Wearable Vagus Nerve Stimulation System With Closed-Loop Control
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Solution Overview
Problem
There is a lack of universal predefined treatment guidelines for complex health issues such as Postural Tachycardia Syndrome (POTS) and Long COVID, due to their heterogeneous nature and responsiveness to treatments being impacted by various factors like patient state and actions.
Innovation Solution
A medical management system that includes a wearable device capable of long-term patient data acquisition, analysis, and real-time adjustment of vagus nerve stimulation (VNS) treatment plans, incorporating sensors to capture patient parameters and a control unit to direct stimulation devices based on data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed treatment plan is used for vagus nerve stimulation, then the treatment protocol is simple to implement, but it cannot adapt to individual patient responses and varying health conditions
Solution Approach 1:
The treatment plan transitions from a static, pre-defined protocol to a dynamic system that automatically adjusts stimulation parameters based on real-time sensor data. The control unit continuously monitors patient physiological parameters and modifies treatment delivery accordingly, enabling the system to adapt to individual patient responses and varying health conditions while maintaining manageable complexity through automated decision-making algorithms.
Solution Approach 2:
The system incorporates continuous feedback loops where sensors monitor patient physiological parameters during treatment, and this data is fed back to the control unit which adjusts stimulation parameters in real-time. This closed-loop feedback mechanism enables the treatment plan to adapt to individual patient responses without requiring complex manual intervention, as the system autonomously processes sensor data and modifies delivery parameters.
2Reliability
If treatment parameters are manually adjusted based on patient responses, then personalized treatment is achieved, but it requires frequent medical interventions and reduces treatment efficiency
Solution Approach 1:
The system enables self-adjustment of treatment parameters through automated control algorithms that process sensor data and modify stimulation delivery without requiring manual medical intervention. The control unit autonomously interprets patient physiological data and adjusts treatment parameters to maintain optimal effectiveness, allowing the system to serve itself in terms of parameter optimization while ensuring reliable and efficient treatment delivery.
Solution Approach 2:
The manual adjustment process is replaced with an automated electronic control system that uses sensor data and algorithms to adjust treatment parameters. This substitution of mechanical/manual adjustment with electronic automation maintains treatment effectiveness through continuous monitoring while significantly improving treatment delivery efficiency by eliminating the need for frequent manual interventions.
3Measurement precision
If multiple sensors are used to capture comprehensive patient data, then treatment personalization is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The control unit is designed as a multi-functional component that handles data acquisition from multiple sensors, processes various types of physiological data, and manages treatment parameter adjustment across different stimulation modes. This universal control architecture consolidates multiple functions into a single integrated system, enabling comprehensive patient monitoring and treatment personalization without proportionally increasing overall system complexity, as the control unit efficiently manages diverse sensor inputs and treatment outputs through unified processing logic.
Data Source
AI summary
A medical management system is provided that includes components to monitor a patient and manage vagus nerve stimulation (VNS), such as transcutaneous VNS (tVNS). Patient data indicating patient parameters are captured by sensors of a wearable device intended for long-term wear by the patient. The resulting patient data are analyzed to gain information on the treatment and aspects of the person that may facilitate a closed loop treatment system to make adjustments, such as changes to timing factors for treatments, as well as making comprehensive decisions about treatment plans, such as foregoing one modality of treatment for another, discontinuing treatment, or augmenting with additional types of treatment.