REAL-TIME HEALTH MONITORING OF MARITIME CREWS USING WEARABLE TECHNOLOGY

Abstract

This research presents a theoretical framework for decision-making in a networked real-time health administration system for marine transport personnel.The decision-making process is founded on an individual-centered approach for handling ship workers' well-being and security, emphasizing staff members' participation as the primary element in the management loop.Constructs a functional blueprint of a wellness management structure for maritime crews and executes it via a three-phase procedure, including tracking and assessing every worker's health metrics, followed by decision-making.These interrelated processes integrate the tiers of a decentralized innovative health administration system.It outlines suitable strategies for implementing decision support procedures and details a potential way to assess generated information and make judgments using fuzzy pattern recognition.Modelling of a fuzzy ideal picture and fuzzy actual images representing a worker's health state has been constructed, together with an algorithm for evaluating the departure of produced medical variables from the usual range.The document consolidates the regulations for establishing the knowledge foundations of a dispersed innovative system for distant constant oversight.Integrating this foundation into the automated architectures is expected to help assess the health patterns of ship staff members and facilitate responsible choices to address specific issues.