Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Systems and methods for facilitating exercise monitoring are provided. A representative method includes: using a processor, having processor circuitry, to: compute an orientation change of the single wearable device based on the motion readings; determine a current training type and a target status associated with the current training type based on the schedule of training types; select one of the computing models associated with the current training type; compare the set of matching orientation changes corresponding to the current training type and the orientation change of the single wearable device with respect to a determination threshold corresponding to the current training type until the target status associated with the current training type has been attained; and compute an exercise amount associated with the current training type based on the target status attained.

The present invention relates to a mouth guard having a new structure that protects a user's teeth more effectively, enables a user to feel food texture more effectively when masticating food, and is more firmly fixed to the teeth. The mouth guard according to the present invention comprises a plurality of fixing members 10 made of a hard material and coupled to the teeth 1 to support the teeth 1 and a connecting member 20 made of a synthetic resin material that is softer than the hard material of the fixing member 10 and provided between the fixing members 10 to interconnect the fixing members 10. Since the fixing member 10 is connected to the connection member 20 to be mutually movable by the connection member 20 in a state of being coupled to the user's teeth 1, the mouth guard can effectively protect the user's teeth 1 and can effectively deliver food texture to the teeth 1 when the user chews food. In particular, the mouth guard according to the present invention can prevent sugar and acid generated by a combination of food and saliva from contacting the teeth when eating food, and effectively prevent food debris from being caught between the teeth or between the teeth and gums, thereby preventing various dental diseases such as tooth decay.

An electronic device is provided. The electronic device includes a display, a communication circuit, and at least one processor configured to recognize a user's initial posture based on at least one of motion sensor signals of a first external electronic device and a second external electronic device received through the communication circuit, control the first external electronic device to receive a first motion sensor signal, obtain the user's workout data based on the first motion sensor signal when the initial posture satisfies a designated condition, control the second external electronic device to receive a second motion sensor signal when the user's movement is not recognized based on the first motion sensor signal and obtain the user's workout data based on the second motion sensor signal, and provide the workout data through at least one of the display or the first external electronic device.

A pelvic floor contraction detection system and method to evaluate pelvic floor muscle (PFM) exercise performed by a user are disclosed. The contraction detection system comprises a probe adapted to position within a pelvic cavity of the user, a data processing module, and a user interface. The probe comprises two or more sections. Each section is filled with a group of electronic sensors. The first and second sections are seated in contact with tissues of the pelvic cavity. The first and second groups of sensors are configured to detect pressure applied by the internal vaginal surface on the surface of the first and second sections of the probe respectively. The data processing module is in communication with the first and second groups of sensors and configured to calculate a number that is interpreted as the “quality of the contraction”. The data processing module determines the incorrect pelvic floor muscle contraction and notifies the user via a user interface.

A fatigue measurement method includes obtaining a face video of a target object, processing the facial video to obtain a plurality of quasi-heart rates and a plurality of quasi-vibration frequencies, selecting a target heart rate from the plurality of quasi-heart rates and a target vibration frequency from the plurality of quasi-vibration frequencies, detecting the target heart rate and the target vibration frequency, and determining, according to the detection result, that the target object is in a fatigue state. The quasi-heart is obtained through one or more of a region of interest (ROI) between eyebrows and an ROI of chin, and the quasi-vibration frequency obtained through one or more of an ROI of eyes and an ROI of mouth.

A gripping force measurement device includes a body portion and a plurality of pressure sensors. The plurality of pressure sensors includes at least one first sensor and two or more second sensors including pressure-sensitive surfaces oriented in the same direction. A pressure-sensitive surface of the first sensor and the pressure-sensitive surfaces of the two or more second sensors are disposed such that, when a subject pressurizes the pressure-sensitive surface of the first sensor and the pressure-sensitive surfaces of the two or more second sensors, the gripping force measurement device is grippable by the subject.