Data overload in cardiology
How does low quality signal affect ECG analysis and practical tips to reduce it

Maintaining high-quality ECG signals is crucial for accurate diagnosis and monitoring of heart conditions. Factors like electrode placement, patient movement, and external interference can impact signal quality, leading to misinterpretation and false results. Proper electrode placement, patient education, and advanced ECG analysis tools, including AI-powered solutions like Cardiomatics, are essential for improving signal quality and ensuring reliable diagnosis. Advanced technologies such as adaptive digital filters and AI algorithms further enhance signal quality by reducing noise and artifacts.