E-Learning Ecosystems (ELE) offer excellent opportunities to manage teaching activities by incorporating state-of-the-art technologies, practices, and professional support, as well as learning and assessment resources that can be adaptive. Therefore, it can help people with disabilities or conditions such as Autism Spectrum Disorder (ASD) to develop skills. However, some technological factors prevent this population's implementation of support scenarios and hinder the proper learning process. This paper systematically reviews relevant studies on E-Learning Ecosystems for people with ASD, identifying the influence of Information and Communication Technologies (ICT) on forming ELE and the technological barriers that affect their development and appropriate use on people with ASD. This work conducted a systematic review using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, including a search of five scientific literature databases from 2017 to 2022. The main aspects identified were 1) a shortage in design guides for the implementation of e-learning ecosystems adapted for people with ASD, 2) technological barriers that prevent the development of ELE, and 3) recommendations that help to mitigate the limitations of this field. In addition, the authors identified that the skills with the most significant focus of interest were social, communicative, and cognitive. The most implemented technologies include virtual and augmented reality or mobile applications. Most studies involved children with ASD between 8 and 15 years, followed by works with children between 5 to 8 years. Very few researches linked adults with ASD. Very few studies mention the ASD level of the participants, but most highlight the positive results of implementing ICT in training processes.

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The research in telemedicine has been evolving for several years, nevertheless, there isn't a clear designation of which hardware and/or software tools should those who intend to research on this topic use. Given this situation, the objective of this study is to review and established the most used electronic cards and microcontrollers in vital signs remote monitoring systems for specific chronic patients. Also, this research intended to identify which are the motivations, challenges and recommendations to serve this study as support for further research in this area. To accomplish the above, four databases: ScienceDirect, PubMed, Science AAAS and IEEE Xplore, as well as the search engine Google Scholar academic referents, were used for developed literature review. Likewise, among 330 abstracts were searched to determine their relevance and affinity regarding the targeted scope. At the end, 35 documents were selected due to their high level of importance. According to the information extracted from such scientific papers, Arduino ONE electronic development platform has been the most used (considering low-end embedded devices) for the creation of this type of systems since 2016. Further into the review, the followed process and conclusions will be detailed and further explored. INDEX TERMS Arduino, electronic cards, Internet of Things, sensing, telemedicine, vital signs.