Managing cardiopulmonary rehabilitation in patients with COVID-19 remains a global challenge due to the facets of this virus. The technologies used in the rehabilitation of post-COVID-19 patients fail to keep pace with the global epidemiological developments. The purpose of this article is to review the medical technologies used in post-COVID-19 cardiopulmonary rehabilitation and the innovations that have allowed us to adapt and care for our patients. The pandemic highlighted the need for seismic changes in diagnostic and rehabilitation paradigms. We discuss advances in telemedicine and telemedicine-based rehabilitation, remote patient monitoring and emerging technologies used in cardiopulmonary rehabilitation. The rapid adoption of modern technologies in the practice of post-COVID-19 cardiopulmonary rehabilitation is promising and can improve patients’ access to complex rehabilitation programs with outstanding results.

In this article, a simple 2D finite element model is proposed for computing the RMS electric field strength generated by overhead power lines. The model it is implemented in FEMM 4.2, a high quality, open source finite element software for solving low frequency electromagnetic problems, for the particular case of a 110 kV single-circuit overhead power line. The results obtained with this model there are analyzed and then compared to those obtained by analytical calculations, revealing a very good agreement. The proposed FEMM 4.2 model it is primarily intended to assess the compliance with the electric field exposure limits established by health regulations, but other applications are also possible.

Since the 1st of July 2016, the Directive 2013/35/ EU on the employees’ health protection in terms of non-ionizing electromagneticradiations acquired the force of law.An accessible methodology for the characterization of a workspace is proposed here, in terms of exposure to low-frequency electric fields.Firstly, the means whereby an external electric field can induce electrical processes in the human body are presented, followed by a comparative summary of differently expressed exposure levels (ICNIRP, European Directive, IEEE-ICES).Further on two electric field sensors are presented that can easily be hand-crafted in any laboratory, useful for extending the capabilities of a budget, low-frequency handheld spectrum analyzer. A realistic exposure metric is developed that cumulates the influence of all E-fields in the environment. A case study is presented on the cumulative assessment of exposure to low frequency electric fields produced in a laboratory-class where a network of 16 computers was working.A simple numerical approach based on FEMM 4.2 has also been developed for evaluating the E-field produced by overhead high voltage transmission lines.This paper is an extended version of the original contribution to the IMEKO TC 4 2016 symposium in Budapest, Hungary.

As the market of the SW based electronic components in the automotive industry is increasing with high speed, both Original Equipment Manufacturers (OEM) and suppliers need to find solutions for delivering quality products which fulfil customer requirements and safety regulations. One measure of quality is represented by the number of Customer Defects. But how to normalize the Number of Customer Defects metric in order to measure and compare the results of this metric for any kind of automotive SW development project, independent of the complexity and code size? We experienced one possible solution by measuring the metric Customer Defects per Lines of Code on several projects. We analysed if and how code size and implicitly complexity influence the quality of the Automotive SW Development applications. Are complex systems more prone to errors? Should we invest in quality for low complexity systems? These are the main questions we tried to answer.

Aiming to identify any errors in the same phase where they were introduced, rigorous verification is needed at the end of every phase of the software development process. Escaped faults involve higher costs, longer delivery time and even poorer public image. Phase Containment Effectiveness (PCE) is a flexible metric providing the ability of improving this essential development process. We here proposed two different applications of PCE in automotive industry: one for development phases and the other for test phases. Wishing to assure a better consistency between PCE for Development and PCE for Testing, the paper proposes a different approach based on the identification and consideration of only the defects discovered by testing which are directly related with at least one of the development phases. The acquired advantages are demonstrated by a detailed example of real application.

There is a special concern for measuring and simulating low-frequency magnetic fields generated by underground power cables, particularly in human exposure studies. In the present study, an accurate 2D finite element model for computing magnetic fields generated by three-phase underground power cables with solid bonding is proposed. The model is developed in ANSYS Maxwell 2D low-frequency electromagnetic field simulation software for a typical 12/20 kV (medium-voltage) three-phase underground power cable in both trefoil and flat formations, but it can be adapted to any cable system. Model validation is achieved by analytical computations conducted with a software tool based on the Biot–Savart law and the superposition principle. RMS magnetic flux density profiles calculated at various heights above the ground with these two methods correlate very well. This is also true for induced shield currents. The application of the finite element model to multiple three-phase power cables laid together is also considered.