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Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by early impairment in social and communication domains and autonomic nervous system unbalance. This study evaluated heart rate (HR) as a possible indicator of stress response in children with ASD as compared to children with language disorder (LD). Twenty-four patients [mean age = 42.62 months; SD = 8.14 months,12 with ASD (10 M/2F) and 12 with LD (8 M/4F)] underwent clinical [Leiter International Performance Scale-Revised, Autism Diagnostic Observation Schedule, second edition (ADOS-2)] and physiological evaluation (HR monitoring) during five interactive activities, while wearing an HR measurement device. IQ (ASD:IQ = 103.33 ± 12.85 vs. LD:IQ = 111.00 ± 8.88, p = 0.103) and fluid reasoning on the Leiter-R Scale were within the normal range in all subjects. Increased HR during the third activity (ADOS-2 bubble play) significantly correlated with autistic symptoms (r = 0.415; p = 0.044), while correlations between ADOS-2 total score and HR during the first activity (ADOS-2 free play; r = 0.368; p = 0.077), second activity (Leiter-R figure ground subscale; r = 0.373, p = 0.073), and fifth activity (ADOS-2 anticipation of a routine with objects; r = 0.368; p = 0.076) did not quite reach statistical significance. Applying a linear regression model, we found that the ADOS-2 total score significantly influenced HR variations (p = 0.023). HR monitoring may provide a better understanding of the stress-provoking situations for children with ASD. Furthermore, it could help clinicians detect the impact of the stressful condition on the autistic core and adress treatment strategy.

Monitoring physiological parameters under stress conditions – i.e., heart rate, breath frequency or heart rate variability - through non-invasive and comfortable wearable devices was a research topic of great interest in many medical fields. In the last decade, several wearable devices and methods have been developed for stress monitoring, showing suitable performance in estimating the stress indicator. In spite of the interest in the field, the development of wearable solutions suitable for child neuropsychiatry applications was still an open challenge. In this study, we evaluate the cardiac activity in children - with and without neurodevelopmental disorders - through a novel wearable solution in order to compare the stress response in different structured activities and games. Each subject was equipped with a 3-lead electrocardiograph device and a piezoelectric respiratory sensor embedded into a thoracic belt. Subjects were asked to carry out five different activities previously chosen from a subset of specific behavioral tests (three different free-games and two structured activities). All experimental sessions were video-recorded. Results highlighted how wearable devices could help in estimating stress indicators for long-tests (over twenty-five minutes). The clinical application was conducted on a cohort of 32 children so divided: 13 with Specific Language Disorder, 15 with Autism Spectrum Disorder, and 4 control children without neurodevelopmental disorders. Statistical differences were observed between populations in the heart rate. Moreover, all subjects experienced stress effects evidenced by variation of heart rate and standard deviation, which are supported by the video analysis.

A low-cost and portable reflectometric system was described to correlate the water content inside building material with the resonance frequency of a planar probe. An inexpensive planar patch resonator was realized, and a high sensitivity load cell was developed to investigate the external force effect on the resonance frequency shift. Regarding the material under test, four stones commonly employed in Italy Cultural Heritage buildings were used: Pietra Gentile, Leccese, Carparo, and Tuff. Measurements were carried out at different water content values and were performed using a portable vector network analyzer. Two different trials were carried out ten times for each moisture level: with an unknown handheld force exerted on the probe and using the load cell to ensure a repeatable force. Results showed that a repeatable applied force guaranteed more reproducible measurements. The achieved humidity/frequency calibration curves can be used, in practice, for non-invasive on-site water content monitoring of historic structures.

Recent studies show how air quality monitoring activities are fundamental because the environment has always played a vital role in the life-cycle of an artwork/monument, due to interaction with the materials. For this reason, we propose and present a measuring device able to detects different parameters. The device is instrumented with a microcontroller that detects signals from an inertial sensor with nine degrees of freedom, a sensor for climate parameters, four gas sensors (SO 2 , O 3 , NO, NO 2 ), a lux-meter and particles matter analyzer. The goal of this study is to realize a small-size and low-cost sensor system able to evaluate and classify the effects of different factors in an original way: through a global Risk Index. The proposed and projected system allows monitoring: (a) daily thermal variations; (b) the vibrations that occur on the structure and (c) pollutant – both reductant, oxidant and depositing agents. In this paper, the structure (hardware and software) of the environmental monitoring device is presented and expounded in detail. A Risk Analysis Algorithm is proposed and evaluated. It shows how the global degrading risk is always lower than the threshold level, even if the single compound could exceed the own threshold.

Dielectric permittivity-based measurement techniques are establishing themselves as attractive solutions for assessing moisture content of historic masonry materials. The relative simplicity of the measurement principle and the inherent adaptability to diverse operating conditions are two of the most notable features of these techniques. In spite of these specific advantages, however, there are still some aspects that hinder the widespread use of permittivity-based moisture content measurement systems, and make their standardization difficult. In particular, the density of the sample under test may affect the estimation of permittivity, thus possibly leading to inaccurate moisture content measurements. As a result, the measurement system should be re-calibrated even when the same type of material is being investigated (e.g., two samples of the same type of stone, but extracted from different quarries).To circumvent this problem and to fully exploit the potential of permittivity-based moisture content measurements, in this work, a strategy for compensating for the effect of density is addressed. In order to verify the suitability of this strategy, moisture content measurements were carried out on samples of two type of stones typical of historic masonry, namely gentile stone and red-clay brick.

In this paper, preliminary results of variations as a function of applied pressure in the reflection coefficient of a planar patch resonator, placed in contact with cultural heritage stone materials, will be presented. The general aim of the experimental project is to correlate the resonant frequency of the planar sensor, for the different pressures applied to the resonator, with the different levels of water content $\theta_{v}$ of the tested stone material. In fact, in previous works, it has been demonstrated that by placing a planar resonator in contact with the considered stone sample, it is possible to associate the resonant frequency of the resonator with the moisture content of the stone sample, through reflection scattering parameter measurements. In previous studies, however, the level of applied pressure is not standardized and controlled. An application of an external force could improve the repeatability and increase the detectability of the first resonance peak. The current study shows a negligible resonant frequency shift among measurements with different applied pressures at the same water content $\theta_{v}$ level, but a significant change regarding Q factor. Moreover, applying an external force on the patch, the first resonance peak can be identified more easily, thanks to an increase in the Q factor.

Wireless Sensor Network (WSN) has been adopted in many contexts, such as healthcare or industry. In museum scenarios, WSN has been introduced for environmental monitoring, to control temperature and relative humidity. Nowadays, the development of low-cost micro-scale sensing units, opened to new possibilities for WSN development, enlarging the set of feasible measurements to gaseous pollutant concentration, relative humidity, temperature, light intensity, air flow, or vibration.This work is part of the overarching goal of developing a low-cost and minimally invasive WSN designed for a museum scenario. The proposed WSN node, based on a ZigBee standard, gathers signals provided by: a 9-axis MIMU, a sensor for temperature and relative humidity, and three gas detection boards. In this paper, specifically, we present performances of the WSN node in detecting: structure tilt, vibrations, and daily cycle of humidity, temperature, and gas deposition.