Artificial Heart Data Processing for Memory Miniaturization
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Solution Overview
Problem
Existing artificial heart devices face challenges in miniaturization and data management, leading to reduced quality of life for patients and decreased reliability due to the need for large memory capacity and real-time data accumulation, which complicates data analysis and troubleshooting.
Innovation Solution
The artificial heart device incorporates a blood pump, sensors, and data processing units that perform periodic data processing and storage, allowing for reduced data size and focused analysis of operation and biological data, enabling efficient monitoring and maintenance without burdening the patient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real time data is accumulated in a memory for long period, then the data analysis capability is improved, but the memory capacity requirement increases which impedes miniaturization of the artificial heart device
Solution Approach 1:
The patent extracts only the necessary data elements for analysis by implementing selective data storage. The control unit determines which data to store based on predetermined conditions, extracting only relevant information from the continuous data stream rather than storing all real-time data. This reduces memory capacity requirements while maintaining data analysis capability.
Solution Approach 2:
The patent applies different data storage strategies to different data types or time periods. Important data points meeting predetermined conditions are stored with higher priority or detail, while less critical data is stored differently or not at all. This local differentiation optimizes memory usage while preserving analysis capability for critical parameters.
2Volume of stationary object
If real time data is thinned before accumulation, then the memory capacity is reduced, but the data analysis precision deteriorates
Solution Approach 1:
The control unit performs preliminary evaluation of data before storage by comparing data against predetermined conditions. This preliminary action identifies which data points warrant storage based on their significance, ensuring that precision is maintained for critical measurements while reducing storage of redundant information. The thinning process is guided by pre-established criteria rather than random or uniform sampling.
3Duration of action of moving object
If large capacity memory is mounted on the artificial heart device, then the data accumulation period is extended, but the device miniaturization is impeded and patient quality of life is reduced
Solution Approach 1:
The system extracts only essential data points that meet predetermined conditions for storage over extended periods. By selectively identifying and storing only relevant data rather than accumulating all data continuously, the device can maintain long-term data accumulation capability with reduced memory capacity, enabling miniaturization while extending operational duration.
Solution Approach 2:
The patent implements periodic data storage based on predetermined conditions rather than continuous storage. Data is stored at specific intervals or when specific conditions are met, allowing the device to accumulate data over extended periods with less memory requirement. This periodic approach enables long-term monitoring while reducing the physical size of the device.
4Loss of information
If real time data is accumulated without selective processing, then the data completeness is improved, but the troubleshooting efficiency deteriorates due to difficulty in determining abnormality sources
Solution Approach 1:
The control unit extracts and stores data that specifically indicates abnormal conditions by comparing real-time data against predetermined conditions. This extraction focuses on problematic or abnormal data points, making troubleshooting more efficient by highlighting relevant information while maintaining completeness of critical data needed for diagnosis.
Solution Approach 2:
Different data storage and processing approaches are applied to normal versus abnormal conditions. When abnormalities are detected, the system changes its data handling strategy to prioritize and preserve relevant troubleshooting information. This local adaptation ensures data completeness for abnormal events while improving troubleshooting efficiency through targeted data retention.
Data Source
AI summary
An artificial heart device includes: a blood pump which assists flow of blood in a heart; a blood pump control part which controls the blood pump; a first data processing part which performs first data processing on at least one data in a first period out of operation data on the blood pump, operation data on a cool sealing unit which circulates lubrication fluid in the blood pump, biological data corresponding to a state of a patient and operation data on a battery; and a TR data storing part which stores data after the first data processing in association with date-and-time data corresponding to date and time at which the data is stored each time the first period elapses, wherein the data stored in the TR data storing part is retrievable.