Biological Data Segmentation for Heartbeat Trend Analysis

The patent divides the enormous amount of heartbeat-unit measurement data into multiple segments based on time periods (e.g., daily, weekly, monthly segments). For each segment, it calculates representative values such as average, maximum, minimum, and standard deviation. This segmentation allows doctors to first understand overall trends through aggregated representative values, then drill down into specific segments to examine detailed heartbeat-level data when needed, thus resolving the contradiction between measurement precision and data quantity.

The patent applies local quality by providing different levels of information detail in different contexts. At the segment level, it displays aggregated representative values (average, max, min, standard deviation) for easy overview. When a specific segment is selected or when examining fluctuations, it displays the detailed heartbeat-level measurement data for that segment. This allows doctors to access comprehensive information at the appropriate level of detail, preventing information loss while maintaining ease of operation.

The patent implements a dynamic display system that adapts to user needs. The display automatically adjusts between aggregated segment-level views and detailed heartbeat-level views based on user interaction (such as selecting specific segments or time periods). This dynamic switching allows the system to maintain simplicity for overall trend analysis while providing detailed precision when required, without permanently increasing operational complexity.