Defibrillator Power Management via Clinical Activity Detection
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Solution Overview
Problem
Current defibrillators and monitors require manual power management, leading to increased startup times and potential battery depletion due to user error, as they rely solely on user inactivity to enter power-saving modes, which is not suitable for continuous clinical monitoring needs.
Innovation Solution
Implementing an automatic power management system that detects both user and clinical activities to alter the power status of subsystems, ensuring instant readiness and reducing power consumption by employing clinical activity thresholds for powering on and off, and using low-power mechanisms for activity detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual power control is used, then user has direct control over device power, but startup time increases and battery depletion risk increases
Solution Approach 1:
The device automatically manages its own power state by detecting clinical activities (ECG signals, arrhythmia detection) and user activities (button presses, pad attachment) through activity detection modules, eliminating the need for manual power control while reducing startup time to near-instantaneous activation
2Ease of operation
If manual power control is used, then user controls when device is on, but battery depletion risk increases due to user error
Solution Approach 1:
The control module automatically monitors clinical and user activities to determine optimal power states, preventing user error-induced battery depletion while extending battery life through intelligent power management that keeps the device ready only when clinically necessary
Solution Approach 2:
The system continuously monitors activity detection module inputs (clinical signals and user interactions) and uses this feedback to dynamically adjust power states of subsystems, ensuring the device remains powered only when needed for clinical monitoring or user interaction
3Loss of energy
If activity detection is used to manage power, then power consumption is reduced, but device complexity increases
Solution Approach 1:
The power management system is divided into separate activity detection modules that independently monitor specific clinical parameters (ECG, arrhythmia) and user interactions, allowing selective activation of subsystems based on detected activity types without requiring a monolithic complex control system
Data Source
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AI summary
An emergency medical device includes a power source (12) configured to power one or more subsystems of the device. A user activity detection module (56) is configured to sense user activity in the one or more subsystems, and a clinical activity detection module (54) is configured to sense clinical activity in the one or more subsystems. A control module (30) is coupled to the one or more subsystems and configured to alter a power status of the one or more subsystems in accordance with an activity sensed in at least one of the user activity detection module and the clinical activity detection module.