Ear-wearable Respiration Sensor Using Motion and PPG Data Fusion
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Solution Overview
Problem
Current methods for measuring respiration rate lack accuracy and comprehensive monitoring, especially when integrated into wearable devices, as they often rely on single sensing modalities and fail to provide timely and reliable data for health assessment and disease progression tracking.
Innovation Solution
An ear-wearable electronic device equipped with both motion and photoplethysmographic (PPG) sensors generates respiration rate estimates through data fusion, using bandpass filtering, sinus fitting, and signal integrity testing to produce accurate and reliable respiration rate data, which can be communicated to external devices or cloud databases for further analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If single sensing modality is used for respiration rate measurement, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent combines multiple sensing modalities (motion sensors, PPG sensors, ECG sensors, temperature sensors) into a single ear-wearable device to measure respiration rate. This merging of sensors allows the system to capture respiration-related signals from different physiological sources, improving measurement accuracy while maintaining a compact form factor suitable for ear-wearable applications.
Solution Approach 2:
The ear-wearable device is designed with multi-functional sensors that can detect multiple physiological parameters simultaneously. The motion sensors, PPG sensors, and other sensors serve both respiration rate monitoring and other health monitoring functions, making the device universally applicable for comprehensive health assessment rather than single-purpose measurement.
2Reliability
If multiple sensing modalities are integrated, then measurement precision is improved, but device complexity increases
Solution Approach 1:
Multiple sensing modalities are merged into a single integrated ear-wearable device, allowing reliable respiration rate monitoring through data fusion from motion sensors, PPG sensors, and other sensors. The integration is achieved through shared processing circuitry and unified data analysis algorithms that correlate signals from different sensors to improve reliability.
Solution Approach 2:
The patent uses signal processing algorithms and data fusion techniques as intermediaries to integrate and correlate signals from multiple sensors. These intermediary processing layers harmonize the data from different sensing modalities, reducing the complexity of direct sensor integration while maintaining high reliability in respiration rate measurement.
3Measurement precision
If data fusion from multiple sensors is performed, then respiration rate accuracy is enhanced, but processing complexity increases
Solution Approach 1:
The system performs preliminary signal processing and filtering on raw sensor data before fusion, pre-processing motion sensor signals, PPG signals, and other sensor outputs to remove noise and extract relevant features. This preliminary action simplifies the subsequent data fusion process and improves the accuracy of respiration rate estimation by providing cleaner input signals.
Solution Approach 2:
The patent implements feedback mechanisms where the processed respiration rate estimates are used to adjust and refine the signal processing parameters and fusion algorithms. This feedback loop continuously optimizes the processing complexity by adapting to the specific characteristics of the user's physiological signals, improving accuracy while managing computational requirements.
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 provides enhanced accuracy in respiration rate monitoring, enabling early detection of health issues, emotional stress assessment, and tracking of respiratory diseases by combining motion and PPG data, improving disease detection and management.
Implementation Method 1
obtaining photoplethysmographic (PPG) data from a PPG sensor of the ear-wearable electronic device
Data Source
AI summary
An ear-wearable electronic device comprises a motion sensor configured to generate motion information and a first respiration rate estimated using the motion information. APPG sensor is configured to generate PPG data and a second respiration rate estimate using the PPG data. A processor is configured to produce a respiration rate estimate using the first and second respiration rate estimates. A communication device is configured to communicate the respiration rate estimate to one or both of an external electronic device and a cloud database.