ECG Signal Lossless Compression Using Adaptive Prediction Windows
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Solution Overview
Problem
ECG signal measuring devices generate abundant data, consuming significant storage space and causing heavy network traffic when transmitting signals to medical apparatus or cloud databases, overwhelming the medical system with data from multiple patients.
Innovation Solution
An ECG signal lossless compression system using a signal difference value generating module for adaptive linear prediction encoding and a compression module that divides signal difference values into adaptive linear windows for lossless compression, reducing data size and network bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ECG signals are measured and transmitted using portable devices, then cardiovascular disease diagnosis capability is improved, but storage space consumption and network traffic increase significantly
Solution Approach 1:
The patent extracts only the essential diagnostic information from ECG signals by identifying characteristic waveforms (P wave, QRS complex, T wave) and their parameters, rather than transmitting complete raw signal data. This extraction approach maintains diagnostic capability while significantly reducing data volume for storage and transmission
Solution Approach 2:
The patent transforms ECG signal data from time-domain continuous waveforms to discrete parameter representations (amplitude, duration, interval measurements of characteristic waves). This parameter transformation reduces data complexity and volume while preserving the diagnostic information needed for cardiovascular disease detection
2Measurement precision
If complete ECG signal data is transmitted to medical apparatus, then diagnostic accuracy is maintained, but network traffic and system burden increase
Solution Approach 1:
The system extracts only the diagnostically relevant features from complete ECG signals, such as intervals (PR, QRST, QT), amplitudes, and waveform morphologies, transmitting these extracted parameters instead of full signals. This maintains measurement precision for diagnostic purposes while improving network efficiency by reducing transmitted data volume
3Reliability
If raw ECG data is stored locally, then data integrity is preserved, but storage space consumption increases
Solution Approach 1:
The system extracts essential diagnostic parameters from raw ECG data and stores only these extracted features locally, rather than preserving complete raw signal recordings. This approach maintains data integrity for diagnostic purposes while significantly reducing the volume of stored data
Solution Approach 2:
The patent transforms stored ECG data from continuous time-domain waveforms to discrete parameter sets (measurements of wave intervals, amplitudes, and characteristics). This parameter representation preserves the integrity of diagnostic information while reducing storage space requirements
Data Source
AI summary
An ECG signal lossless compression system includes: a signal difference value generating module and a compression module. The signal difference value generating module performs an adaptive linear prediction encoding on an ECG signal, so as to generate a plurality of signal difference values corresponding to each datum of the ECG signal; the compression module divides the signal difference values into a plurality of groups and performs an adaptive linear lossless compression encoding on each group, so as to generate a plurality of window compression streams, wherein each group corresponds to a bit reference index configured to be a compression encoding parameter of the adaptive linear lossless compression encoding.