Temperature (TMP)

High-resolution medical-grade sensor, specially designed for body and ambient temperature monitoring.

The biosignalsplux Temperature sensor is specifically developed for biosignal research applications where it can be used to measure corporal or ambient temperatures. The sensor produces an accurate analog output signal with short response times to temperature alterations.

The medical-grade PVC insulation of the Temperature sensor allows a safe use of this sensor even when in direct skin contact. Additionally, the small form-factor of the sensor and small diameter of the sensing element (~2mm) enable possibilities of local and accurate temperature measurements within a 0ºC and 50ºC temperature range.

Features
  • Medical-grade PVC insulation
  • Short response times
  • High signal-to-noise ratio
  • Pre-conditioned analog output
  • Ready-to-use & miniaturized form-factor
Type NTC thermistor
Element diameter 2.04mm
Connector Type UC-E6 (Male)
Range 0ºC-50ºC
Cable Length 100cm±0.5cm (customizable)

This sensor is not a standalone use sensor and requires the use of a biosignalsplux hub and electrodes in order to acquire any data. It can be included in the following biosignalsplux kits which come with all the needed hardware and accessories for TMP data acquisition:

T. Zlatar, J. Oliveira, J. Cardoso, D. Bustos, J. Guedes, J. Baptista, Influence of Severe Cold Thermal Environment on Thermal Sensation and Physiological Responses, in Occupational and Environmental Safey and Health, 2019

E. Costa, J. Baptista, J. Carvalho, Mental Fatigue Assessment in Different Thermal Environments-Protocol, in Journal of Spatial and Organizational Dynamics, vol. 6, no. 1, pp. 29-39, 2018

A. Kamenz, V. Bibaeva, A. Bernin, S. Ghose, K. von Luck, F. Vogt, L. Müller, Classification of Physiological Data in Affective Exergames, in Proc. of the IEEE Symposium Series on Computational Intelligence (SSCI), pp. 2076-2081, 2018

J. Pagán, J. Risco-Martín, J. Moya, J. Ayala, Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases., in Journal of Biomedical Informatics, vol. 62, pp. 136-147, 2016

F. Canento, A. Fred, H. Silva, H. Gamboa, A. Lourenço, Multimodal biosignal sensor data handling for emotion recognition, in Sensors, pp. 647-650, 2011

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