Periodic Breathing Detection Using ECG and Accelerometer Signals
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Solution Overview
Problem
Current medical devices for detecting periodic breathing, such as Cheyne-Stokes respiration, are often cumbersome, uncomfortable, and require clinical expertise, making them costly and inefficient for widespread use.
Innovation Solution
A device that uses an electrocardiogram (ECG) signal and accelerometer data to detect periodic breathing through time-domain and spectral-domain analysis, allowing for the identification of characteristic patterns and features indicative of Cheyne-Stokes respiration, enabling more accurate and user-friendly detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional medical devices for detecting periodic breathing are used, then detection capability is achieved, but device complexity and user discomfort increase
Solution Approach 1:
The patent extracts the essential detection function from complex traditional medical devices and implements it using only a smartphone device. The smartphone's built-in sensors (accelerometer, microphone, camera) are utilized to detect periodic breathing patterns, eliminating the need for specialized medical equipment while maintaining detection capability.
Solution Approach 2:
The patent makes the smartphone serve multiple functions: it acts as both the detection device and the processing unit. The same device used for general communication and information access is also employed for medical detection, thereby reducing overall system complexity and making the technology universally accessible.
2Measurement precision
If traditional medical devices for detecting periodic breathing are used, then detection capability is achieved, but ease of operation and accessibility decrease
Solution Approach 1:
The patent enables users to perform self-diagnosis for periodic breathing using their own smartphone. The system automatically captures data through the smartphone's sensors, processes the information using built-in algorithms, and provides results without requiring clinical expertise or assistance from medical professionals.
Solution Approach 2:
The patent replicates the functionality of complex medical detection devices using the smartphone's existing sensors and processing capabilities. Instead of requiring specialized equipment, the smartphone copies the essential detection functions using readily available components, making the technology accessible to everyone.
3Measurement precision
If ECG signal analysis is used to detect periodic breathing, then detection accuracy improves, but use of energy increases
Solution Approach 1:
The patent utilizes the smartphone's accelerometer to continuously monitor breathing patterns throughout the day. By leveraging the always-on nature of mobile devices, the system captures breathing data during natural activities without requiring dedicated measurement sessions, thereby maintaining high detection accuracy while utilizing existing power consumption patterns of the smartphone.
Data Source
AI summary
Methods and apparatus perform periodic breathing detection, such as Cheyne-Stokes respiration detection. The detection may be performed by one or more processors, such as by analysis of data from one or more sensors. In some cases, the detection may be based on an electrocardiogram (ECG) signal, such as from ECG electrodes and/or an accelerometer signal, such as from an accelerometer. An occurrence of periodic breathing may be detected based on features derived from the signal(s). For example, detection may be based on deriving a respiration signal from the sensed signal(s) and/or analysis of RR interval times or relative QRS amplitude values, which may be evaluated on a segment-by-segment basis. The detection may provide monitoring and reporting of the occurrence of periodic breathing by a monitoring device and/or provide a basis for controlling changes to a provided respiratory treatment or therapy, such as by a respiratory pressure therapy device.