![]() ![]() Write down your insights in Project Notes.“exercise benefits for deep sleep”) to enhance your analysis “exercise benefits for deep sleep”) and explore it in deeper detail Zoom into topics to see the context they’re used. ![]() Follow the Text Diagnostics Protocol (main topics, top concepts, high level ideas).Make sure to import the data in the same graph: the newly imported data will have this new search query as a tag, which you can use to filter the results later: In order to do that, go to +Add / Import, then choose Import > Scientific Papers > Google Scholar. “exercise benefits for deep sleep”) and see if there are any more papers on the subject. ![]() If we like to explore this topic further, we can perform additional import from Google Scholar search results on this topic (e.g. Interestingly, in this case, we can see a paper on exercising before sleeping and its benefits for deep sleep. If we click on this term, we will get to the Google Scholar search result snippets that talk about this particular concept (or combinations of concepts, if we selected several) in more detail, with a reference to the specific research papers: The image above shows that exercise is one of the most important elements that help increase the duration of deep sleep. In order to go deeper, we can reveal underlying ideas by hiding these nodes from the graph and then applying built-in GPT-3 AI to reveal high-level ideas - brief names that describe the clusters identified: Based on this graph representation, we can detect the main topical clusters and keywords present within the scientific discourse on this subject: InfraNodus visualizes the content of Google Scholar search results for a specific query (in this case “increase deep sleep” and shows the main topical clusters and concepts detected inside, as well as a graph of relations between the main concepts).Īs is expected, “deep”, “sleep”, and “stage” take up most of the influence and thematic diversity of this discourse is low (see the analytics panel on the right), because all the discourse is concentrated around these 3 concepts. It extracts the top 40 (or more) search results for a certain search query from Google Scholar - mainly the paper titles and the most relevant excerpt selected by Google - and visualizes them as a network graph, where the concepts used in those snippets of text are the nodes and their co-occurrences are the connections. In order to perform the review, we use the Google Scholar analysis app built into InfraNodus. In order to answer this question, we conduct a brief literature review of the papers on deep sleep and various factors that influence slow-wave sleep stage. Scientific Literature Review: Text Network Analysis of Google Scholar Results How can we increase the period of deep sleep through lifestyle changes? ![]() There are also several other factors that negatively affect deep sleep, so it can be a good and healthy choice to increase the level of deep sleep for recovery purposes. However, the length of deep sleep decreases with age, and only a few men aged 50 and above get more than 5% of deep sleep during the night. It is known to be beneficial for learning, information consolidation, memory, metabolism, hormonal regulation, and normal functioning of the immune system. We put particular emphasis on behavioral changes that can be implemented in everyday life.ĭeep sleep is a stage of non-REM sleep with a synchronized EEG activity characterized by the presence of delta waves (0.5 – 4Hz). In this case study, we use InfraNodus text analysis tool to conduct a review of scientific literature on deep sleep to discover the factors that increase its duration. Deep sleep or slow wave sleep is well-known to be beneficial for mental and physical well-being. ![]()
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