Study of body composition analysis in the view of obesity prognosis

Chronic overweight is characterized by significant elevations in abdominal fat as well as changes in the composition of fat free mass, particularly total body fluids and its interstitial compartment. The applied in the real restrictions placed by morbid obesity, as well as changes in body content from those of healthy weight, provide enormous hurdles to fat percentage assessment. This research concentrates on some of the research and practice challenges connected with using popular fat percentage measures, and it finds available evidence on suitable approaches for use in extremely obese people. There is already little scientific literature on which body composition measures may be utilised confidently in very obese people. A typical 3 model that combines readings of body mass by air - assisted plethysmography and total body liquid by bio-electrical impedance could provide metrics of percentage body fat in the extremely obese that are significant compared to a conventional, technically skilled 3 storage area prototype that requires infrastructure including such isotopic ratios mass spectrometry as well as important technological knowledge. This study focuses on a few fundamental issues that investigators and physicians confront when doing anthropometric studies on highly obese individuals. A 3 basic framework that is efficient and simple to implement shows potential for usage in this community. Nonetheless, more study on this and other suitable techniques of fat percentage measurement in a broad sample of extremely overweight adults is required. © 2023 Author(s).

Evolution and contributions of internet of medical things aided emergency COVID-19 health monitoring and quarantine management

The present global situation of COVID-19 pandemic has broke through regional, revolutionary, philosophical, spiritual, social, and educational barriers. By utilizing an interconnection of network, an Internet of Things enabled medical system is useful for regular monitoring of COVID-19 patients. It also aids in improving patient experience and reducing re-hospitalizations. The arrival of the IoT has effect on reducing healthcare costs and enhancing the treatment outcome of affected patients. As a result, the goal of this study is to analyze and emphasize the overall applicability of the well-established IoT concept by providing a conceptual outlay to combat the COVID-19 pandemic. © 2023 Author(s).