Cloud Platform for Respiratory Data Analysis and AECOPD Alarm
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Solution Overview
Problem
Current methods lack effective early-stage monitoring for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) in patients, leading to difficulties in timely treatment and increased morbidity and mortality.
Innovation Solution
A cloud platform that receives and analyzes respiration data from respirators, sending alarms when abnormal patterns are detected, allowing for early intervention and diagnosis of potential AECOPD through statistical analysis of user respiration data sets against stable state values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If statistical analysis of user respiration data sets is performed on the cloud platform, then early detection of AECOPD exacerbations is enabled, but system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a cloud platform as an intermediary between the respirator device and the user/doctor. The cloud platform receives respiration data sets from the respirator, performs statistical analysis against stable state values, and generates alarm signals when AECOPD exacerbations are detected. This intermediary approach enables complex data processing without increasing the complexity of the respirator device itself.
2Reliability
If continuous monitoring of respiration data is implemented, then patient safety and early intervention are improved, but energy consumption and data transmission requirements increase
Solution Approach 1:
The patent implements periodic monitoring by receiving respiration data sets at defined intervals (uploading cycles) rather than continuous monitoring. The system acquires a current respiration data set and compares it with stable state values periodically, enabling early detection of AECOPD exacerbations while reducing energy consumption and data transmission requirements compared to continuous monitoring.
Data Source
AI summary
A cloud platform comprises a receiving unit and a processing unit. The receiving unit is configured to receive at least one user respiration data set sent by at least one respirator device in at least one uploading cycle. The processing unit is configured to acquire a first user respiration data set sent by a user of one respirator device among at least one respirator device in one uploading cycle, statistically analyze the first user respiration data set on the basis of a stable state value set of the user, and send an alarm signal when the statistical analysis result is determined to be that the first user respiration data set meets a data exception standard. The disclosure provides an on-line user respiration data analysis solution in combination with disease diagnosis of an off-line respiration system, so that the worsening of a patient's conditions can be possibly found in time.