it is well-known that this function is also...
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EEG Signal Synchronization Patterns During Hand Laterality Judgment Task
Motor imagery is a mental stimulation that triggers oscillatory events in sensorimotor rhythms often used in brain-computer interface applications,...
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Spectrum Analysis on Electricity Consumption Periods by Industry in Fujian Province
Electricity is the basic energy for urban economic development and people's daily life. Exploring periods of electricity consumption has a great...
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FPGA real-time implementation of welch transform for diagnosis of broken rotor bars in induction motors
Detecting Broken Rotor Bars (BBFs) in induction motors is critical for ensuring their reliable operation. While conventional methods, such as Fast...
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Characterization and Adjustment Model of the Cricopharyngeal Muscle Potential from Surface Electromyographic Signals in the Swallowing Process
Parkinson’s disease is a neurodegenerative disorder that can cause denervation in the pharyngeal muscles such as the cricopharyngeus and alterations...
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A Digital Twin Model of Planetary Gearbox with Bearing Fault
Digital twin modeling technology strives to improve the digitization and intelligence of complex equipments and is widely used in intelligent...
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Relationship of the Correlation Between EEG and Heart Rate Variability with Cardiovascular Indicators
The correlation between electroencephalographic (EEG) and electrocardiographic (ECG) signals can provide important information about cardiovascular...
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Power Spectral Density
In the chapter, Power Spectral Density, the problem is the estimation of the PSD of periodic signals buried in noise. The noise signal is of infinite...
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Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams
Modeling biological rhythms helps understand the complex principles behind the physical and psychological abnormalities of human bodies, to plan life...
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EEG Models and Analysis
Continuous recording of neural tissue registers extracellular potentials known as electroencephalogram or EEG. This type of electrical activity...
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Predictive Model-based Analytics to Control Drying Process in a Sugar Industry
Supply of dry air is of important use in industries because the products manufactured need to be moisture-free. The dry air can be generated by...
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Gender Based HRV Changes Occurring in ANS During Graded Head-Up Tilt and Head-Reverse Tilt
The tilt table test was performed on 20 healthy individuals, who voluntarily participated in this study, out of which the data of 19 volunteers has...
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The evaluation of seismocardiogram signal pre-processing using hybridized variational mode decomposition method
This study aims to determine the performance of variational mode decomposition (VMD) combined with detrended fluctuation analysis (DFA) as a hybrid...
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Performance Evaluation of Energy Detection for Cognitive Radio in OFDM System
In this paper, orthogonal frequency division multiplexing-based modulation schemes are used in addition to its advantage in reducing inter-symbol...
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Stochastic Processes
The previous chapters dealt with distributions, statistical measures, and data that can be described as static.
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Performance Improvement of OFDMA Systems Through Wireless Communication Channels
The primary goal of this paper is to assess the performance of an Orthogonal Frequency Division Multiplexing Access (OFDMA) transmission system with...
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Enabling the Next Generation of Space-Based Astrophysics Observations
The next generation of space telescopes will require platforms than can provide pointing stability on the order of 1 - 2 mas/axis1 1 over time...
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Screw Thread Measurement by Camera Inspection System
This article describes measurement of the internal screw thread by the camera system. Especially thread handedness detection is focused. For this...
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EEG-Based Motor Imagery Classification Using Multilayer Perceptron Neural Network
Signals derived from brain activity can be used as commands to control an external device or application in Brain-Computer Interface (BCI) systems....