A new local thermal bioheat model for predicting the temperature of skin thermoreceptors of individual body tissues

Khiavi, Negin Moallemi; Maerefat, Mehdi; Zolfaghari, Seyed Alireza

doi:10.1016/j.jtherbio.2018.04.006

Cited by 21 publications

(9 citation statements)

References 36 publications

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“…On the other hand, thermal nociceptors, which detect pain signals, start to fire at temperatures around 45 C. These are cells specialized at detecting noxious heat and burns. [35] When a noxious stimulus is received by a thermal neuron located at the free nerve ending, an electrical response is sent to nociceptor to compare whether the amplitude crosses the threshold to generate an action potential and send to the central nervous system via the spinal cord (shown in red in Figure 1a).…”

Section: Conceptual Framework For Creating Artificial Somatosensorsmentioning

confidence: 99%

Artificial Somatosensors: Feedback Receptors for Electronic Skins

Rahman

Walia

Naznee

et al. 2020

Advanced Intelligent Systems

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The human skin is the largest sensory organ, made up of complex sensors that detect noxious stimuli to rapidly send warning signals to the central nervous system to initiate a motor response. It is complex to mimic key skin features using existing tactile sensors, and there exists no somatosensor that responds to real stimuli of pressure, temperature, and touch. Herein, three critical skin receptors created by realizing integrated electronic systems that mimic the feedback response of somatosensors are experimentally demonstrated. Fully functional Pacinian corpuscles, thermoreceptors, and nociceptors are realized using a combination of stretchable pressure sensors, phase‐change oxide thin films, and threshold‐based resistive switching (memristor) memory elements. The ability to detect and respond to pressure, temperature, and pain stimuli above a threshold with real‐life performance characteristics is demonstrated with explanation of underlying mechanisms. The ability to design and realize artificial skin receptors enables replacement of affected human skin regions, augment skin sensitivity for agile applications in defense and sports, and drive advancements in intelligent robotics.

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Section: Conceptual Framework For Creating Artificial Somatosensorsmentioning

confidence: 99%

Artificial Somatosensors: Feedback Receptors for Electronic Skins

Rahman

Walia

Naznee

et al. 2020

Advanced Intelligent Systems

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“…Despite this, the model does closely predict the skin temperatures and the transitions. The Tanabe 65MN model can be improved/ extended further as discussed in [10]. Addition of such extensions to the software is a subject of ongoing work.…”

Section: Comparison With Experimental Resultsmentioning

confidence: 99%

Comfort Simulator: A Software Tool to Model Thermoregulation and Perception of Comfort

Hussan¹,

Hunter

2020

JORS

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Thermophsyiological comfort is critical to well-being and optimal productivity of humans. Environmental changes, modern materials and novel occupational settings necessitate evaluation of their impact on comfort and inform both product design and occupational health. We present an open-source research software tool to simulate thermophysiological comfort for different human geometries, body-constitution conditions, clothing, ambient temperature, humidity and radiative heat flux conditions. The tool, developed using python, integrates a diverse set of models. The components that code the models can be easily replaced and the simulation pipeline can be executed with minimal disruption.

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“…The best individuals in the genetic algorithm were selected after a comparison between the measured and calculated temperatures. The comparison was performed using the mean and standard deviation (SD) of the difference between the temperatures calculated by the NHTM-P Munir model and the experimental results of Munir et al, 46 as well as the absolute error MAE and the maximum absolute error Err max defined in equations (16) to (19)…”

Section: Metric Of Qualitymentioning

confidence: 99%

“…Tables 5 and 6 give the values of the MAE and Err max between the temperatures calculated using the models of Pennes, 47 Fiala et al, 13 Tanabe et al, 14 Holopainen, 48 Khiavi et al, 16 Wissler, 33 the original NHTM model 32 and the NHTM-P Munir model, and the experimental measurements. 46 The results obtained show that NHTM-P Munir was the most accurate model for predicting rectal and mean skin temperatures.…”

Section: Optimization Of the Nhtm Modelmentioning

confidence: 99%

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Optimization of a neuro-human thermal model using a genetic algorithm

Kadri

Oliveira

Inard

et al. 2020

Indoor and Built Environment

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A neuro-human thermal model was optimized to increase the prediction accuracy of the physiological variables of a group of 15 healthy male students exposed to transient environmental conditions. The effect of both the passive and active systems parameters was studied using a sensitivity analysis, and the parameters that had the most influence on the neuro-human thermal model outputs were established. A genetic algorithm was then used to optimize the model in order to determine the parameters that corresponded to the studied population. The results showed that the optimization increased the precision of the neuro-human thermal model. The mean absolute error and the maximum error between the experimental data and the numerical results for mean skin temperature were 0.13°C and 0.56°C, respectively, and we obtained 0.03°C and 0.11°C, respectively, for rectal temperature. These results show that the neuro-human thermal model can be accurately adjusted for the rectal, mean and local skin temperatures of a targeted population by using a genetic algorithm to determine the values of the parameters that correspond to this population.

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A new local thermal bioheat model for predicting the temperature of skin thermoreceptors of individual body tissues

Cited by 21 publications

References 36 publications

Artificial Somatosensors: Feedback Receptors for Electronic Skins

Artificial Somatosensors: Feedback Receptors for Electronic Skins

Comfort Simulator: A Software Tool to Model Thermoregulation and Perception of Comfort

Optimization of a neuro-human thermal model using a genetic algorithm

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