ECG signal compression and classification algorithm with quad level vector for ECG holter system

An ECG signal processing method with quad level vector (QLV) is proposed for the ECG holter system. The ECG processing consists of the compression flow and the classification flow, and the QLV is proposed for both flows to achieve better performance with low-computation complexity. The compression algorithm is performed by using ECG skeleton and the Huffman coding. Unit block size optimization, adaptive threshold adjustment, and 4-bit-wise Huffman coding methods are applied to reduce the processing cost while maintaining the signal quality. The heartbeat segmentation and the R-peak detection methods are employed for the classification algorithm. The performance is evaluated by using the Massachusetts Institute of Technology-Boston's Beth Israel Hospital Arrhythmia Database, and the noise robust test is also performed for the reliability of the algorithm. Its average compression ratio is 16.9:1 with 0.641% percentage root mean square difference value and the encoding rate is 6.4 kb...

• Type: Journal
• Year: 2010
• Where: TITB
• Authors: Hyejung Kim, Refet Firat Yazicioglu, Patrick Merken, Chris Van Hoof, Hoi-Jun Yoo
• Keywords: ECG Signal Processing, Education, Huffman Coding, Processing Cost, TITB 2010