Abstract: A portable smart device designed to be held by a user or worn by the user for determining a breathing quality of a user during a breath training session. The portable smart device including a sensor configured to detect a breathing parameter of the user and output a breathing parameter signal. The breathing parameter including at least one of heart rate, heart rate variability, breathing rate, breathing rate variability, vagal tone, breath holding capability, variations in breath holding capability, blood oxygen saturation level and blood oxygen saturation level variability. The portable smart device also including and a processor configured to analyze the breathing parameter signal of the user during the breath training session to determine breathing parameter values, set the determined breathing parameter values as a baseline for the user, and output a semi-personalized breath training routine to the user based on baseline.

Abstract: A portable smart device for monitoring hypoxia in a user over a period of time. The portable smart device configured to analyze the heart rate signal of the user to determine at least one of an interbeat interval (IBI) or an amplitude or a heart rate variability (HRV) of the heart rate signal, determine from the at least one of the IBI or the amplitude or the HRV, and without computing oxygen saturation in the blood, an occurrence of hypoxia over a period of time in the monitoring session, determine a length of the occurrence and an intensity of the occurrence of the hypoxia based on a change in the IBI or the amplitude or the HRV over a time period.

Abstract: Systems and methods for determining the effectiveness of breath training regimens are disclosed. The systems include a sensor assembly configured to detect data indicative of at least one physiological parameter of a user during breath training sessions while the user is awake and while the user is asleep. The system also includes an electronic computing unit with a processor configured to analyze the data indicative of the at least one physiological parameter of the user detected by the sensor assembly, and determine effectiveness of the breath training sessions on the user by determining trends of the at least one physiological parameter of the user from the analyzed data, and determining changes in the at least one physiological parameter of the user while the user is asleep occurring during a period of time from the determined trends.

Abstract: Systems and methods for determining the effectiveness of breath training regimens are disclosed. The systems include a sensor assembly configured to detect data indicative of at least one physiological parameter of a user during breath training sessions while the user is awake and while the user is asleep. The system also includes an electronic computing unit with a processor configured to analyze the data indicative of the at least one physiological parameter of the user detected by the sensor assembly, and determine effectiveness of the breath training sessions on the user by determining trends of the at least one physiological parameter of the user from the analyzed data, and determining changes in the at least one physiological parameter of the user while the user is asleep occurring during a period of time from the determined trends.

Abstract: Systems and methods for monitoring hypoxia in a user over a period of time are disclosed. A sensor assembly detects data indicative of at least one physiological parameter of the user and an electronic computing unit analyzes the data indicative of the at least one physiological parameter of the user detected by the sensor assembly and determines, from the analyzed data, an occurrence of a hypoxia event. The electronic computing unit may additionally determine characteristics of the data indicative of the at least one physiological parameter associated with the determined occurrence of the hypoxia event and determine trends from changes in the determined characteristics.