Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

View Full Paper

Ask AI

Bookmark

Structured PICO

Intervention

1-D Convolutional Neural Networks for real-time patient-specific ECG classification

A proposed 1-D Convolutional Neural Network for real-time patient-specific ECG classification is highly generic and applicable to any ECG dataset.

Broadens 1-D CNN testing across ECG datasets; leaves open clinical validation before any practice change.

Due to its simple and parameter invariant nature, the proposed system is highly generic, and, thus, applicable to any ECG dataset.

No takes yet. Share an insight, caveat, or question.

Kıranyaz et al. (2015) studied this question.

View Full Paper

Ask AI

Bookmark

Broadens 1-D CNN testing across ECG datasets; leaves open clinical validation before any practice change.

Due to its simple and parameter invariant nature, the proposed system is highly generic, and, thus, applicable to any ECG dataset.