To take an assortment of readings during a single experiment, the logger sensor can be attached to another sensor one to 10 logger sensors can be used per experiment (sensors sold individually).
Neulog galvanic skin response sensor Offline#
The logger sensor is encased in durable plastic, and has an LED indicator to track experiment status, with push buttons for calibration and startstop experiments in offline mode for ease of operation.
Neulog galvanic skin response sensor software#
The logger sensor’s browser-based software adjusts ranges and gains, and provides applications for presenting data, including online and offline modes, tables, graphs, data analysis, double-axis set up, statistic operations, and mathematical operations.
The logger sensor sends data in digital format to a PC, Mac, tablet, smart phone, or other viewer device, and provides multiple connection options, including USB and wireless. The GSR logger sensor can be used for biology, physiology, and psychology experiments, and is suitable for grade 3 and higher, or ages 10 to 21.p pThe logger sensor consists of a data logger, flash memory, and a sensor for fully self-contained data gathering, and is plug-and-play for immediate readings as soon as it is connected. The logger sensor has an experiment duration of 1.0 second to 31.0 days, and 16.0-bit analog-to-digital converter (ADC) resolution for reading a range of values. Nylon is very strong and flexible, has excellent abrasion resistance, is lightweight, and resists crushing and cracking. The logger sensor has an attached GSR probes (power and ground) to detect conductivity changes, and two nylon finger connectors for attaching to the subject. The logger sensor can be used to study physiological and psychological relationships and responses to stimuli, lie detection, and for human biology demonstrations for further research. The focus of this paper is the computational sensitivity analysis.PNeuLog galvanic skin response (GSR) logger sensor measures changes in the skin’s conductivity, especially fingers, due to stimulus, such as sudden noise, smell, touch, and pain. Knowledge gained from the modeling and experimental efforts will be utilized in characterizing lesions in patient studies. Future work will focus on comparing the results of our 2D numerical modeling efforts with the experimental results using a skin tissue-mimicking phantom. The work reported in the paper is a portion of a comprehensive research effort involving experiments on a phantom model as well as measurements on patients. It is observed that variations in these parameters have little impact on the surface temperature distribution. A sensitivity study of surface temperature distribution to variations of thermophysical properties, blood perfusion rate, and thicknesses of skin layers is performed. This work validates the idea of examining the transient thermal response and using thermal imaging as a solution for lesion identification. We explore the extent to which we are able to draw conclusions regarding the size, depth and nature of subsurface structures and accuracy of these conclusions based on the surface temperature response alone.
A sensitivity study is conducted first to better understand the thermal response of the system and the role of various system and model parameters. A numerical model using the finite element method is described to obtain this response and key results are reported in the paper. We study the use of the transient thermal response of skin layers to determine to which extent the surface temperature distribution reflects the properties of subsurface structures, such as lesions.
These contours are characteristic of the structure’s shape, depth, and its thermal properties. These imaging techniques are based on the following principle: when a surface is heated or cooled, variations in the thermal properties of a structure located underneath the surface result in identifiable temperature contours on it. The increased availability of thermal imaging cameras has led to a growing interest in the application of infrared imaging techniques to the detection and identification of subsurface structures.
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