Dynamic Breathing Simulator With Algorithmic Waveform Control
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Solution Overview
Problem
Existing breathing simulators are limited by their static nature and lack the ability to simulate dynamic human breathing patterns, particularly under rapidly changing conditions, which is crucial for high-fidelity simulations in tactical environments.
Innovation Solution
A breathing simulator that utilizes a gas holding chamber, motion imparting mechanism, and motion control device with mathematically-based algorithms to generate dynamic breathing profiles, including sinusoidal, blended, and custom waveforms, capable of real-time adjustments and seamless transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a mechanical approach with ball-screw driven bellows controlled by servo motor is used, then basic sinusoidal waveforms can be generated, but the system is static and cannot rapidly adapt to changing breathing patterns
Solution Approach 1:
The system transitions from static mechanical control to dynamic software-based control, where breathing patterns can be rapidly changed by updating algorithms without physical reconfiguration. The motion control device receives real-time commands to adjust bellows movement based on varying breathing requirements.
Solution Approach 2:
The system changes operational parameters (breathing rate, tidal volume, waveform shape) through software algorithm modifications rather than mechanical adjustments. This allows rapid transition between different breathing patterns by changing numerical parameters in the control software.
2Speed
If operator intervention is required to change flow settings, then the system remains simple to operate, but it cannot rapidly respond to dynamic breathing changes
Solution Approach 1:
The system performs automatic breathing pattern adjustments based on algorithmic calculations without requiring operator intervention. The motion control device autonomously commands the bellows to follow desired breathing patterns determined by the control software.
Solution Approach 2:
Manual mechanical adjustment of breathing parameters is replaced by automated electronic control. The motion control device translates software algorithms into mechanical bellows movements, enabling rapid response to changing breathing requirements without operator action.
3Adaptability or versatility
If look-up tables are used to provide waveguide points, then basic waveform generation is achieved, but real-time waveform changes are limited
Solution Approach 1:
Instead of relying on pre-stored look-up tables, the system calculates breathing waveforms in advance using mathematical algorithms based on desired breathing parameters. This allows real-time adaptation by recalculating waveforms with new parameters before execution.
Solution Approach 2:
Static look-up table data is replaced by dynamic mathematical algorithms that calculate breathing waveforms in real-time. This substitution enables flexible waveform generation by changing algorithm parameters rather than switching between pre-programmed tables.
Data Source
AI summary
A breathing simulator for simulating the dynamic breathing patterns is disclosed. The breathing simulator may include: a gas holding chamber capable of expanding and contracting having a movable portion for expanding and contracting the gas holding chamber; a motion imparting mechanism operatively connected to movable portion of the gas holding chamber; a motion control device for controlling the expansion and contraction of the gas holding chamber; and a motion controller in communication with the motion control device. The motion controller includes software thereon, wherein the software contains an algorithm that express the motion of the movable portion of the gas holding chamber in terms of the equations for a circle in a Cartesian coordinate system, wherein the algorithm provides a mathematically-based breathing profile that is executed by the motion control device.