Antonino Quattrocchi, Roberto Montanini, Mariangela Latino, Nicola Donato
This paper reports some very first results about the development and the metrological evaluation of a fiber Bragg grating (FBG) ethanol sensor, able to work into liquid solutions. The sensing device is established by dip-coating a single-mode silica FBG with a poly(methyl methacrylate) (PMMA) coating film. The thickness of the sensing coating was set by means of a deposition system able to control the rising/dipping rate of the FBG in the PMMA solution. Tests were performed in a range spanning from 3 % to 40 % in v/v of ethanol in water in order to investigate the device response. In...
G. Crotti, D. Giordano, P. S. Letizia, A. Delle Femine, M. Luiso
The paper proposes a simplified and affordable procedure for instrument transformers frequency characterization for medium voltage applications. It consists of a two steps measurement procedure, where both steps involve the generation of sine waves only, so that the it can be easily performed in instrument transformers calibration laboratories without requiring additional generation features. In the first step, a 50 Hz measurement of the Voltage Instrument Transformer ratio error at rated voltage is performed. The second step consists of a frequency sweep performed at low voltage up to the...
Andrea Bernieri, Giovanni Betta, Luigi Ferrigno, Marco Laracca, Antonio Rasile
The paper proposes the improvement of an eddy current probe for non-destructive testing applied to the defect investigation on conductive materials. The goal is to increase the defects detection sensitivity regardless of the mutual orientation between the defect and the sensing axis of the probe while the test is performed. In particular, the paper describes the realization of a suitable triaxial magnetic field detection system based on three single axis TMR (Tunnel Magnetoresistance Effect) sensors assembled on an eddy current probe. A probe performance evaluation was carried out on two...
A. Mingotti, D. Cavaliere, L. Peretto, R. Tinarelli
The Total Harmonic Distortion (THD) measurement is among the key elements to assess the power quality of a network. However, the Standards does not provide sufficient information to evaluate the uncertainty related to THD, neither voltage nor current one. Therefore, this work tackles the uncertainty estimation of the current THD measured by off-the-shelf inductive current transformers. The uncertainty computation is performed by a consolidated expression presented by the authors. Finally, the actual measurements of THD and the computation of its uncertainty are compared with those estimates...
Ondrej Hanus, Radislav Smid
This article presents an automated testing system for electromechanical actuators used in aviation. The paper describes the parameters and properties of the system and the possibilities of its use. Based on the data obtained from the system, a method for detecting actuator jam is proposed.
Giuseppina Affinito, Raffaele Palladino, Maria Triassi, Pasquale Arpaia
Cardiovascular disease (CVD) is one of the most prevalent causes of long-term sickness absence from work, and the working environment can contribute to its impact on workers. health. The aim of this study is to develop, validate, and compare scores to measure the risk of diagnosis of unsuitability for work. A cohort of workers employed by the municipalities of Naples was examined, as part of their scheduled occupational health surveillance, at the occupational health outpatient clinic of the Department of Public Health of the University of Naples Federico II between January 2006 and December...
Imran Ahmed, Francesco Lamonaca
Biomedical Measurement System (BMS) has provided new solutions for health-care monitoring and the diagnosis of various chronic diseases. With the growing demand of BMS in the field of medical application, researchers have a great deal of attention to bring advancement in these systems such as IoMT based BMS, which aims to improve the bio-processes, healthcare system, and technology for biomedical equipment. This paper is a state of the art review that presents the recent activities towards the development of IoMT based BMS for various medical applications. Thus, it leads to overcome the...
Andrea Apicella, Pasquale Arpaia, Mirco Frosolone, Giovanni Improta, Francesco Isgrò, Nicola Moccaldi, Angela Natalizio
wireless and wearable device with a low number of channels and dry electrodes is proposed for EEG-based attention assessment during motor-rehabilitation tasks. The system is a part of an instrument for real-time engagement assessment in rehabilitation 4.0. An experimental campaign on nine volunteers was realized for metrologically characterizing the system. Common Spatial Pattern (CSP) algorithm was used for features selection from the brain signal. The performance of three different supervised classifiers for distracted and non-distracted conditions were compared. The higher accuracy, 71.63...
Pasquale Arpaia, Vincenzo Canfora, Federica Crauso, Egidio De Benedetto, Giovanni Improta, Francesco Serino
This paper addresses the design and development of a system for remote patient monitoring, employing low-cost sensors and internet of things (IoT) technologies. The proposed remote-monitoring system is intended for patient with lung diseases. In fact, the system includes a dedicated Android application (called EcO2u), which manages data collection related to heart rate (HR) and oxygen saturation (SpO2). The developed application also implements a face-detection function, which allows the identification of the remote patient. The patient s vitals collected by the sensor are sent to and stored...
Jan Saliga, Pavol Dolinsky, Imrich Andras, Linus Michaeli
Compressed sensing (CS) is a modern method reducing amount of transferred and stored data which have been applied for many types of signals fulfilling sparsity requirements. Electrocardiogram signals (ECG) is one of such signals. In this paper a completely patient-agnostic compressed sensing and reconstruction technique for ECG signals is proposed. A modified sensing method incorporating a QRS detector is used to guarantee the exact R wave positions in the reconstructed signal for any level of compression. For the signal reconstruction a novel method using a dynamic ECG signal model is...