Wearable Electrostimulation Device with Auxiliary Sensors for Sleep Data
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Solution Overview
Problem
Current treatments for sleep disorders like Restless Legs Syndrome (RLS) and Periodic Limb/Leg Movement Disorder (PLMD) face challenges in personalization and optimization due to the lack of mechanisms to gather data on native sleep routines, relying on lab research or patient accounts, which are often unreliable and difficult to obtain.
Innovation Solution
A wearable electrostimulation device system that includes sensors to collect data on heart rate, oxygenation, leg movement, and sleep environment, allowing for data-driven personalization of treatment and automated adjustment of electrostimulation protocols based on sleep quality feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wearable electrostimulation device with sensors is used to collect sleep data, then treatment personalization and optimization are improved, but device complexity increases
Solution Approach 1:
The wearable electrostimulation device integrates multiple functions including electrostimulation delivery, sleep data collection via auxiliary sensors, and environmental monitoring within a single unified system. This multi-functionality approach allows the device to provide both therapy and data gathering capabilities, enabling treatment personalization without requiring separate dedicated devices for each function.
Solution Approach 2:
The patent introduces an intermediary processing system that collects data from multiple sensors (heart rate, oxygenation, leg movement, environment) and processes this information to generate personalized treatment protocols. This intermediary layer between data collection and therapy delivery simplifies the overall system architecture by centralizing the complex data processing and decision-making functions.
2Measurement precision
If auxiliary sensors are integrated into the wearable device or charger, then sleep quality monitoring capability is improved, but manufacturing complexity increases
Solution Approach 1:
The system divides the monitoring functionality into separate auxiliary sensors that can be independently manufactured and then integrated into either the wearable electrostimulation device or the charger. This segmentation allows each sensor component to be produced using standard manufacturing processes, reducing overall manufacturing complexity while still achieving comprehensive sleep quality monitoring when the components are assembled.
3Productivity
If data collection from multiple sensors is implemented, then treatment optimization capability is improved, but loss of information increases
Solution Approach 1:
The system implements feedback mechanisms where data from multiple sensors (heart rate, oxygenation, leg movement, environmental factors) are continuously collected and processed to provide real-time information about sleep quality and treatment effectiveness. This feedback loop enables automated adjustment of electrostimulation parameters and provides clinicians with comprehensive data for treatment optimization, ensuring that information from all sensors is effectively utilized rather than lost.
Data Source
AI summary
A system for monitoring or treating RLS or PLMD can include or use a leg-wearable electrostimulation device for acquiring auxiliary data from a subject at a first leg location at which the device is worn, the first leg-wearable electrostimulation device including or using a first neurostimulation delivery device, an impedance sensor configured for determining an impedance via the first and second skin electrodes, and an auxiliary sensor configured for detecting the auxiliary data of the first leg location at which the device is worn.