Can Hyperbaric Oxygen Therapy Be Used to Treat Children after COVID-19? A Bibliographic Review.

The coronavirus disease (COVID-19) epidemic is a public health emergency of international concern. It was believed that SARS-CoV-2 virus was much less likely affect children. Statistics show that children account for 2-13% of all COVID-19 patients in individual countries. In the youngest population, acute respiratory failure is not as serious a problem as complications after COVID-19, mainly pediatric inflammatory multisystem syndrome (PIMS, MIS-C). This study used a bibliography review. The Medline database (using the PubMed platform) and the Cochrane Clinical Trials database were searched using the following keywords: hyperbaric oxygen therapy for children, treatment of children with COVID-19, and use of HBOT in the treatment of children following COVID-19. Thirteen publications that quantitatively and qualitatively described the efficacy of HBOT application in the treatment of pediatric diseases were eligible among the studies; those relating to the use of HBOT in the treatment of children with COVID-19 and its complications were not found. The bibliographic review showed that hyperbaric oxygen therapy can be used in the treatment of children after carbon monoxide poisoning, with soft tissue necrosis, bone necrosis, after burns, or after skin transplant. No evidence supported by research has been found in scientific journals on the effectiveness of the use of hyperbaric oxygen therapy in children with a history of COVID-19 infection. Research data are needed to develop evidence-driven strategies with regard to the use of HBOT therapy in the treatment of children and to reduce the number of pediatric patients suffering because of complications after COVID-19.

Hybrid System of Emotion Evaluation in Physiotherapeutic Procedures.

Nowadays, the dynamic development of technology allows for the design of systems based on various information sources and their integration into hybrid expert systems. One of the areas of research where such systems are especially helpful is emotion analysis. The sympathetic nervous system controls emotions, while its function is directly reflected by the electrodermal activity (EDA) signal. The presented study aimed to develop a tool and propose a physiological data set to complement the psychological data. The study group consisted of 41 students aged from 19 to 26 years. The presented research protocol was based on the acquisition of the electrodermal activity signal using the Empatica E4 device during three exercises performed in a prototype Disc4Spine system and using the psychological research methods. Different methods (hierarchical and non-hierarchical) of subsequent data clustering and optimisation in the context of emotions experienced were analysed. The best results were obtained for the k-means classifier during Exercise 3 (80.49%) and for the combination of the EDA signal with negative emotions (80.48%). A comparison of accuracy of the k-means classification with the independent division made by a psychologist revealed again the best results for negative emotions (78.05%).