From Motion Artifacts to Clinical Insight: Multi-Modal Deep Learning for Robust Arrhythmia Screening in Ambulatory ECG Monitoring.

All pairwise comparisons yielded highly significant results ( p < 0.001 ), confirming that accelerometer fusion provides statistically significant performance improvements over ECG-only classification at every noise level tested.

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