Multi-Functional Hyperbaric Oxygen Device With Integrated Remote Mind-Body Synergy System For Enhanced Health Management

A remote mind-body synergy system integrated into a multi-functional hyperbaric oxygen device, comprising:

• a computing device having a processor and a memory to store one or more instructions executable by said processor,
• wherein said computing device is in communication with a server via a network,
• wherein said computing device is configured to execute a plurality of modules, which includes:
• a physiological monitoring module configured to collect and analyze real-time physiological data of a user in the multi-functional hyperbaric oxygen device, such as heart rate, blood oxygen levels, respiration rate, and body temperature;
• a psychological monitoring module configured to assess and analyze psychological data of the user, such as stress levels, emotional state, and cognitive performance;
• a data transmission module configured to transmit the collected physiological and psychological data to the server for analysis by a healthcare specialist, thereby enabling the healthcare specialist to provide feedback;
• and
• a processing module configured to receive the feedback and generate a personalized treatment plan for the user using one or more artificial intelligence (AI)-based models to optimize therapeutic outcomes.

A method of operating a remote mind-body synergy system integrated into a multi-functional hyperbaric oxygen device, comprising:

• collecting and analyzing, by a physiological monitoring module, real-time physiological data of a user in the multi-functional hyperbaric oxygen device, such as heart rate, blood oxygen levels, respiration rate, and body temperature;
• assessing and analyzing, by a psychological monitoring module, psychological data of the user, such as stress levels, emotional state, and cognitive performance;
• transmitting, by a data transmission module, the collected physiological and psychological data to a healthcare specialist for feedback;
• and
• receiving, by a processing module, the feedback and generating a personalized treatment plan for the user using one or more artificial intelligence (AI)-based models to optimize therapeutic outcomes.