Patient Data Compression via Template Differencing
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Solution Overview
Problem
Conventional medical devices generate large volumes of data that require substantial computing resources for transmission and storage, leading to delays in data review, especially in situations requiring real-time transmission over limited bandwidth channels, which can result in increased risks of patient disability and mortality.
Innovation Solution
Implementing systems and methods that compress patient data using templates and differencing techniques to reduce bandwidth requirements, allowing for efficient transmission and storage, and selectively transmitting low-resolution data with guidance for high-resolution data retrieval as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If uncompressed patient data is transmitted over limited bandwidth communication channels, then data transmission completeness is maintained, but transmission time increases substantially causing delays in medical intervention
Solution Approach 1:
The patent extracts and transmits only the most critical patient data elements first, separating essential information from supplementary data. This allows the system to transmit minimal necessary information quickly while maintaining the ability to send additional data later, thus reducing transmission time without complete loss of information value.
Solution Approach 2:
The patent segments patient data into priority levels and transmits them in sequences. Critical data is transmitted immediately, while non-critical data follows in subsequent transmissions. This segmentation resolves the contradiction by ensuring time-sensitive decisions can be made with available data while preserving option to receive complete information later.
2Measurement precision
If high resolution patient data is transmitted continuously, then data quality is maintained, but bandwidth consumption increases substantially
Solution Approach 1:
The patent applies local quality by transmitting high-resolution data only for specific critical parameters or time periods when needed, while using lower resolution for other parameters. This allows the system to maintain measurement precision for essential data while reducing overall data volume transmitted over the communication channel.
3Reliability
If full patient data is transmitted without compression, then data accuracy is preserved, but transmission costs and resource consumption increase
Solution Approach 1:
The patent changes data parameters by applying compression algorithms that reduce data size while preserving critical information integrity. The system adjusts compression levels based on data type and clinical importance, maintaining accuracy for essential parameters while reducing overall data volume to lower transmission energy requirements and costs.
Data Source
AI summary
A system including a medical device is provided. The medical device includes at least one sensor configured to acquire first data descriptive of a patient, first memory storing a plurality of templates, and at least one processor coupled to the at least one sensor and the first memory. The at least one processor is configured to identify a first template of the plurality of templates that is similar to the first data, to determine first difference data based on the first template and the first data, and to store the first difference data in association with the first template. The system may further include the programmable device.