Implantable Medical Device Lossy Compression for Biological Data Storage
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing implantable medical devices face challenges in efficiently processing and storing biological data signals due to the trade-off between memory constraints and the need to store clinically relevant data, as conventional lossless compression techniques require significant computational resources and are impractical for implantable devices.
Innovation Solution
An implantable medical device that uses lossy compression by distinguishing clinically relevant (CR) and non-clinically relevant (NCR) segments of biological signals through an amplitude window, saving CR segments and deleting NCR segments, and storing time information about the deleted segments to form a lossy compressed data set.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lossless compression techniques are used to manage data storage on implantable medical devices, then data integrity is preserved, but computational resources and processing time are excessively consumed
Solution Approach 1:
The patent segments biological data into clinically relevant (CR) segments containing features of interest and non-clinically relevant (NCR) segments. By dividing the data stream and applying different storage strategies to each segment type, the system achieves efficient compression while preserving critical information integrity.
Solution Approach 2:
The patent changes the storage parameters for different data segments by storing CR segments with full resolution and NCR segments as reduced-resolution approximations. This parameter differentiation allows the system to reduce overall computational burden while maintaining data integrity for clinically significant portions.
2Loss of information
If all biological data is stored at full resolution to ensure complete information retention, then data completeness is maintained, but memory capacity is quickly exhausted
Solution Approach 1:
The patent divides biological data into CR and NCR segments, storing CR segments at full resolution to maintain completeness of critical information while storing NCR segments in a reduced format. This segmentation allows the system to preserve data completeness for important features while managing memory capacity constraints.
Solution Approach 2:
The patent applies different quality levels to different portions of the data stream by storing CR segments with high fidelity and NCR segments with reduced fidelity. This local quality differentiation ensures that clinically significant data maintains completeness while overall memory usage is optimized.
3Productivity
If clinically relevant segments are selectively stored to optimize memory usage, then storage efficiency is improved, but risk of losing critical information increases
Solution Approach 1:
The patent performs preliminary identification of CR segments containing features of interest before the compression decision is made. By预先 identifying which segments contain clinically relevant information, the system ensures these segments are preserved with full fidelity, eliminating the risk of losing critical information during selective compression.
Solution Approach 2:
The patent uses feedback from feature detection algorithms to guide the compression process. The system continuously monitors the data stream for CR segments and adjusts storage decisions based on this feedback, ensuring that clinically relevant information is preserved while maintaining high storage efficiency.
4Quantity of substance
If lossy compression is applied to reduce data volume, then memory requirements are reduced, but data precision is degraded
Solution Approach 1:
The patent applies lossy compression selectively only to NCR segments while maintaining full precision for CR segments. This local quality differentiation allows the system to reduce overall data volume through compression of non-critical portions without degrading the precision of clinically relevant measurements.
Solution Approach 2:
The patent changes the precision parameter based on segment type by storing CR segments at full resolution and NCR segments at reduced resolution. This parameter change strategy reduces total data volume while preserving measurement precision for critical clinical data.
Data Source
AI summary
An implantable medical device (IMD) and method are provided. The IMD includes a sensing channel configured to obtain biological signals indicative of biological behavior of an anatomy of interest over a period of time. The biological behavior has a feature of interest that repeats over time. The biological signals have clinically relevant (CR) segments that include information related to the feature of interest. The biological signals have non-clinically relevant (NCR) segments that do not include information related to the feature of interest. At least one of circuitry or a processor are configured to compare the biological signals to an amplitude window to distinguish the CR segments from the NCR segments, save to memory the CR segments and delete the NCR segments, save to memory time information indicative of a duration of the NCR segments that were deleted and to form a lossy compressed data set for the biological signals.