Heart Rate Sensor ECG Symptom Identification via Intermediary Processing
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Solution Overview
Problem
Existing electronic devices lack an efficient method to accurately measure heart rate and identify electrocardiogram (ECG)-related symptoms, such as arrhythmia, which is crucial for health management and early disease detection.
Innovation Solution
An electronic device equipped with a heart rate measurement sensor and processing capabilities to obtain heart rate information, identify ECG-related symptoms, and generate data for sharing with medical professionals, utilizing both heart rate data and external audio signals for symptom analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a heart rate measurement sensor is used to measure heart rate, then heart rate measurement capability is provided, but the device cannot accurately identify ECG-related symptoms such as arrhythmia
Solution Approach 1:
The patent introduces an intermediary processing system that includes a processor and memory with computer program code. This intermediary layer receives raw heart rate information from the sensor, processes it through algorithms, and identifies ECG-related symptoms by comparing against stored patterns and criteria, thereby bridging the gap between basic measurement and symptom detection
Solution Approach 2:
The system performs preliminary actions by pre-storing ECG-related symptom patterns and criteria in the memory before actual measurement occurs. When heart rate information is obtained, the processor immediately compares it against these pre-established patterns to identify symptoms, enabling accurate detection without requiring complex real-time analysis
2Loss of information
If heart rate information and ECG-related symptoms information are integrated, then comprehensive health data is generated, but device complexity increases
Solution Approach 1:
The patent merges heart rate information from the sensor with ECG-related symptoms information by integrating them into a unified data structure in the memory. The processor combines these data types through systematic comparison and analysis, generating comprehensive health data that includes both raw measurements and identified symptoms without requiring separate storage or processing systems
Solution Approach 2:
The processing system is designed with multi-functionality, where the same processor and memory structure handle both raw heart rate data collection, symptom identification, and comprehensive health data generation. This universal approach eliminates the need for separate specialized systems for each function, reducing overall device complexity while maintaining data completeness
3Reliability
If accurate heart rate measurement and symptom identification are implemented, then health management capability is improved, but ease of operation decreases
Solution Approach 1:
The system implements self-service by automatically performing heart rate measurement, symptom identification, and health data generation without requiring user intervention. The processor autonomously compares obtained heart rate information against stored ECG-related criteria and generates comprehensive health data, eliminating the need for users to manually input data or interpret complex results while maintaining high reliability through automated processing
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The device enables accurate and convenient heart rate measurement and symptom identification, facilitating timely health management and improved user convenience in monitoring and sharing heart-related health data.
Implementation Method 1
obtain heart rate information by using the heart rate measurement sensor
Data Source
AI summary
An electronic device includes: a heart rate measurement sensor; at least one processor; and at least one memory including computer program code, where the at least one memory and the computer program code are configured, with the at least one processor, to cause the electronic device to at least: obtain heart rate information by using the heart rate measurement sensor, identify the obtained heart rate information and electrocardiogram (ECG)-related symptoms information corresponding to the heart rate information, and generate first data, based on the heart rate information and the ECG-related symptoms information.