Developed Permanent Magnet Synchronous Motor Control using Numerical Algorithm and Backstepping

Ziani, Said; Ghmary, Mohamed El; Youssef, Chaou; Daoudia, Abdelkarim; Hafid, Ben Achour; Youssef, El Hassouani

doi:10.25103/jestr.161.04

Cited by 4 publications

(1 citation statement)

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“…The results of this paper can be optimized by incorporating the learning methods and wavelet theory as reported in the references [10,11,12,13]. It is also noted that regularization methods can be effectively applied in the fields of control and energy, as indicated in the references [14,15,16,17,18].…”

Section: Ecg Recordingmentioning

confidence: 89%

Integration of Time-Frequency Analysis and Regularization Technique for Improved Identification of Fetal Electrocardiogram

Ziani,

El Ghmary,

Achmad Rizal

2023

Int. J. Onl. Eng.

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This research article presents a novel methodology for effectively extracting the fetal electrocardiogram (FECG) from a single-channel signal acquired on the maternal abdomen. The signal comprises a mixture of the FECG, maternal electrocardiogram (MECG), and ambient noise. The central concept involves projecting the signal into higher-dimensional spaces and leveraging the assumption of statistical independence among the constituent components to achieve their separation from the mixture. To accomplish this, singular value decomposition (SVD) is initially applied to the spectrogram, followed by an iterative application of independent component analysis (ICA) on the principal components. The SVD technique contributes to the enhanced separability of each individual component, while ICA facilitates the promotion of statistical independence between the fetal and maternal ECGs. Furthermore, we refine and customize the aforementioned approach specifically for ECG signals by incorporating knowledge of the frequency distribution of the MECG and other inherent ECG characteristics. The effectiveness of the proposed methodology is validated through comprehensive experimental studies, demonstrating its superior accuracy and performance compared to existing techniques.

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