Telemetry System False Alarm Reduction via Preliminary Action
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Solution Overview
Problem
Conventional medical telemetry systems generate false alarms during medical procedures, leading to unnecessary resource allocation and environmental disruption, and lack interactive communication with users for lifestyle management and health monitoring.
Innovation Solution
A method utilizing a user monitoring device with sensors that collect activity, behavior, and habit data, analyzed using tools within a telemetry system to provide feedback, incorporating an activity manager and feedback control to manage user lifestyle or medical conditions, with features like unique user IDs, wireless communication, and context-based alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional telemetry systems continuously monitor and generate alarms, then user safety is improved, but false alarms increase causing resource waste and environmental disruption
Solution Approach 1:
The system performs preliminary actions by detecting telemetry component removal before it triggers a false alarm. The activity manager continuously monitors for removal events and preemptively updates the alarm suppression status, preventing false alarms from occurring in the first place while maintaining continuous safety monitoring
Solution Approach 2:
The system implements feedback control where the activity manager receives real-time data about telemetry component status and user activities, analyzes this information, and adjusts alarm generation accordingly. This closed-loop feedback mechanism distinguishes between legitimate alarm conditions and situations where alarms should be suppressed, resolving the contradiction between safety monitoring and false alarm reduction
2Difficulty of detecting and measuring
If bedside monitoring equipment provides sophisticated data analysis and displays, then monitoring capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts the complex data analysis and processing functions from the bedside monitoring unit and relocates them to a centralized server or remote computing system. The bedside unit retains only essential monitoring and data collection capabilities, while sophisticated analysis, visualization, and reporting are performed remotely, reducing local device complexity and cost
Solution Approach 2:
The system introduces an intermediary computing platform (server or cloud system) that acts as a mediator between the simple bedside monitoring unit and the user. This intermediary handles all complex data processing, analysis, and presentation tasks, allowing the bedside device to remain simple while providing sophisticated monitoring capabilities through the intermediary
3Quantity of substance
If telemetry systems transmit detailed physiological data, then data completeness is improved, but communication bandwidth and energy consumption increase
Solution Approach 1:
The system extracts and separates critical real-time data from comprehensive detailed data. Only essential physiological parameters requiring immediate attention are transmitted continuously to the central system, while complete detailed data is stored locally in the device memory. This selective extraction reduces transmission energy consumption while maintaining data completeness for later analysis
Solution Approach 2:
The system implements periodic data transmission instead of continuous transmission. Comprehensive physiological data is transmitted at scheduled intervals or when significant changes occur, rather than continuously. This periodic approach reduces overall energy consumption while ensuring that complete data is periodically available for analysis and monitoring
Data Source
AI summary
A method is provided for using telemetry data based on user habit information or user monitoring. One or more sensors of a monitoring device detects or measures user information selected from of at least one of, a user's activities, behaviors and habit information, and a user's health. The user information is received at a telemetry system with a database. One or more analysis tools at the telemetry system are used for the analysis. Analysis information is produced that is sent to the monitoring device.