Stroke Detection via Tissue Impedance and Multi-Sensor Fusion
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Solution Overview
Problem
Current stroke diagnosis methods are inadequate for timely detection and prediction, particularly for minor strokes that may go undiagnosed due to reliance on visible symptoms, leading to delayed treatment and reduced effectiveness of therapies.
Innovation Solution
A medical device system comprising implantable or external sensors with electrodes positioned near the head, capable of recording brain and cardiac electrical signals, tissue impedance, and motion data, which processes these signals to generate stroke metrics and predict stroke risk, facilitating early intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional stroke diagnosis methods relying on visible symptoms are used, then the diagnostic process is simple and easy to perform, but the detection accuracy is insufficient and minor strokes are missed
Solution Approach 1:
The patent combines multiple sensing functions (impedance sensing, EEG recording, ECG recording, motion sensing) into a single implantable medical device. This merging approach enables comprehensive stroke detection through multiple physiological parameters while using a single device implantation, thereby improving detection accuracy without proportionally increasing procedural complexity
Solution Approach 2:
The implantable medical device is designed to perform multiple functions: impedance measurement for blood volume detection, EEG for brain electrical activity, ECG for cardiac monitoring, and motion sensing. This multi-functionality allows the device to detect various stroke types and precursors through different physiological mechanisms, enhancing overall diagnostic capability
2Reliability
If comprehensive multi-parameter monitoring is implemented, then the stroke detection capability is improved, but the device complexity and number of components increase
Solution Approach 1:
Multiple sensing functions (impedance sensing, EEG recording, ECG recording, motion sensing) are integrated into a single implantable medical device housing, eliminating the need for multiple separate devices or leads. This reduces procedural complexity while maintaining comprehensive monitoring capability
Solution Approach 2:
The device simultaneously performs impedance measurement, EEG, ECG, and motion sensing through a unified platform, allowing reliable stroke prediction through multiple physiological parameters without requiring separate specialized devices for each function
3Loss of time
If rapid stroke detection is achieved through continuous monitoring, then the treatment time is reduced, but the energy consumption increases
Solution Approach 1:
The device performs impedance measurements at regular intervals (e.g., every 5-30 minutes) rather than continuously, while maintaining readiness to detect acute changes. This periodic sampling approach enables timely stroke detection while significantly reducing power consumption compared to continuous high-rate monitoring
Solution Approach 2:
The device maintains continuous monitoring capability through periodic measurements that collectively provide uninterrupted surveillance of stroke risk. The impedance sensing, EEG, and ECG functions operate in a continuous periodic manner, ensuring no critical events are missed while managing energy consumption through efficient duty cycling
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
The system enables early and accurate detection of stroke risk through continuous monitoring, improving timely intervention and treatment outcomes by integrating brain, cardiac, and motion signals, reducing the likelihood of undiagnosed minor strokes.
Implementation Method 1
sensing circuitry configured to: determine one or more tissue impedance values via the electrodes, wherein the one or more tissue impedance values vary as a function of ejection fraction of a heart of a patient
Data Source
AI summary
A system comprises a memory, a plurality of electrodes, sensing circuitry, and processing circuitry. The sensing circuitry configured to determine one or more tissue impedance values via the electrodes, wherein the tissue impedance values vary as a function of ejection fraction of a heart of a patient. The processing circuitry configured to determine, at least based on the one or more tissue impedance values, a stroke metric indicative of a stroke status of the patient, and store the stroke metric in a memory.