SSVEP-Based Sleep Need Dissipation Monitoring
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Solution Overview
Problem
Existing sleep monitoring systems require subjects to wear EEG electrodes during sleep sessions, disrupting sleep and introducing artifacts that hinder accurate measurement of sleep need dissipation, necessitating a method to quantify sleep without continuous EEG recording.
Innovation Solution
A system using repetitive visual stimulation (RVS) to determine steady state visually evoked potential (SSVEP) responses before and after sleep sessions, comparing these responses to assess sleep need dissipation without monitoring brain activity during sleep, utilizing sensory stimulators and sensors with hardware processors to process and analyze the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If EEG electrodes are worn during sleep sessions for continuous monitoring, then measurement precision of sleep need dissipation is improved, but the subject's sleep is disrupted and artifacts are introduced
Solution Approach 1:
The system performs preliminary measurement of the SSVEP response before the sleep session to establish a baseline, then performs a second measurement after the sleep session. By comparing the pre- and post-sleep SSVEP responses, the system determines sleep need dissipation without requiring continuous EEG monitoring during sleep, thereby avoiding sleep disruption and artifacts while still achieving accurate measurement.
2Reliability
If continuous EEG recording is used during sleep sessions, then sleep need dissipation can be monitored, but device complexity and subject burden increase
Solution Approach 1:
The invention extracts the essential measurement function from continuous EEG monitoring by using only brief pre-sleep and post-sleep SSVEP assessments. This extracts the core capability to determine sleep need dissipation while removing the complex and burdensome requirement for continuous EEG recording during the entire sleep session.
3Measurement precision
If SSVEP response is measured with higher signal-to-noise ratio, then measurement precision is improved, but exposure time to visual stimulation must be increased
Solution Approach 1:
The system uses periodic visual stimulation at a steady-state frequency to elicit SSVEP responses. This periodic action allows the brain to synchronize with the stimulation frequency, producing a strong, measurable response that achieves high signal-to-noise ratio within a relatively short exposure time, avoiding the need for prolonged stimulation.
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
This approach allows for the quantification of sleep need dissipation with higher signal-to-noise ratio and reduced exposure time, facilitating convenient and accurate sleep monitoring without the need for continuous EEG recording, suitable for applications like sleep hygiene coaching and medication effectiveness monitoring.
Implementation Method 1
determine a first steady state visually evoked potential (SSVEP) response of the subject based on the output signals during the first RVS
Data Source
AI summary
A system configured to determine sleep need dissipation without monitoring brain activity during a sleep session. The system comprises a sensory stimulator configured to provide repetitive visual stimulation (RVS); a sensor configured to generate output signals conveying information related to brain activity; and one or more hardware processors configured to: before the sleep session, cause the one or more sensory stimulators to provide first RVS, and determine a first steady state visually evoked potential (SSVEP) response based on the output signals during the first RVS; and after the sleep session, cause the one or more sensory stimulators to provide second RVS, determine a second SSVEP response based on the output signals during the second RVS; compare the second SSVEP response to the first SSVEP response, and determine the sleep need dissipation for the sleep session based on the comparison.