Vital Sign Data Matching via Time Domain Synchronization
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Solution Overview
Problem
Service providers face challenges in correlating vital sign information from sensors with user consumption of services or applications, necessitating an approach to match sensor data with concurrently recorded datasets based on a time domain.
Innovation Solution
A method and apparatus that determine and process sensor information from vital signs and locations, matching them to a concurrently recorded dataset based on a time domain, and store the matched records for use by application processes to perform actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensor information is collected and processed to detect objects and track vital signs, then personalized service experiences can be enabled, but the complexity of correlating sensor data with user consumption increases
Solution Approach 1:
The patent introduces a time domain as an intermediary mechanism to bridge sensor data and user consumption data. By synchronizing both data sources through temporal alignment, the system eliminates the need for complex direct correlation algorithms, thereby reducing processing complexity while enabling personalized services.
Solution Approach 2:
The patent transforms the correlation problem into a parameter matching problem by changing the domain from direct data correlation to time-based synchronization. This parameter transformation simplifies the system architecture by replacing complex correlation algorithms with straightforward temporal alignment operations.
2Adaptability or versatility
If vital sign information is matched to concurrently recorded data sets, then service personalization is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary time synchronization of the data streams before the actual matching process. By pre-aligning the temporal frameworks of sensor data and consumption data, the system reduces the computational burden during the matching phase, thereby decreasing overall processing time while maintaining personalization capabilities.
3Measurement precision
If multiple sensors are used to monitor vital signs and locations, then measurement accuracy improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent merges multiple sensor data streams into a unified time-synchronized dataset. By combining the temporal frameworks of different sensors, the system simplifies the detection and measurement process, reducing the complexity of processing multiple independent sensor sources while maintaining high measurement accuracy through aggregated data.
Data Source
AI summary
An approach is provided for matching vital sign information to a concurrently recorded data set according to a time domain. The approach involves determining sensor information collected from one or more sensors configured to monitor one or more vital signs of one or more objects within a monitored area. The approach also involves processing and/or facilitating a processing of the sensor information to detect the one or more objects and to track the one or more vital signs of the one or more objects over a time domain. The approach further involves matching the one or more vital signs of the one or more objects to a concurrently recorded data set based on the time domain. The approach further involves storing at least one record of the one or more vital signs matched to the concurrently recorded data set.