Sleep Data Management via Server-Side Tiling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current home sleep testing (HST) systems require significant time to download and review large sleep data files, which can lead to inefficiencies and distractions for sleep physicians during diagnostic evaluations.
Innovation Solution
The proposed method employs streaming server-side tiling technology and optimized user interface design to allow sleep-related data to be loaded as a series of image tiles, enabling selective download and immediate viewing of specific sleep sessions, along with automatic scoring and manual adjustment capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entire sleep data file is downloaded to allow complete data review, then data completeness is improved, but download time and productivity are worsened
Solution Approach 1:
The sleep data file is segmented into multiple individual sleep sessions, each of which can be downloaded and viewed independently. This allows physicians to download only the specific sessions they need to review, rather than the entire file, thereby reducing download time while maintaining data completeness for the portions being viewed.
Solution Approach 2:
The system enables partial action by allowing physicians to download and review only the specific sleep sessions relevant to their diagnostic needs, rather than requiring complete file transfer. This partial approach maintains sufficient data for diagnostic purposes while significantly reducing unnecessary data transfer time.
2Ease of operation
If the entire sleep data file is downloaded for review, then data accessibility is improved, but time consumption is worsened
Solution Approach 1:
The data is divided into separate sleep session files that can be accessed individually. Physicians can quickly navigate to and download specific sessions without accessing the entire file, improving ease of operation for targeted data review while reducing overall time consumption.
Solution Approach 2:
The system pre-organizes and pre-segments the sleep data into individual session files before download, so that when a physician needs to review specific sessions, they are already prepared and can be downloaded immediately without time-consuming processing or navigation through large files.
3Measurement precision
If manual changes to diagnostic evaluation are made in the downloaded data file, then diagnostic accuracy is improved, but complexity of operations is worsened
Solution Approach 1:
Manual diagnostic adjustments can be made within the context of individual sleep session files rather than navigating through a large monolithic file. This segmentation simplifies the user interface and operational complexity while maintaining the ability to precisely adjust diagnostic evaluations for accuracy.
4Reliability
If multiple data transfers are performed for re-evaluation of sleep data, then diagnostic thoroughness is improved, but time efficiency is worsened
Solution Approach 1:
The system enables re-evaluation of diagnostic accuracy by allowing physicians to download and review specific sleep sessions individually. If manual changes are needed, only the affected session needs to be re-downloaded and re-evaluated, not the entire file, thereby maintaining diagnostic thoroughness while significantly improving time efficiency.
Data Source
AI summary
A system and method electronically manages sleep related data obtained by a diagnostic device. The system and method may include collecting sleep data from a patient using a diagnostic device. The sleep data may be stored in a sleep data file and delineated as multiple sleep sessions. A user may access the stored sleep data by selecting a particular sleep session. The sleep data for the selected sleep session may then be extracted from the sleep data file and presented to the user as a combination of image tiles, JavaScript elements, and an event indicator.