Lossless real-time signal encoding for two-channel signals: A case study on ECG
Abstract
This paper introduces a new encoding algorithm for the lossless, fast, and memory-efficient compression of two-channel signals. The proposed algorithm was evaluated using Electrocardiogram (ECG) signals. The results indicate that it can effectively compress ECG signals with a favorable compression ratio (CR), without relying on complex predictors, dictionaries, detectors, or additional encoding methods. By employing this method, an average CR of 1.98 was achieved, with a minimum CR of 1.54 and a maximum CR of 2.36. Moreover, it is assumed that the algorithm has the potential to enhance the achieved compression in Compressed Sensing (CS) systems.
Event details
- Event
- TC4 Symposium 2023
- Technical Committee
- TC4
- imeko_TC4_2023@senis.swiss
- Place
- Pordenone, ITALY
- Time
- 20 September 2023 - 21 September 2023
- Website
- https://conferences.imeko.org/event/3/