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Independent Component Analysis
Semantic Cluster2 Research Papers
Studies in this Category
ID: assessing-the-effectiveness-of-various-filtering-techniques-on-seismocardiography-signals-in-individuals-with-valvular-heart-disease2025
Assessing the Effectiveness of Various Filtering Techniques on Seismocardiography Signals in Individuals with Valvular Heart Disease
This study tested different methods to clean heart vibration signals for better diagnosis of valve diseases, finding ICA to be the most effective at reducing noise while keeping the signal intact.
#scg
ID: bcg-artifact-removal-using-improved-independent-component-analysis-approach2017
BCG Artifact Removal Using Improved Independent Component Analysis Approach
This research presents a new method to clean heart vibration signals (BCG) by removing noise caused by movement, using advanced mathematical techniques like ICA and clustering. It improves signal quality for better health monitoring.
#accelerometer#bcg