| CPC A62B 9/006 (2013.01) [A61B 5/0833 (2013.01); A61B 5/0836 (2013.01); A61B 5/486 (2013.01); A61B 5/6803 (2013.01); A61B 5/7225 (2013.01); A61B 5/7275 (2013.01); A61B 5/7278 (2013.01); A62B 7/14 (2013.01); A62B 18/02 (2013.01)] | 20 Claims |

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1. A system for monitoring breathing or health conditions related to a subject's breathing comprising:
a breathing mask;
a subject-mounted sensor unit comprising at least one oxygen sensor having a signal related to an in-breath partial pressure of oxygen within the breathing mask during the subject's breathing, the at least one sensor being in fluid communication with the breathing mask, and the at least one oxygen sensor being adapted to obtain a first measurement corresponding to the partial pressure of oxygen during inhalation and a second measurement corresponding to the partial pressure of oxygen during exhalation;
at least one flow sensor adapted to measure air flow rates during the subject's breathing and having a signal related to the flow rate of breath of the subject;
at least one blood oxygenation sensor adapted to measure blood oxygenation levels of the subject;
at least one electronic component, including at least a processor, the at least one electronic component adapted to receive the signals from the sensors, and the processor is adapted to calculate a standard oxygen absorption value based at least in part on the first and second measurements and the signal of the at least one flow sensor, and further to calculate one or more metabolic metrics selected from the group consisting of inspiratory volume, expiratory volume, carbon dioxide (CO2) produced, the (O2) consumed, respiration rate, breath duration, peak negative mask pressure, and peak positive mask pressure; and
at least one machine learning algorithm comprised in the processor, the at least one machine learning algorithm adapted to predict a blood oxygen concentration trend based at least in part on the calculated standard oxygen absorption value;
wherein the at least one machine learning algorithm is adapted to compare respiratory and gas exchange patterns of the subject with measured blood oxygenation levels of the subject, and the system is adapted create a unique algorithm for the particular subject adapted to improve classification accuracy with continued use.
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