Abstract: A health monitoring system provides information to healthcare professionals, patients, or caregivers of patients based on the correlation between adherence data and physiological data for the patient. The health monitoring system receives sensor data captured by a tracking device associated with a patient. Based on the sensor data, the health monitoring system generates adherence data. The adherence data includes a set of adherence data points, each corresponding to a time period of a set of time periods. Moreover, the health monitoring system receives physiological data captured by one or more measuring devices associated with the patient. The physiological data includes a set of physiological data points, each corresponding to a time period of the set of time periods. The health monitoring system then provides a user interface element generated based on a correlation between the generated adherence data and the physiological data to a user of the health monitoring system.

Abstract: A solution is provided to monitor and to analyze a user's medicine consumption related to a prescribed therapeutic regimen or a prescribed medication anywhere and anytime through a variety of sensors attached to a health tracking device, e.g., a pillbox. A health tracking service analyzes the sensor data collected by the sensors of the pillbox, e.g., by correlating the sensor data with selected historical health data of the user, and generating health related suggestions for the user based on the correlation. The analysis, recommendations and instructions are presented in a user friendly way to users on users' various consumer electronic devices, such as computers, mobile devices, television sets, and any other suitable electronic devices.

Abstract: A solution is provided to monitor and to analyze a user's medicine consumption related to a prescribed therapeutic regimen or a prescribed medication anywhere and anytime through a variety of sensors attached to a health tracking device, e.g., a pillbox. A health tracking service analyzes the sensor data collected by the sensors of the pillbox, e.g., by correlating the sensor data with selected historical health data of the user, and generating health related suggestions for the user based on the correlation. The analysis, recommendations and instructions are presented in a user friendly way to users on users' various consumer electronic devices, such as computers, mobile devices, television sets, and any other suitable electronic devices.

Abstract: A solution is provided to monitor and to analyze a user's medicine consumption related to a prescribed therapeutic regimen or a prescribed medication anywhere and anytime through a variety of sensors attached to a health tracking device, e.g., a pillbox. A health tracking service analyzes the sensor data collected by the sensors of the pillbox, e.g., by correlating the sensor data with selected historical health data of the user, and generating health related suggestions for the user based on the correlation. The analysis, recommendations and instructions are presented in a user friendly way to users on users' various consumer electronic devices, such as computers, mobile devices, television sets, and any other suitable electronic devices.

Abstract: In a mood analysis method using an electrocardiogram of a user, RR intervals in the electrocardiogram are computed, and low-frequency (LF) values and high-frequency (HF) values are also computed according to the RR intervals. Standard values of sympathetic nervous system (SNS) activity and parasympathetic nervous system (PSNS) activity are acquired corresponding to age and sex data of the user, to establish a mood display coordinate system. Coordinates of the LF values and the HF values in the mood display coordinate system are computed to determine a mood of the user.

Abstract: In a breathing analysis method using an electrocardiogram of a user, a breathing curve is generated according to R waves in the electrocardiogram, and whether the user is currently taking a breathing out action or a breathing in action is detected according to the breathing curve. A duration of the breathing in action or the breathing out action of the user is computed according to the breathing curve, and a ratio of the duration and a standard time of the breathing in action or the breathing out action is computed. A breathing in or out progress is displayed in a progress demonstration bar on the display device according to the ratio.

Abstract: In a mood analysis method using an electrocardiogram of a user, RR intervals in the electrocardiogram are computed, and low-frequency (LF) values and high-frequency (HF) values are also computed according to the RR intervals. Standard values of sympathetic nervous system (SNS) activity and parasympathetic nervous system (PSNS) activity are acquired corresponding to age and sex data of the user, to establish a mood display coordinate system. Coordinates of the LF values and the HF values in the mood display coordinate system are computed to determine a mood of the user.