Adaptive Battery Pack for Multi-Type Video Laryngoscope Power Tracking
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Solution Overview
Problem
Existing battery-powered medical devices, such as video laryngoscopes, face challenges in managing battery life and end-of-life tracking, as different devices have varying power consumption, making it difficult to accurately monitor remaining capacity and lifetime usage, which is crucial for ensuring device functionality during critical procedures.
Innovation Solution
A battery pack with an RFID tag, capacity gauge, and processor that adapts to different types of medical devices by maintaining separate EOL counters and providing tailored voltage and power signals, while monitoring and displaying remaining capacity and lifetime usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single battery pack is designed to power multiple types of video laryngoscopes, then versatility and ease of operation are improved, but device complexity increases due to the need for multiple EOL counters and adaptive power management
Solution Approach 1:
The battery pack maintains separate EOL counters (first EOL counter and second EOL counter) for different video laryngoscope types, segmenting the tracking functionality to handle device-specific power consumption patterns independently. This allows the battery pack to adapt to multiple device types without requiring a complete redesign for each device.
Solution Approach 2:
The battery pack is designed with universal compatibility to power multiple types of video laryngoscopes. It includes adaptive power management that automatically adjusts voltage output (fixed voltage via voltage regulator or direct battery output) and power-on signal timing based on the connected device type, eliminating the need for separate battery packs for each device.
2Measurement precision
If separate EOL counters are maintained for different video laryngoscope types, then measurement precision of battery life tracking is improved, but device complexity increases
Solution Approach 1:
The battery pack implements separate EOL counters (first EOL counter for first type of video laryngoscope, second EOL counter for second type) to accurately track battery life for each device type independently. This segmentation allows precise measurement of power consumption patterns specific to each device without interference from other device types.
Solution Approach 2:
The battery pack includes a processor that periodically determines remaining battery capacity using a capacity gauge and automatically updates the appropriate EOL counter based on the connected device type. This feedback mechanism ensures accurate tracking by continuously monitoring and adjusting counter values based on actual power consumption, with the processor disabling power output when either counter reaches its threshold.
3Reliability
If the battery pack adapts voltage output based on device type, then reliability of power supply is improved, but device complexity increases due to voltage regulation requirements
Solution Approach 1:
The battery pack dynamically adjusts its voltage output based on the connected video laryngoscope type. For the first device type, it provides a fixed regulated voltage through the voltage regulator. For the second device type, it bypasses the regulator and provides direct battery voltage. This dynamic adaptation ensures optimal power supply for each device while managing complexity through conditional logic.
Solution Approach 2:
The voltage regulation system applies different voltage characteristics to different device types locally. The voltage regulator provides stable fixed voltage specifically for first type devices that require it, while second type devices receive direct battery voltage. This localized quality adjustment ensures each device receives the appropriate power characteristics without requiring both devices to have identical power requirements.
4Duration of action of moving object
If the battery pack monitors remaining capacity periodically, then duration of action prediction is improved, but use of energy increases due to continuous monitoring
Solution Approach 1:
The battery pack periodically determines the remaining battery capacity using the capacity gauge instead of continuous monitoring. The processor checks the remaining capacity at intervals and updates the RFID tag accordingly. This periodic approach provides sufficient information for duration prediction while minimizing the energy consumed by the capacity gauge, balancing accuracy with energy conservation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures reliable power supply during procedures by accurately tracking battery life and preventing overuse, enhancing safety and efficiency by adapting to device-specific power needs and consumption patterns.
Implementation Method 1
a radio-frequency identification (RFID) tag; receiving a read request, from the first type of video laryngoscope, for a charge capacity value from the unit-capacity section
Data Source
AI summary
The technology relates to a battery pack that can be used to provide power to multiple different types of laryngoscopes. The battery pack includes a processor and is configured to determine the type of medical device in which it is installed. The battery pack performs different operations depending on the type of medical device. For example, the battery pack provides different voltages to the medical devices depending on the type of medical device, and maintains end-of-life counters in the RFID tag in different manners. The battery pack includes a capacity gauge and is configured to measure its own battery capacity and store a corresponding remaining capacity value in the RFID tag for reading by the medical device.