Wearable Stroke Detection via Thermal Vasodilation
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Solution Overview
Problem
Current stroke detection methods are challenging due to the heterogeneous and often painless nature of stroke symptoms, which can mimic other health events, leading to delayed interventions and suboptimal outcomes, especially since strokes can occur during sleep, making timely detection difficult.
Innovation Solution
A wearable system that includes a heat source, skin temperature sensor, blood volume sensor, and environmental temperature sensor, which heats the skin to a target temperature and compares baseline and subsequent blood volume signals to detect anomalous biologic events, such as strokes, by measuring vasodilation responses and asymmetrical limb movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional stroke detection methods are used, then the detection process is simple, but the detection accuracy is low due to heterogeneous and painless symptoms that mimic other health events
Solution Approach 1:
The system segments stroke detection into multiple independent measurement components: skin temperature monitoring, blood volume pulse analysis, vasodilation response measurement, and limb movement detection. Each component measures a specific physiological parameter that, when combined, provides comprehensive stroke detection capability while maintaining individual measurement simplicity
Solution Approach 2:
The system merges multiple physiological measurement modalities (thermal, optical, motion sensors) into a single integrated wearable device. This combination allows the system to detect heterogeneous stroke symptoms through multiple channels simultaneously, improving detection accuracy by cross-validating signals from different physiological systems
2Reliability
If continuous monitoring is implemented to detect strokes during sleep, then detection coverage is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic thermal stimulation cycles rather than continuous heating, with blood volume pulse measurements taken at specific intervals during and after heating phases. This periodic measurement approach maintains detection reliability by capturing physiological responses at critical moments while allowing the device to enter low-power states between measurements
Solution Approach 2:
The system performs preliminary thermal stimulation to induce vasodilation before actual stroke detection measurements are taken. This preliminary action prepares the physiological system for detection, making subsequent measurements more sensitive to stroke-related changes while allowing the device to use lower power during the actual detection phase
3Measurement precision
If multiple physiological parameters are monitored to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses universal physiological responses (vasodilation to thermal stimulus, blood volume pulse changes) that can be measured by relatively simple sensors. These universal responses serve multiple detection purposes: they indicate both normal physiological function and stroke-related abnormalities, allowing a single measurement system to perform multiple detection functions without requiring specialized sensors for each parameter
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 wearable system enables early and accurate detection of strokes by monitoring vasodilation responses and asymmetrical movements, potentially reducing delays in intervention and improving patient outcomes by providing timely care.
Implementation Method 1
a heat source configured to heat the skin surface to a target temperature
Implementation Method 2
a blood volume sensor configured to measure a blood volume of the skin surface
Data Source
AI summary
A system for detecting an anomalous event in a person includes a body in contact with a skin surface of a person; a heat source for heating the skin surface to a target temperature; a skin temperature sensor for measuring a temperature of the skin surface in contact with the heat source; a blood volume sensor for measuring a blood volume of the skin surface; and a hardware processor communicatively coupled to the heat source, the blood volume sensor, the skin temperature sensor, and an environmental temperature sensor. The hardware processor is configured to receive a baseline blood volume signal, output a heating signal to the heat source to initiate a heating cycle, receive a second blood volume signal from the blood volume sensor, compare the second blood volume signal to the baseline blood volume signal, and determine whether an anomalous biologic event has occurred.