The weighted diagnostic distortion (WDD) measure for ECG signal compression

By Yaniv Zigel, A. Cohen, A. Katz. IEEE Transactions on Biomedical Engineering, 2000

425 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cardiology and Cardiovascular Medicine

View Paper: https://www.semanticscholar.org/paper/a44f2800827930dbccd7f05db655b020b3aa83e6

How researchers see this paper

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

In Biomedical Engineering

1. Pablo Laguna
2. David Atienza Alonso
3. Pierre Vandergheynst
4. Hossein Mamaghanian
5. Nadia Khaled
6. Michael M. Bronstein

In Cardiology and Cardiovascular Medicine

1. Pablo Laguna
2. David Atienza Alonso
3. Pierre Vandergheynst
4. Hossein Mamaghanian
5. Nadia Khaled

Citations in the corpus

• Principal Component Analysis in ECG Signal Processing (2007, methodology): “Yet another approach to the choice of K may be to employ an “analysis-by-synthesis” algorithm which is designed to ensure that the errors in ECG amplitudes and durations do not become clinically unacceptable [35, 36].”
• Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes (2011, background): “But, as we argue herein, it is also particularly well suited for low-power implementations because it dramatically reduces the need for resource- (both processing and storage) intensive digital signal processing operations.”