Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/73551
Título: A method to determine human skin heat capacity using a non-invasive calorimetric sensor
Autores/as: Rodriguez De Rivera Socorro, Pedro Jesús 
Rodríguez de Rivera, Miriam
Socorro, Fabiola 
Rodríguez de Rivera, Manuel 
Marrero Callicó, Gustavo 
Clasificación UNESCO: 33 Ciencias tecnológicas
Palabras clave: Direct Calorimetry
Heat Capacity
Heat Conduction Calorimeters
Human Skin
Medical Calorimetry, et al.
Fecha de publicación: 2020
Publicación seriada: Sensors 
Resumen: A calorimetric sensor has been designed to measure the heat flow dissipated by a 2 x 2 cm2 skin surface. In this work, a non-invasive method is proposed to determine the heat capacity and thermal conductance of the area of skin where the measurement is made. The method consists of programming a linear variation of the temperature of the sensor thermostat during its application to the skin. The sensor is modelled as a two-inputs and two-outputs system. The inputs are 1) the power dissipated by the skin and transmitted by conduction to the sensor, and 2) the power dissipated in the sensor thermostat to maintain the programmed temperature. The outputs are 1) the calorimetric signal and 2) the thermostat temperature. The proposed method consists of a sensor modelling that allows the heat capacity of the element where dissipation takes place (the skin) to be identified, and the transfer functions (TF) that link the inputs and outputs are constructed from its value. These TFs allow the determination of the heat flow dissipated by the surface of the human body as a function of the temperature of the sensor thermostat. Furthermore, as this variation in heat flow is linear, we define and determine an equivalent thermal resistance of the skin in the measured area. The method is validated with a simulation and with experimental measurements on the surface of the human body.
URI: http://hdl.handle.net/10553/73551
ISSN: 1424-8220
DOI: 10.3390/s20123431
Fuente: Sensors (Switzerland) [ISSN 1424-8220], v. 20 (12), 3431, (Junio 2020)
Colección:Artículos
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