Correlating Non-PSG Physiological Parameters with Sleep States
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Solution Overview
Problem
Current medical devices, especially implantable medical devices, are unable to effectively monitor sleep states over long periods due to the requirement for polysomnographic parameters like EEG, EOG, and EMG, making it difficult to control therapy delivery and assess sleep quality.
Innovation Solution
Correlating non-polysomnographic physiological parameters such as posture, heart rate, and blood oxygen saturation with polysomnographically determined sleep states to develop a relationship that allows medical devices to identify sleep states without the need for traditional PSG monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If polysomnographic parameters (EEG, EOG, EMG) are used to identify sleep states, then measurement precision is improved, but device complexity and ease of operation deteriorate due to multiple sensors and obtrusive electrodes
Solution Approach 1:
The patent extracts the essential sleep state identification function from the complex polysomnographic system by selecting and utilizing only heart rate and respiration rate parameters, which can be obtained from existing implantable medical devices without requiring additional PSG-specific sensors or electrodes
Solution Approach 2:
The patent makes existing implantable medical devices multi-functional by enabling them to perform sleep state identification using their existing heart rate and respiration rate monitoring capabilities, eliminating the need for separate PSG equipment and obtrusive electrodes
2Measurement precision
If polysomnographic parameters are used for long-term monitoring, then measurement precision is improved, but ease of operation deteriorates due to clinical setting requirements and multiple sensors
Solution Approach 1:
The patent enables existing implantable medical devices to self-serve the additional function of sleep state identification using their already-present heart rate and respiration rate sensors, eliminating the need for external PSG equipment and clinical setting requirements
Solution Approach 2:
The patent uses heart rate and respiration rate as intermediary parameters that bridge between the existing implantable device capabilities and the desired sleep state identification function, allowing indirect but effective monitoring without direct PSG measurements
3Measurement precision
If traditional PSG monitoring is used, then sleep state identification accuracy is improved, but device complexity increases due to multiple sensors and external equipment
Solution Approach 1:
The patent extracts the essential sleep state identification function from the complex polysomnographic system by selecting and utilizing only heart rate and respiration rate parameters, which can be obtained from existing implantable medical devices without requiring additional PSG-specific sensors or electrodes
Solution Approach 2:
The patent merges the sleep state identification function with the existing heart rate and respiration rate monitoring capabilities of implantable medical devices, combining multiple functions into a single integrated system that reduces overall complexity
Data Source
AI summary
Values of a non-polysomnographic (non-PSG) physiological parameter set may be correlated to polysomnographically (PSG) determined sleep states. The correlated values of the non-PSG parameter set and sleep states may be analyzed, and a relationship between the values and sleep states may be determined. The relationship may allow determination of sleep states for any given patient based on values of the non-PSG physiological parameter set for the patient. The non-PSG physiological parameter set does not include physiological parameters typically required for PSG, such as brain electrical activity (EEG), eye movement (EOG), and jaw or neck muscular activity or tone (EMG). Medical devices, such as implantable medical devices (IMDs) that would generally be unable to monitor such physiological parameters, may apply the relationship to values of the non-PSG physiological parameter set for a patient to identify sleep states of the patient.