Sleep Quality Index Using Physiological Data and Patient Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for assessing sleep quality and sleep disordered breathing are insufficient in providing comprehensive, efficient, and patient-centric feedback, often relying on subjective scales or cumbersome objective tests that do not adequately capture the patient's overall sleep quality and do not facilitate real-time adjustments to treatment.
Innovation Solution
A method and apparatus that utilize physiological parameters measured during sleep sessions, combined with patient feedback, to calculate a composite sleep quality index, which is communicated to the patient, allowing for adjustments to therapy settings and treatment devices based on the index.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective scales (Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index) are used to assess sleep quality, then patient perception and comfort are improved, but measurement precision and objectivity deteriorate
Solution Approach 1:
The patent combines multiple physiological parameters (respiratory rate, heart rate, blood oxygen saturation, body position, movement) into a unified objective sleep quality assessment system. This merging of multiple measurement dimensions creates a comprehensive objective metric that compensates for the subjectivity of individual scales while maintaining patient comfort through non-invasive monitoring.
Solution Approach 2:
The patent introduces physiological parameters as intermediary measurements that objectively reflect sleep quality. Instead of directly asking patients to self-assess, the system uses measurable physiological indicators (breathing patterns, heart rate variability, oxygen saturation) as mediators to infer sleep quality, thereby achieving objective measurement without compromising patient comfort.
2Measurement precision
If comprehensive physiological monitoring is implemented to improve measurement precision, then device complexity and cost increase
Solution Approach 1:
The patent employs a multi-functional monitoring system where a single integrated device captures multiple physiological parameters simultaneously. The system uses universal sensors that can detect respiratory rate, heart rate, blood oxygen saturation, and body position using the same hardware platform, thereby reducing overall device complexity while maintaining comprehensive measurement precision.
Solution Approach 2:
The patent segments the sleep quality assessment into distinct physiological components (respiratory parameters, cardiovascular parameters, positional data, movement detection). Each segment is measured independently using dedicated sensors, and the results are integrated to form a comprehensive assessment. This segmentation allows for modular device design that can be scaled based on clinical needs.
3Measurement precision
If multiple sleep sessions are monitored to improve assessment accuracy, then time required for assessment increases
Solution Approach 1:
The patent performs preliminary processing of physiological data during the sleep session itself, continuously calculating intermediate metrics such as respiratory event detection, arousal identification, and quality scoring. By performing these calculations in real-time during sleep rather than requiring post-processing of raw data, the system reduces the time burden on patients while maintaining high assessment accuracy through multi-session aggregation.
Solution Approach 2:
The patent implements continuous monitoring and continuous calculation of sleep quality metrics across multiple sessions. Rather than discrete, time-consuming assessments, the system continuously accumulates physiological data and updates sleep quality scores in real-time, allowing for accurate longitudinal assessment without requiring patients to dedicate additional time beyond their normal sleep periods.
Data Source
AI summary
Systems and/or methods for assessing the sleep quality of a patient in a sleep session are provided. Data is collected from the patient and/or physician including, for example, sleep session data in the form of one or more physiological parameters of the patient indicative of the patient's sleep quality during the sleep session, a subjective evaluation of sleep quality, etc.; patient profile data; etc. A sleep quality index algorithm, which optionally may be an adaptive algorithm, is applied, taking into account some or all of the collected data. Sleep quality data may be presented to at least the patient, and it may be displayed in any suitable format (e.g., a format useful for the patient to be appraised on the progress of the treatment, a format useful for a sleep clinician to monitor progress and/or assess the effectiveness of differing treatment regimens, etc).