Application of the Max-Lloyd quantizer for ECG compression in diving mammals

Area of Science:

• Biomedical Engineering
• Signal Processing
• Data Compression

Background:

• Low-resource ECG acquisition and transmission systems require efficient data compression.
• Telemetry systems for marine mammals and divers face unique environmental and resource constraints.

Purpose of the Study:

• To practically implement an ECG compression algorithm optimized for resource-limited telemetry systems.
• To improve the efficiency and accuracy of ECG data transmission for dolphins and human divers.

Main Methods:

• Utilized a first-order differential pulse code modulation (DPCM) algorithm.
• Employed a Max-Lloyd quantizer for coding differences between predicted and current ECG samples.
• Compared non-uniform quantization with uniform quantization to assess signal distortion.

Main Results:

• The Max-Lloyd quantizer improved the percent root mean-square difference (PRD), indicating lower signal distortion.
• The algorithm demonstrated low computational complexity, enabling on-line compression.
• Achieved efficient ECG compression suitable for telemetry applications.

Conclusions:

• The implemented ECG compression algorithm effectively reduces data while maintaining signal integrity.
• This approach is suitable for optimizing resource-constrained ECG telemetry systems in challenging environments.
• The use of Max-Lloyd quantization offers a significant advantage over uniform quantization for ECG data.