Mandibular Distance Signal Processing for RERA Detection
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Solution Overview
Problem
Current methods for detecting respiratory effort related arousals (RERA) in sleep disorders, such as those using mandibular distance measuring devices, require substantial expertise and struggle to accurately differentiate RERA from other sleep disorders, necessitating improved signal processing techniques for biomarker detection.
Innovation Solution
A method involving the determination of upper and lower envelopes of mandibular distance or movement signals, averaging these envelopes, and subtracting the average signal from the original to generate a modified signal, which is then filtered with a linear phase FIR high-pass filter for enhanced detection of RERA.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mandibular distance measuring devices are used to detect sleep disorders, then respiratory effort related arousals can be detected, but substantial expertise is required to assess the signals and accurate differentiation from other sleep disorders is difficult
Solution Approach 1:
The patent extracts and isolates specific signal characteristics (upper and lower envelopes) from the complex mandibular distance signal. By separating these envelope components and processing them independently, the system reduces the complexity of signal assessment while maintaining detection accuracy of RERA events.
Solution Approach 2:
The patent applies preliminary signal processing actions by calculating the upper and lower envelopes before final detection. This pre-processing step simplifies the signal structure and prepares it for more straightforward analysis, reducing the expertise required for accurate RERA detection.
2Measurement precision
If raw mandibular distance signals are used directly, then device complexity is low, but signal noise reduces detection precision and false detections occur
Solution Approach 1:
The patent segments the mandibular distance signal into distinct components: the original signal, the upper envelope, and the lower envelope. This segmentation allows each component to be processed and analyzed separately, improving measurement precision while keeping the processing approach systematic and manageable.
Solution Approach 2:
The patent transitions from analyzing the raw one-dimensional signal to examining the signal in additional dimensions by calculating envelope structures. This dimensional transformation reveals underlying patterns and reduces noise, enhancing detection precision without requiring overly complex processing systems.
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
Facilitates the assessment of RERA and improves the detection of respiratory-related arousals by providing clearer biomarkers, reducing false detections and confusion with other sleep disorder signals, thus enabling more accurate diagnosis and treatment.
Implementation Method 1
The emitter is arranged to produce a magnetic field by means of a resonant circuit
Implementation Method 2
The receiver picks up the resonant frequency of the emitter and converts the strength of the magnetic field into a signal
Data Source
AI summary
Methods, processes, storage media, apparatus and systems for method for detecting respiratory effort related arousals (RERA) through modified mandibular distance or movement signals in subjects suffering from sleep disorder are disclosed.