Wearable Thermoregulation Device with Predictive Hot-Flash Cooling
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Solution Overview
Problem
Current wearable thermoregulation devices lack efficient and predictive cooling mechanisms for managing hot flashes, often failing to detect temperature rises early enough to prevent discomfort.
Innovation Solution
A wearable thermoregulation device equipped with a thermoelectric cooler, skin temperature sensors, and a control algorithm that uses firmware to detect rapid temperature rises and initiate cooling before the user experiences discomfort, incorporating features like a PID loop for temperature control and a body area network for multiple sensor communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If a thermoelectric device is used to cool the skin, then cooling effect is achieved, but response time is delayed and discomfort occurs
Solution Approach 1:
The system performs preliminary cooling action by detecting early signs of hot flash (temperature rise trend, heart rate increase, skin conductivity change) and initiating thermoelectric cooling before the user experiences discomfort. This advance intervention prevents the temperature from reaching uncomfortable levels, resolving the contradiction between achieving cooling effect and responding in time.
Solution Approach 2:
The system continuously monitors multiple physiological parameters (skin temperature, heart rate, skin conductivity) and uses this feedback to dynamically adjust the thermoelectric device operation. This real-time feedback loop enables the system to respond appropriately to changing physiological states, optimizing both response time and cooling effectiveness.
2Measurement precision
If multiple sensors are used to detect physiological parameters, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The system combines multiple sensor types (temperature sensor, heart rate sensor, skin conductivity sensor) into an integrated monitoring unit that shares common processing and control infrastructure. This merging approach improves measurement precision through multi-parameter detection while minimizing the increase in device complexity by consolidating sensor interfaces and data processing pathways.
Solution Approach 2:
The control system is designed to handle multiple sensor inputs and perform multiple functions (detection, analysis, control) using a unified architecture. This multi-functional approach allows the system to process data from various sensors and execute different control strategies without requiring separate dedicated systems for each function, thereby improving detection accuracy while controlling overall complexity.
3Reliability
If predictive cooling is implemented using multiple parameters, then cooling effectiveness is improved, but control algorithm complexity increases
Solution Approach 1:
The control algorithm implements predictive cooling by analyzing trends in multiple physiological parameters (temperature rise rate, heart rate acceleration, skin conductivity changes) to forecast upcoming hot flash events. By detecting these early trends and initiating cooling before full hot flash symptoms manifest, the system improves cooling effectiveness while using relatively simple trend-analysis logic rather than complex predictive models.
Solution Approach 2:
The system applies cooling based on partial information from multiple parameters rather than requiring complete confirmation of hot flash onset. By using threshold-based detection on individual parameters and combining them with simple logical rules, the algorithm achieves reliable predictive cooling without the computational complexity of sophisticated multi-variable predictive models.
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 device effectively predicts and mitigates hot flashes by initiating cooling before the user feels discomfort, extending the summary to include the use of a PID loop and body area network for enhanced temperature control and sensor communication.
Implementation Method 1
a thermoelectric device that is configured to controllably heat and cool a control surface
Data Source
AI summary
A wearable thermoregulation device configured to be worn on the body of a user with a thermoelectric device that is configured to controllably heat and cool a control surface, a power source that is configured to provide power to operate the thermoelectric device and either heat or cool the control surface, a controller that is configured to control the thermoelectric device, one or more sensors such as a skin temperature sensor that is configured to sense skin temperature over time, an accelerometer, and/or a pulse oximeter, and a carrier structure that carries the thermoelectric device, the power source, the sensor(s), and the controller. The carrier structure is configured to be removably carried on the body of a user such that the heated and cooled control surface and the temperature sensor and/or pulse oximeter are in direct contact with the user's skin. The sensor(s) are isolated from effects generated by the thermoelectric device. The controller is configured to determine a skin temperature increase and/or vasodilation increase over time that is indicative of the onset of a hot-flash event. In response to the determination of a hot-flash event, the controller causes the thermoelectric device to cool the control surface. The sensor(s) continues to sense without thermal influence by the control surface while the control surface is cooled.