Wrist Actigraphy Sleep Monitoring with Auditory Stimulation
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Solution Overview
Problem
Wrist actigraphy has limitations in discriminating sleep stages and accurately detecting wakefulness, as it cannot differentiate between N1 to N3 stages of sleep and quiet wakefulness, leading to low specificity and questionable validity in measuring sleep quality, especially in clinical populations with fragmented sleep.
Innovation Solution
Combining actigraphy with sensory stimulation, such as auditory or tactile stimuli, to induce microarousals and monitor physiological parameters like heart rate and movement, allowing for improved recognition of sleep stages by distinguishing between different sleep phases and wakefulness episodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wrist actigraphy is used for sleep monitoring, then measurement simplicity and cost-effectiveness are improved, but sleep stage discrimination capability deteriorates
Solution Approach 1:
The patent combines multiple measurement modalities (actigraphy, auditory stimulation, and physiological sensing) into an integrated system. The actigraphy device merges movement detection with stimulation delivery and physiological parameter monitoring, allowing comprehensive sleep stage assessment while maintaining wearability and ease of use.
Solution Approach 2:
The patent introduces auditory stimulation as an intermediary tool to probe sleep stages. By presenting sounds at different intensities and analyzing the subject's responses (microarousals, movements, physiological changes), the system indirectly determines sleep stage information that cannot be directly observed through actigraphy alone.
2Ease of operation
If wrist actigraphy is used for sleep monitoring, then unobtrusive measurement is improved, but wakefulness detection specificity deteriorates
Solution Approach 1:
The system performs preliminary probing with auditory stimuli before making wakefulness determinations. By presenting sounds at progressively intensifying levels and observing responses, the system gathers preliminary data about the subject's arousal threshold and consciousness state, which then informs the final wakefulness classification.
Solution Approach 2:
The patent implements feedback loops where the system continuously monitors actigraphy data, physiological parameters, and stimulation responses, then adjusts subsequent stimulation protocols and wakefulness determinations based on observed patterns. This closed-loop approach improves specificity by learning from each subject's individual response characteristics.
3Measurement precision
If sensory stimulation is added to actigraphy, then sleep stage detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent designs the actigraphy device to perform multiple functions: movement detection, auditory stimulation delivery, physiological parameter sensing, and data processing. By making the device universal and multi-functional, the system avoids requiring separate dedicated devices for each measurement modality, thereby limiting the increase in complexity.
Solution Approach 2:
The system uses the subject's own physiological responses to stimulation as the measurement mechanism. The subject's natural microarousals, movements, and physiological changes in response to sounds serve as the data source, eliminating the need for complex external measurement equipment or invasive procedures.
Data Source
AI summary
Sleep monitoring and stimulation comprises collecting actigraphy data from a user. The user's sleep phase is determined using the actigraphy data. At least one stimulation, determined at least in part on the sleep phase, is directed towards the user. Subsequent actigraphy data is collected from the user. The actigraphy data and subsequent actigraphy data is used to determine the user's subsequent sleep phase. The stimulation is modified, based at least in part upon the subsequent sleep phase.