ECG Signal Denoising By Wavelet Transform Thresholding

By M. Alfaouri, K. Daqrouq. 2008

441 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/60bd6343f93fecfdea1aff84b7195ed9efeff4e9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

1. Heba M. Ismail
2. Mohamed Adel Serhani
3. Hadeel T. El Kassabi
4. Alramzana Nujum Navaz

In Computer Vision and Pattern Recognition

1. Heba M. Ismail
2. Mohamed Adel Serhani
3. Hadeel T. El Kassabi
4. Alramzana Nujum Navaz

In Control and Systems Engineering

1. Heba M. Ismail
2. Mohamed Adel Serhani
3. Hadeel T. El Kassabi
4. Alramzana Nujum Navaz

Citations in the corpus

• Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets (2021, unknown): “Moreover, wavelet transform (WT) has multiple applications in nonstatic signal processing [61,62] and that made it a very popular tool for ECG processing [63].”
• ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges (2020, methodology): “The Wavelet Transform was also used in [7,60,67,95,96].”