Atomization Device Inhalation Prediction and Noise Filtering
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Solution Overview
Problem
Existing atomization devices face challenges in accurately predicting inhalation time, leading to imprecision in drug administration due to variations in user breathing patterns, particularly for users with limited capabilities, and are prone to false triggering from abnormal breathing signals.
Innovation Solution
An atomization device equipped with a breathing sensing module and control module that detects inhalations, compares data against valid inhalation standards, statistically analyzes valid data to predict inhalation time, and generates a driving signal for the atomization module, incorporating mechanisms to filter out abnormal patterns and prevent false triggering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the atomization device immediately determines start or end time of drug administration according to pressure or flow characteristics, then the response speed is improved, but the measurement precision deteriorates due to false triggering from mis-operation or abnormal breathing patterns
Solution Approach 1:
The system performs preliminary actions by collecting multiple breath records and establishing valid inhalation standards before actual atomization. The control module pre-processes breath data to identify patterns of valid inhalations, creating a foundation for accurate future atomization timing decisions without immediate response to each individual breath signal.
Solution Approach 2:
The system implements feedback by continuously monitoring breath signals against established valid inhalation standards and adjusting atomization timing based on the statistical analysis of multiple breath records. The control module uses feedback from detected breathing patterns to refine atomization start and end time determination, filtering out abnormal patterns that would cause false triggering.
2Measurement precision
If the atomization device requires users to follow specific breathing patterns, then the atomization timing precision is improved, but the ease of operation deteriorates for users with limited capabilities
Solution Approach 1:
The system applies dynamics by adaptively adjusting the valid inhalation standards based on statistical analysis of each user's actual breathing patterns. Rather than requiring users to conform to fixed breathing patterns, the control module dynamically learns and adapts to individual users' natural breathing characteristics, making the device easy to operate for users with limited capabilities while maintaining precision.
Solution Approach 2:
The system changes parameters by modifying the valid inhalation time and other criteria based on statistical analysis of multiple breath records. The control module adjusts these parameters to match each user's specific breathing characteristics, allowing the device to work effectively with diverse users without requiring them to change their natural breathing patterns.
3Measurement precision
If the atomization device collects and analyzes multiple breath records to predict inhalation time, then the atomization timing precision is improved, but the loss of time increases due to data collection and statistical analysis
Solution Approach 1:
The system performs preliminary data collection and statistical analysis during initial setup or calibration phases, so that when actual atomization is needed, the prediction model is already established. The control module uses pre-collected breath records to create prediction algorithms, eliminating the need for real-time data collection during critical atomization moments.
Solution Approach 2:
The system uses partial action by collecting a sufficient but not excessive number of breath records to achieve statistically significant predictions. The control module determines the minimum necessary sample size for reliable inhalation time prediction, avoiding unnecessary data collection that would waste time while ensuring enough data is gathered for accurate predictions.
Data Source
AI summary
An atomization device and a method of predicting atomization time for the same are provided. The atomization device includes a control module, an atomization module and a breathing sensing module. The method includes: configuring the breath sensing module to detect inhalations of a user using the atomization device, so as to generate initial breath data correspondingly; and configuring the control module to perform: comparing inhalation data of the initial breath data with a valid inhalation standard to obtain valid inhalation data and filter noise; statistically analyzing the valid inhalation data to generate a predicted value of inhalation time; calculating an atomization time according to the predicted value of the inhalation time; and generating a driving signal to drive the atomization module to perform atomization according to the atomization time.