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Year: 2023, Volume: 23, Number: 2
... two CNN architectures are proposed of automatic prediction from EEG signals. This work to predict ongoing seizures and different ... , Number 2, 2023 Epilepsy Seizure Prediction from EEG Signal Using Machine Learning Techniques Boutkhil SIDAOUI1, Kaddour SADOUNI2 ... advances in seizure C. Pooling Layer detection, signal processing, time or frequency domain analysis, and classification ...
12. A Novel Approach on Converting Eye Blink Signals in EEG to Speech with Cross Correlation Technique
Year: 2023, Volume: 23, Number: 2
... 2, 2023 A Novel Approach on Converting Eye Blink Signals in EEG to Speech with Cross Correlation Technique Nuri ... to detect specific facial expressions, such communication, biomedical signal processing, electroencephalography, cross correlation. as blinks ... experimental studies were manually examined, it similarity between the signal's decreases. However, when was found that the ...
Year: 2015, Volume: 15, Number: 3
... Number 3, 2015 Classification of Parameters Extracted from Cardiotocographic Signals for Early Detection of Metabolic Acidemia in Newborns Cristian ... monitoring is one of the most of the recordings without signal loss for better classification. used methods that help ... delivery means, as components is a useful tool in bio-signal processing field. well as the fetal and neonatal ...
Year: 2022, Volume: 22, Number: 1
... D0, we employed the commonly used DIFFERENT D0 measure Signal to Noise Ratio (SNR), which measures ... been utilized for the classification [36- A blind signal-to-noise ratio (SNR) estimator was developed 37] ... compute SNR: 260 0.2985 0.2791 280 0.3526 0.2145  PSignals  SNR  10 log10   (5 ...
Year: 2012, Volume: 12, Number: 4
... /or ideogram (selected by using an differential EOG signals. To safely detect voluntary blinking adequate switch or ... caretaker (using the level of the low frequency EOG signal. The prototype of the different wireless techniques) ... /or e-mail. seeing, understanding, but without signalizing; The suggestions received from the patients during the ...
Year: 2019, Volume: 19, Number: 2
... use. These characteristics has been widely used to synthetic signals. The problems that Short Time Fourier diagnose failures ... , Oscar DUQUE-PEREZ3, David CAMARENA-MARTINEZ1* 1 CA Digital Signal Processing, Engineering Divison, Campus Irapuato-Salamanca, University ... failure to 60 Hz. Additionally, a 0.3 dB Signal-to-Noise ratio level from 0 to 60 Hz for 50 ...
Year: 2014, Volume: 14, Number: 3
... between zero and in real world scenarios while using multiple signals nine. The amount of time allowed for each ... sweat glands influence the skin conductivity according to conductance response signal power, skin conductance response signal frequency, skin ... by washing the area where (2) is the signal's mean value and (3) is the signal's ...
Year: 2023, Volume: 23, Number: 4
... undertaken using LabVIEW and computerization. Today, very complex signals can be experimentation is performed employing the SDRs. ... — This research aims to introduce an innovative complications in signal generation. In this context, method of constellation ... of the to construct a constellation diagram, which visually signal-to-noise ratio (SNR) in the transmitted data eye ...
Year: 2011, Volume: 11, Number: 3
... that contain 'r' as the first letter and used signals SOM with those obtained by using the k-NN algorithm ... more into the time paper. domain representation of the signal. We then noticed the Studying the shape of ... , the clearest difference between these two classes is the signal's envelope. Extracting the signal's envelope in a software ...
Year: 2013, Volume: 13, Number: 2
... sixth section concludes the paper. frequency of frequency modulated signals. Some properties of the proposed analog frequency tracking ... analog integrated Let x(t) be the observed signal: circuits, is also proposed. The performance ... example for a frequency tracking filter. maximizes its output signal-to-noise ratio. Therefore, the frequency tracking filter represents ...
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