Sleep Phase Detection via Multi-Signal Quality Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods fail to provide a reliable and detailed assessment of sleep quality, leading to inadequate diagnosis and treatment of sleep disturbances, as they lack comprehensive monitoring of movement, cardiac, and respiration signals.
Innovation Solution
A system comprising sensors for acquiring movement, cardiac, and respiration signals, a monitoring unit for assessing signal quality, and classification units to determine sleeping and waking phases based on predefined threshold values and features, allowing for accurate assignment of sleep phases to time periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors for movement, cardiac, and respiration signals are used, then measurement precision and reliability of sleep phase determination is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensors (movement sensor, cardiac signal sensor, respiration signal sensor) into a single integrated system with a unified control unit that processes all signals together. This merging approach maintains high measurement precision by utilizing multiple signal sources while reducing device complexity through centralized processing and integrated architecture.
Solution Approach 2:
The control unit is designed with multi-functionality to process movement signals, cardiac signals, and respiration signals through a single assessment and classification pathway. This universal processing capability allows the system to achieve accurate sleep phase determination across multiple signal types without requiring separate dedicated processing systems for each sensor type.
2Reliability
If signal quality assessment with threshold values is implemented, then reliability of sleep phase determination is improved, but device complexity increases
Solution Approach 1:
The control unit performs preliminary signal quality assessment by comparing incoming signals against stored threshold values before proceeding to sleep phase classification. This preliminary filtering action ensures that only reliable signals are used for determination, improving overall reliability while keeping processing complexity manageable through a structured two-stage approach (quality check then classification).
Solution Approach 2:
The system uses predefined threshold values that are automatically applied by the control unit without requiring manual intervention or complex adaptive algorithms. The threshold-based quality assessment operates autonomously, improving reliability through consistent criteria application while maintaining simplicity in the processing mechanism.
Data Source
AI summary
A method for determining at least one sleeping phase and/or one waking phase for at least one time span and a system having a control unit for determining at least one sleeping phase and/or one waking phase for at least one time span comprising a sensor for acquiring at least one movement signal, a sensor for acquiring at least one cardiac signal, a sensor for acquiring at least one respiration signal, a monitoring unit, which is configured to determine and/or assess a presence and/or a quality of the acquired movement, cardiac and respiration signals and one or more classification units, which are configured to determine a sleeping phase and/or waking phase on the basis of the determinations and assessments of the monitoring unit from the movement signals and/or the cardiac signals and/or the respiration signals.