Sleep and Grind Data Display With Time-Aligned Bruxism Correlation
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Solution Overview
Problem
Existing wearable sleep tracking devices fail to effectively display the relationship between bruxism and sleep patterns, making it difficult for individuals to understand how bruxism affects their sleep and the effectiveness of treatments like dental splints.
Innovation Solution
Time-aligning sleep data from a heart rate sensor with grind data from a motion sensor to display the relationship between sleep stages and bruxism events, allowing for graphical representation and comparison with and without a dental splint.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If sleep data and grind data are collected separately from different wearable sensors, then comprehensive data coverage is achieved, but the relationship between bruxism and sleep patterns becomes difficult to understand
Solution Approach 1:
The patent combines sleep data from a heart rate sensor with grind data from a motion sensor by time-aligning them to a common timeline and displaying them together in a unified interface. This merging allows users to see the relationship between bruxism events and sleep stages, resolving the information loss that would occur if the data remained separate.
Solution Approach 2:
The patent introduces an intermediary processing system that receives data from both sensors, time-aligns them using timestamps, and presents them in a correlated display. This intermediary layer bridges the gap between separately collected data sources, enabling users to understand the relationship between grinding events and sleep patterns without directly managing the separate data streams.
2Adaptability or versatility
If multiple data types from different sensors are integrated and displayed together, then comprehensive analysis capability is improved, but system complexity increases
Solution Approach 1:
The patent segments the data processing and display into distinct functional components: data collection from separate sensors, time-alignment processing, and correlated display presentation. This segmentation allows each component to handle its specific task independently, reducing overall system complexity while maintaining comprehensive analysis capability.
Solution Approach 2:
The patent creates a universal data display system that can handle multiple data types (heart rate data, motion data) from different sensor sources through a common time-alignment and display framework. This multi-functional approach allows the same system architecture to process and display various sensor data types without requiring separate processing pipelines for each.
3Ease of operation
If sleep data and grind data are displayed without time alignment, then display simplicity is maintained, but accurate correlation between events and sleep stages is lost
Solution Approach 1:
The patent performs time-alignment of sleep data and grind data before display, using timestamps from each sensor to correlate events with sleep stages in advance. This preliminary action ensures that when data is presented to the user, the correlations are already established, maintaining display simplicity while achieving accurate event-correlation.
Data Source
AI summary
Methods and systems for displaying sleep and grind data are disclosed. In an example, a method involves displaying, on a display of a computing device, time-aligned sleep data and grind data, wherein the sleep data was generated from heart rate data collected from a wearable heart rate sensor, and the grind data was generated from motion data collected from a wearable motion sensor.