A Conformable Two-Dimensional Resistance Temperature Detector for Measuring Average Skin Temperature

Various medical procedures are accomplished by manipulating skin temperature in a nonuniform pattern. Skin temperature monitoring is essential to assess conformance to protocol specifications and to prevent thermal injury. Existing solutions for skin temperature monitoring include single point sensors, such as thermocouples, and two-dimensional methods of sensing surface temperature, such as infrared thermography, and wearable technology. Single point sensors cannot detect the average temperature and consequently their measurements cannot be representative of average surface temperature in a nonuniform temperature field. Infrared thermography requires optical access, and wearable sensors may require complex manufacturing processes and impede the heat exchange with a source by introducing a layer of insulation. Our solution is a two-dimensional resistance temperature detector (2D RTD) created by knitting copper magnet wire into custom shapes. The 2D RTDs were calibrated, compared to one-dimensional sensors and wearable sensors, and analyzed for hysteresis, repeatability, and surface area conformation. Resistance and temperature were correlated with an R2 of 0.99. The 2D RTD proved to be a superior device for measuring average skin temperature exposed to a nonuniform temperature boundary in the absence of optical access such as when a full body thermal control garment is worn.

Kalman Filter Estimation and Its Implementation

In this chapter, we use the Kalman filter to estimate the future state of a system. We present the theory, design, simulation, and implementation of the Kalman filter. We use as a case example the estimation of temperature using a Resistance Temperature Detector (RTD), which has not been reported before. After a brief literature review, the theoretical analysis of a Kalman filter is presented along with that of the RTD. The dynamics of the RTD system are analytically derived and identified using Matlab. Then, the design of a time-varying Kalman filter using Matlab is presented. The solution to the Riccati equation is used to estimate the future state. Then, we implement the design using C-code for a microprocessor ATMega328. We show under what conditions the system may be simplified. In our case, we reduced the order of the system to that of a system having a 1st order response, that of an RC system, giving us satisfactory results. Furthermore, we can find two first order systems whose response defines two boundaries inside which the evolution of a second order system remains.

Analysis of Micro Structure and the Resistivity of Cu / Ni Thin Coat as a Low Temperature Sensor Using Electroplating Method Assisted with Magnetic Field outside of the Ion Flow

Preservation of materials using liquid nitrogen media has been widely used. One of them is used in the medical field, namely cryonic technology. Cryonics is a method of preservation at cold temperatures using a cryoprotectant in liquid nitrogen. To maintain the quality of the material, a sensor that can detect the temperature of liquid nitrogen is needed. Low temperature sensors with Cu and Ni based Resistance Temperature Detector with layers (RTD) have been made, but these sensors have a layer of Ni deposits that are not yet homogeneous. So quality improvement is needed by adding an external magnetic field. Based on this, the aim of this research is to synthesize a thin layer of Cu / Ni using electroplating method assisted by external magnets parallel to the ion currents

Metrological characterisation of a textile temperature sensor in archaeological usage

<p>This paper presents the study of a new generation textile temperature sensor in two different heated ovens. The first chamber was used to evaluate temperature and the second was used to evaluate both temperature and humidity. Data acquisition systems based on LabVIEW and Agilent were developed using thermocouples and Pt100 sensors. The results show many metrological characteristics that prove that the sensor is a resistance temperature detector.</p>