Wireless Body Temperature Data Transmission for Pandemic Pattern Detection
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Solution Overview
Problem
Existing medical temperature monitoring systems lack the capability to efficiently collect and analyze body temperature data from multiple individuals over geographic regions to detect patterns indicative of pandemics or outbreaks, such as epidemics, in a timely and cost-effective manner.
Innovation Solution
A system that uses wireless communication paths, including Subscriber Identity Module (SIM) cards and General Packet Radio Service (GPRS), to transmit body temperature data to a processor, which analyzes the data for patterns, stores it in a database, and displays any identified outbreaks or epidemics, utilizing mathematical routines to maximize sensitivity while minimizing false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If body temperature data is collected from multiple individuals over geographic regions, then the capability to detect pandemic patterns is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments the large-scale pandemic detection task into individual temperature measurements from multiple persons, with each person's temperature data being processed independently before aggregation. This allows the complex problem of pandemic detection to be broken down into manageable individual measurements that can be collected in parallel across geographic regions.
Solution Approach 2:
The patent introduces an intermediary processing system that receives temperature data from multiple sources, aggregates the data, and performs pattern analysis. This intermediary layer between individual temperature measurements and pandemic detection conclusions simplifies the overall system architecture by handling the complexity of data aggregation and analysis centrally.
2Ease of operation
If wireless transmission is used to send temperature data, then the ease of data collection is improved, but the energy consumption increases
Solution Approach 1:
Instead of continuous transmission, the system uses periodic action by collecting temperature data over time and transmitting aggregated results at intervals. This approach maintains the ease of wireless operation while significantly reducing energy consumption compared to continuous transmission, as the transmitter operates only periodically rather than continuously.
3Measurement precision
If mathematical routines are applied to maximize sensitivity in pattern detection, then the accuracy of epidemic detection is improved, but the false positive rate may increase
Solution Approach 1:
The system employs feedback mechanisms in its mathematical routines, where detection results and patterns are continuously analyzed and used to adjust detection parameters. This feedback loop allows the system to learn from past detections, refine its sensitivity thresholds, and reduce false positives while maintaining high detection accuracy through iterative optimization.
Data Source
AI summary
A user obtains an individual's body temperature data and transmits the data to a medical monitor (e.g., a medical device) for display. Additional data includes a timestamp and location of the body temperature data. Once the data is transmitted, a user may view the medical monitor for a temperature reading. For example, a doctor may take a patient's temperature and the temperature reading is displayed on a medical monitor. The body temperature data of each patient is detected using a preferred temperature detector, such as a temporal artery thermometer using an arterial heat balance approach. After collecting an individual's body temperature data, the body temperature data can be transferred to a processor. By sending body temperature data for many individuals for a geographic region, the processor can identify a pattern (e.g., a pandemic) in the body temperature data.