Implantable ECG Monitor for Stroke Detection via Questionnaire Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting strokes in patients with implantable medical devices are inadequate for timely and accurate identification, as they often rely solely on electrocardiac signal changes that can also occur due to cardiac ischemia, leading to potential misdiagnosis and delayed medical intervention.
Innovation Solution
An implantable medical device that senses electrocardiac signals to detect stroke indicators such as prominent U-waves, notched T-waves, changes in ST segment duration, and QT duration, and uses a subcutaneous ECG-based monitor system in conjunction with an external bedside monitor to generate a questionnaire for family or caregivers to confirm the stroke, allowing for prompt notification of emergency personnel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If stroke detection is based solely on electrocardiac signal changes, then detection speed is improved, but diagnostic accuracy deteriorates due to potential misdiagnosis from cardiac ischemia
Solution Approach 1:
The detection system is segmented into multiple independent components: ECG signal analysis, questionnaire assessment, and automated notification systems. Each component operates semi-independently to provide comprehensive stroke detection while reducing reliance on any single method, thereby maintaining detection speed while improving diagnostic accuracy through multi-modal verification.
Solution Approach 2:
A questionnaire is introduced as an intermediary tool between ECG signal detection and final diagnosis. The questionnaire assesses neurological symptoms (speech, vision, motor function) to verify stroke suspicion, acting as a mediator that filters false positives from cardiac ischemia while maintaining rapid detection through automated delivery and interpretation.
2Measurement precision
If a comprehensive questionnaire is administered to confirm stroke, then diagnostic accuracy is improved, but time for medical intervention increases
Solution Approach 1:
The system performs self-service by automatically delivering the questionnaire through the implantable device or external monitor, automatically scoring the responses, and immediately integrating results with ECG data to confirm or rule out stroke. This eliminates manual administration time and enables rapid processing, maintaining diagnostic accuracy while minimizing intervention delay.
Solution Approach 2:
The questionnaire is prepared and delivered in advance as part of the detection protocol, with response options pre-configured based on common stroke symptoms. This preliminary preparation allows for immediate assessment upon symptom presentation, reducing the time required for comprehensive evaluation while maintaining diagnostic rigor.
3Reliability
If ECG signal monitoring is continuously performed, then detection reliability is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic ECG monitoring with variable sampling rates rather than continuous high-resolution recording. The implantable device performs rhythm analysis at lower power consumption modes, escalating to more intensive monitoring only when arrhythmias or stroke-risk patterns are detected, thereby maintaining detection reliability while significantly reducing overall energy consumption.
Data Source
AI summary
Techniques are provided for detecting stroke within a patient using an implantable medical device in conjunction with an external confirmation system. In one example, a preliminary detection of stroke is performed by a subcutaneous monitor based on an analysis of features of an electrocardiogram (ECG) sensed within the patient. Exemplary ECG features indicative of possible stroke include the onset of prominent U-waves, the onset of notched T-waves, and changes in ST segment duration or QT duration or dynamic trends in these parameters. The monitor transmits a signal indicative of possible stroke to a bedside monitor or other external system, which generates a stroke questionnaire for use in confirming the stroke. Family members or other caregivers input answers to the questionnaire into the external system, which confirms or disconfirms the stroke. Emergency personnel can be automatically notified. Implantable systems that detect stroke based on intracardiac electrogram (IEGM) signals are also described herein.