Multi-Axis Accelerometer Heart Rate Detection via Dynamic Peak Search
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for detecting physiological information, such as heart rate, using mobile or wearable devices are limited by the need for user compliance and accuracy, particularly in methods involving image analysis or direct contact with sensors.
Innovation Solution
A method and device utilizing a multi-axis accelerometer to obtain and process acceleration data, detecting peaks in specific time intervals to estimate physiological information like heart rate and respiratory rate without the need for direct contact or image analysis, using a wearable device with a processing unit to analyze acceleration data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image analysis methods are used to detect heart rate, then physiological information can be obtained, but user compliance and accuracy are limited
Solution Approach 1:
The patent replaces optical/image analysis methods with mechanical acceleration sensing. The accelerometer detects body motion caused by cardiac activity, substituting the optical detection system with a mechanical sensing system that measures acceleration patterns during each heartbeat, thereby improving both accuracy and user compliance.
Solution Approach 2:
The patent introduces body motion as an intermediary between the heart and the detection device. Instead of directly measuring optical properties or requiring direct contact, the system detects the mechanical motion transmitted through body tissues during cardiac cycles, enabling non-invasive and compliant measurement.
2Measurement precision
If direct contact sensors are used to detect heart rate, then accurate physiological information can be obtained, but the method requires user compliance and direct contact
Solution Approach 1:
The patent replaces direct-contact optical or electrical sensors with a mechanical accelerometer that detects body motion. This substitution eliminates the need for direct skin contact or optical coupling while maintaining detection accuracy through measurement of acceleration patterns caused by cardiac-induced body motion.
Solution Approach 2:
The system utilizes the body's own mechanical response to cardiac activity as the detection signal. The heart's pumping action naturally produces body motion that the accelerometer detects, eliminating the need for external contact or user cooperation beyond normal movement.
3Device complexity
If peak detection is performed in fixed time intervals, then processing is simple, but detection accuracy may be compromised when heart rate varies
Solution Approach 1:
The patent implements dynamic time interval adjustment for peak detection. Instead of using fixed time windows, the system adapts the searching time interval based on the detected heart rate, allowing the detection algorithm to flexibly adjust to varying cardiac frequencies and maintain accuracy across different physiological states.
Solution Approach 2:
The system dynamically changes the time interval parameter based on detected physiological conditions. By calculating the maximum time interval between consecutive peaks and using this to adjust subsequent search windows, the algorithm optimizes its parameters in real-time to match the user's current heart rate, improving detection precision without excessive complexity.
Data Source
AI summary
A method for detecting physiological information, adapted to a wearable multi-axis accelerometer for detecting the physiological information, the method comprises obtaining a detecting signal in a sampling time via the multi-axis accelerometer; detecting peaks of the detecting signal in a first searching time interval to obtain a plurality of first peaks; calculating first time intervals between every two adjacent first peaks, and taking maximum of the first time intervals as a second searching time interval; detecting peaks of the detecting signal in the second searching time intervals to obtain a plurality of the second peaks; and obtaining the physiological information from the detecting signal based on the second peaks.