On Wavelet Based Enhancing Possibilities of Fuzzy Classification Methods

Lilik, Ferenc; Solecki, Levente; Sziová, Brigita; Kóczy, László T.; Nagy, Szilvia Anett

doi:10.1007/978-3-030-18058-4_5

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…Their detection study of the mentioned methods utilizing machine learning displayed promising yields and showed a 92.04% sensitivity level. In terms of their algorithm for Atrial Fibrillation detection, they utilized statistic, morphology, and spectral features, along with wavelet entropy, which consequently proved itself to be specific by 93%, accurate by 94.1%, and sensitive by 96% [22,23].…”

Section: Electrocardiogramsmentioning

confidence: 99%

Development of a Real-Time ECG Signal Transmission Monitoring Algorithm

Don¹

2020

IJETER

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This research will focus on the creation of a simulated real-time ECG signal transmission Algorithm. A MATLAB program would be created to implement the algorithm and monitor the heart rate of the patient. The study focuses on the implementation of Electrocardiograms (ECG) through simulation and would receive the data through a transmitter to a receiver in real-time. The researchers tackled this topic because of its timeliness in present time society wherein most people neglect their physical health. The researchers will solve this problem through a simulation of an ECG signal using the Matrix Laboratory (MATLAB) software. The system will utilize an ECG sampled signal that was converted digitally so that it could be manipulated by MATLAB. An FSK line encoder will be used, and an additive white Gaussian noise will be applied to simulate real-life noise. The expected results will show that the simulation that will be carried out will create an accurate result with a good signal resolution. This study will prove that the MATLAB software is capable of transmitting and receiving ECG signals.

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Section: Electrocardiogramsmentioning

confidence: 99%