Abstract: Microelectronic device, comprising a substrate, a first electrode arranged above the substrate, a first resistive switch and a resistivity structure coupled with each other, wherein the first resistive switch and the resistivity structure are arranged in a single layer of the device, and a second electrode arranged above the layer that includes the first resistive switch and the resistivity structure, wherein the first resistive switch and the resistivity structure are coupled with the first and the second electrode.

Abstract: Microelectronic device, comprising a substrate, a first electrode arranged above the substrate, a first resistive switch and a resistivity structure coupled with each other, wherein the first resistive switch and the resistivity structure are arranged in a single layer of the device, and a second electrode arranged above the layer that includes the first resistive switch and the resistivity structure, wherein the first resistive switch and the resistivity structure are coupled with the first and the second electrode.

Abstract: An e-nose device employing chemiresistive sensors with a thin nanoparticle film allows to perform a fast and accurate analysis of respiratory gases during anesthesia in real-time over the entire breathing cycle. A combinatorial selection of nanoparticles and organic linker molecules in the nanoparticle film allows to achieve a high selectivity, which is particularly suitable for detecting a change of anesthetics or analgesics over time.

Abstract: Feature extraction includes extracting features from signals of a plurality of sensors of a sensor array, including, for each sensor, obtaining a signal of the sensor corresponding to responses of the sensor during one or more exposures to samples, computing a baseline function from the signal, and computing the features based on the baseline function and values corresponding to responses of the sensor during each exposure. Feature vectors are formed from the features of the sensors. The features in each feature vector correspond to the same exposure. At least one of computing the baseline function by interpolating baseline values corresponding to responses of the sensor prior to each exposure, and forming the feature vectors by combining features of at least one sensor with features of at least one redundant sensor of the sensor array in the feature vectors is performed.