The traditional methods adopted to monitor physical parameters, like heart beat rate or exertion level, are not suitable for real-time measurements.
In addition protective ventilatory strategies [ 24, 25], specifically small VT, have been shown to modify functional hemodynamic monitoring parameters when lung compliance is reduced, like ARDS, due to low transmission of pressure from airway to pleura [ 4– 6, 26, 27].
Mechanical ventilation (MV) settings like tidal volume (VT), PEEP, driving pressure and respiratory rate (RR) as well as lung compliance are potential factors that may decrease the ability of functional hemodynamic monitoring parameters to predict fluid responsiveness [ 4– 6].
However, like any form of monitoring parameter, its sensitivity and specificity improves if its pretest probability is higher.
The controlling of the droplet traffic requires a feedback control system whose sensor can continuously monitor the droplet parameters like contact angle, position, size, and velocity.
This enables an automation of the purification procedure as well as monitoring of different parameters like UV extinction or conductivity.
Post-transplant monitoring basically relies on monitoring of renal retention parameters, like creatinine and urea, in addition to the observation of non-specific symptoms frequently present in AR, i.e., proteinuria, oliguria, hypertension, graft tenderness, or peripheral edema.
The modern sensors are smart, small, lightweight and portable devices, with a communication infrastructure intended to monitor and record specific parameters like temperature, humidity, pressure, wind direction and speed, illumination intensity, vibration intensity, sound intensity, power-line voltage, chemical concentrations and pollutant levels in diverse locations.
Production of most of the extracellular enzymes by microbes (fungi, yeast and bacteria) are performed using submerged fermentation technique, which provides various advantages including medium sterilization, cultivation of cultures due to easy monitoring and controlling of parameters like nutrients concentration, temperature, aeration, pH and moisture, and end product purification.
A WSN for a local sensor network may consist of spatially distributed autonomous sensors which are configured to monitor different parameters, such as physical or environmental conditions like temperature, sound, pressure, movements, concentrations of specific elements in the air, etc.
