Medical Device Data Transmission Root Function Compression
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Solution Overview
Problem
Current methods for transmitting measurement data in medical devices, such as CT systems, face challenges with noise-induced clipping of negative values and the need for additional time-consuming transformations between logarithmic and linear data formats, which affects signal quality and processing efficiency.
Innovation Solution
A method using a root function for transforming input data between a minimum and maximum value, allowing for efficient data compression and transmission, and subsequent back transformation to maintain data integrity and reduce noise impact, implemented in both the transmitter and receiver systems of medical devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If logarithmic transformation is used to compress data for transmission, then data volume is reduced and transmission efficiency is improved, but noise-induced clipping of negative values occurs and signal quality deteriorates
Solution Approach 1:
The data range is segmented into positive and negative value regions. The transformation function is applied differently to each segment: logarithmic transformation for positive values and a specialized function for negative values that prevents clipping. This segmentation allows efficient compression while preserving signal integrity in both regions.
Solution Approach 2:
Different transformation characteristics are applied to different parts of the data range. Instead of using a uniform logarithmic transformation, the patent applies a tailored transformation function that adapts to the local characteristics of the data, particularly protecting the negative value region from clipping while maintaining compression efficiency in the positive region.
2Productivity
If logarithmic transformation is used to compress data, then transmission bandwidth is reduced, but additional time-consuming back-transformation is required
Solution Approach 1:
The transformation function is designed to be computationally efficient from the outset, using approximations and simplified calculation paths that reduce the time required for both forward transformation during transmission and back-transformation at the receiving end. This preliminary optimization of the transformation algorithm minimizes the time penalty.
3Productivity
If additional compression algorithms are used at high data speeds, then transmission capacity is increased, but device complexity increases
Solution Approach 1:
The patent changes the parameters of the transformation function based on the data characteristics and transmission requirements. By adjusting parameters such as the transformation exponent and scaling factors, the system achieves efficient compression at high data speeds without requiring multiple different compression algorithms, thus maintaining relatively simple device architecture.
Data Source
AI summary
A method is disclosed for transmitting measurement data from a transmitter system to a receiver system by way of a transmission link of a medical device. In an embodiment, the measurement data, as input data of a transformation method, is transformed to output values and, after transmission, back transformed again, the values of the input data lying between a maximum value and a minimum value and an assignment function being used for compression purposes, to allocate an output value to every value of the input data, a root function being used as the assignment function for at least some of the values.