Programmable Interface for Medical Waveform Data Processing
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Solution Overview
Problem
Current medical devices generate valuable waveform data that is often underutilized due to difficulties in real-time management and processing, with much of this data going unnoticed or requiring time-consuming analysis to detect potential issues.
Innovation Solution
A programmable interface system that connects medical devices to a main platform for real-time data processing, allowing for smart sampling of waveform data based on defined logic, resampling, sanity checks, and feature extraction, with the ability to change device settings and synchronize time, thereby improving data utilization and reducing network traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If waveform data is continuously monitored and analyzed in real-time, then patient care quality improves through early detection of issues, but system complexity and processing requirements increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-defining logic conditions and thresholds for waveform analysis. The programmable interface is configured with predetermined criteria for detecting significant changes in waveform data, allowing the system to automatically trigger alerts or actions when these pre-set conditions are met, thereby improving patient care without requiring complex real-time analysis of all waveform data
Solution Approach 2:
A programmable interface acts as an intermediary between the medical device generating waveform data and the main platform. This interface layer processes and filters waveform data locally, extracting only clinically relevant information before transmitting it to the main platform. This reduces the complexity burden on the overall system while maintaining reliable patient monitoring capabilities
2Loss of information
If all waveform data is transmitted to the main platform, then data completeness improves for comprehensive analysis, but network traffic and processing load increase
Solution Approach 1:
The programmable interface extracts only the essential and clinically relevant waveform data features before transmission to the main platform. By identifying and transmitting only critical parameters and significant waveform characteristics rather than complete raw data, the system maintains data completeness for effective analysis while dramatically reducing network traffic and associated energy consumption
Solution Approach 2:
The system applies local quality processing by performing initial waveform data filtering and feature extraction at the local programmable interface level. This local processing ensures that only high-quality, relevant data is transmitted to the main platform, maintaining data completeness where needed while reducing overall network load by eliminating redundant or insignificant data transmission
3Measurement precision
If waveform data is stored in raw form for detailed analysis, then measurement precision is maintained for accurate diagnostics, but storage requirements and processing time increase
Solution Approach 1:
The system performs preliminary processing of waveform data at the programmable interface, pre-calculating and storing key features and extracted parameters before potential retrieval for detailed analysis. This preliminary action ensures that when detailed analysis is needed, the processing time is reduced while measurement precision is maintained through the preservation of essential waveform characteristics in both raw and processed forms
Data Source
AI summary
Various embodiments relate to a programmable interface configured to connect a medical device to a main platform, including: a medical device interface configured to connect to a medical device, receive waveform data from the medical device, and to send medical device commands to the medical device; a main platform interface configured to connect to a main platform, receive platform interface commands from the main platform, and transmit waveform data from the medical device to the main platform based upon the platform interface commands; a buffer memory configured to store waveform data generated by the medical device; and a waveform processing and control unit configured to process the waveform data generated by the medical device stored in the buffer memory according to the platform interface commands.