Backpropagation ANN-Based Prediction of Exertional Heat Illness
Journal of Medical Systems
Computer Methods and Programs in Biomedicine
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The present work is concerned to model the molecular signalling pathway for vasodilation and to predict the resting young human forearm blood flow under heat stress. The mechanistic electronic modelling technique has been designed and implemented using MULTISIM 8.0 and an assumption of 1V/^oC for prediction of forearm blood flow and the digital logic has been used to design the molecular signalling pathway for vasodilation. The minimum forearm blood flow has been observed at 35^oC (0ml100ml^-^1min^-^1) and the maximum at 42^oC (18.7ml100ml^-^1min^-^1) environmental temperature with respect to the base value of 2ml100ml^-^1min^-^1. This model may also enable to identify many therapeutic targets that can be used in the treatment of inflammations and disorders due to heat-related illnesses.