Heart Status Assessment Using Fine-Grained Scoring Models
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Solution Overview
Problem
Existing heart health prompt solutions are not intuitive and have a coarse-grained assessment scale, making it difficult for users to recognize their heart health degrees.
Innovation Solution
A heart status assessment method and apparatus that involves obtaining heart rhythm sample data, training a preset scoring model to create a heart rhythm scoring model, and inputting to-be-recognized heart rhythm features into the model to obtain a heart status assessment score, which is displayed to users for intuitive understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a coarse-grained assessment scale is used for heart health evaluation, then the solution is simple and easy to implement, but users cannot accurately recognize their heart health degree
Solution Approach 1:
The patent segments the heart health assessment into multiple fine-grained dimensions including arrhythmia risk score, cardiac function score, and lifestyle factor scores. Each dimension is evaluated separately with specific criteria, allowing users to understand their heart health status in detail across different aspects rather than a single coarse rating.
Solution Approach 2:
The patent transforms the assessment from coarse-grained categories to fine-grained numerical parameters. It uses multiple quantitative parameters such as arrhythmia risk level (low/medium/high), cardiac function grade (I-IV), and specific numerical scores that can be precisely measured and tracked over time, enabling accurate recognition of heart health degree.
2Ease of operation
If simple prompts are provided for heart rhythm detection, then the device is easy to use, but users lack understanding of their actual heart health status
Solution Approach 1:
The patent introduces an intelligent processing system that acts as an intermediary between the raw heart rhythm data and the user. This system automatically analyzes ECG signals, calculates multiple assessment dimensions, and translates complex medical data into user-friendly visual reports with actionable insights, preserving complete information while maintaining ease of use.
Solution Approach 2:
The system enables users to self-assess their heart health status by automatically processing their own ECG data through the embedded scoring algorithms. Users receive comprehensive heart health evaluations without requiring medical professional intervention, while still obtaining complete and accurate information about their cardiac condition.
3Measurement precision
If comprehensive heart disease analysis is performed targeting high-risk patients, then diagnostic accuracy is improved, but early intervention for low-risk arrhythmias becomes difficult
Solution Approach 1:
The patent implements preliminary assessment capabilities that evaluate heart health risks before they progress to severe stages. By continuously monitoring and scoring multiple risk dimensions, the system identifies early signs of arrhythmia and cardiac issues in low-risk individuals, enabling preventive intervention before the condition deteriorates to high-risk levels requiring intensive medical treatment.
Data Source
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AI summary
A heart status assessment method and apparatus, a terminal device (7), and a storage medium are provided. The method includes: obtaining heart rhythm sample data, where the heart rhythm sample data includes sample heart rhythm features and sample labels (S101); training a preset scoring model based on the heart rhythm sample data, to obtain a heart rhythm scoring model (S102); and inputting a to-be-recognized heart rhythm feature into the heart rhythm scoring model, to obtain a heart status assessment score (S 103). This application can resolve a problem that it is difficult for a user to recognize a heart health degree because the existing heart health prompt solution is not intuitive with a coarse-grained assessment scale.