Sleep Stage Detection for Adaptive Therapy Delivery
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Solution Overview
Problem
Current medical therapies for neurological disorders often disrupt sleep quality, exacerbating symptoms and failing to adapt treatment based on the patient's specific sleep stage, leading to ineffective symptom management.
Innovation Solution
A system that determines a patient's sleep stage through biosignal analysis, allowing for controlled therapy delivery tailored to the detected sleep stage, including adjusting or deactivating therapy to conserve energy and improve sleep quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If medical therapy is delivered continuously to treat neurological disorders, then symptom management is maintained, but sleep quality deteriorates and energy consumption increases
Solution Approach 1:
The therapy delivery system dynamically adjusts therapy parameters based on detected sleep stages. The system transitions from continuous static therapy delivery to dynamic adaptive therapy delivery that responds to physiological state changes, thereby reducing energy consumption during sleep while maintaining symptom management control
Solution Approach 2:
The system implements periodic therapy delivery synchronized with sleep-wake cycles and sleep stage transitions. Therapy is delivered in periodic intervals corresponding to alert states rather than continuously, allowing energy conservation during sleep periods while maintaining therapeutic effectiveness through rhythmic stimulation patterns
2Reliability
If medical therapy is delivered continuously to treat neurological disorders, then symptom management is maintained, but sleep quality deteriorates
Solution Approach 1:
The system dynamically adapts therapy delivery to the patient's physiological state by detecting sleep stages and adjusting therapy parameters accordingly. This dynamic control prevents therapy-induced sleep disturbances while maintaining symptom management during wakeful states
Solution Approach 2:
The system incorporates feedback from physiological sensors that detect sleep stage transitions. This feedback loop allows the therapy delivery system to respond to actual physiological states, preventing harmful effects on sleep quality while maintaining therapeutic benefit through state-dependent control adjustments
3Reliability
If sleep stage detection and adaptive therapy control are implemented, then sleep quality and symptom management are improved, but device complexity increases
Solution Approach 1:
The implantable device is designed with multi-functionality, integrating both therapy delivery and sleep stage detection capabilities within a single system. This universal design eliminates the need for separate monitoring and treatment devices, reducing overall system complexity while enabling adaptive control
Solution Approach 2:
The system merges the therapy delivery function with physiological monitoring functions into a unified control system. By combining sensor inputs, processing logic, and actuation mechanisms into an integrated architecture, the system achieves adaptive therapy control without proportionally increasing device complexity
Data Source
AI summary
Therapy delivery to a patient may be controlled based on a determined sleep stage of the patient. In examples, the sleep stage may be determined based on a frequency characteristic of a biosignal indicative of brain activity of the patient. A frequency characteristic may include, for example, a power level within one or more frequency bands of the biosignal, a ratio of the power level in two or more frequency bands, or a pattern in the power level of one or more frequency bands over time. A therapy program may be selected or modified based on the sleep stage determination. Therapy may be delivered during the sleep stage according to the selected or modified therapy program. In some examples, therapy delivery may be controlled after making separate determinations of a sleep stage based on the biosignal and another physiological parameter, and confirming that the sleep stage determinations are consistent.