Disclosed is a medical data processing method for determining an indicator relating to an injury of an anatomical structure (1) of a patient, wherein the method comprises executing, on at least one processor (5) of at least one computer (3), steps of: a) acquiring (S1) acceleration data describing an energy of a set of one or more signals in dependence on both time and frequency, the set of signals acquired by measuring the acceleration of the anatomical structure (1) over time; b) acquiring (S2) analysis data describing an analysis rule for determining at least one of b1) an overall energy level of at least one signal of the set of signals, b2) a correlation between at least two signals of the set of signals in the frequency domain, the at least two signals respectively measured at at least two different respective regions of the anatomical structure (1), or b3) a relationship between energies given for at least two different frequency ranges of at least one signal of the set of signals; c) determining (S3) indicator data describing the indicator based on the acceleration data and the analysis data.

Embodiment provides a terminal which comprises at least one processor. The at least one processor is configured to: obtain first biometric feature information of a measured target, where the first biometric feature information includes a pulse wave signal and/or an electrocardio signal of the measured target; obtain a first status of the measured target according to the first biometric feature information of the measured target; determine blood pressure calculation policy of the measured target according to the first status of the measured target; and determine a blood pressure value of the measured target according to the blood pressure calculation policy and the first biometric feature information of the measured target.

The invention in at least one embodiment includes a system and method for detecting and evaluating an adaptive physiological strain index (aPSI) of an individual with a processor and in a further embodiment taking into account the fitness, age and clothing of the individual based upon physiology. The invention in at least one embodiment includes a system and method to calculate the aPSI using physiological measures. In at least one embodiment, the method obtains an individual's skin temperature and heart rate in order to calculate the individual's aPSI.

Systems and methods for monitoring food intake include an air pressure sensor for detecting ear canal deformation, according to some implementations. For example, the air pressure sensor detects a change in air pressure in the ear canal resulting from mandible movement. Other implementations include systems and methods for monitoring food intake that include a temporalis muscle activity sensor for detecting temporalis muscle activity, wherein at least a portion of the temporalis muscle activity sensor is coupled adjacent a temple portion of eyeglasses and disposed between the temple tip and the frame end piece. The temporalis muscle activity sensor may include an accelerometer, for example, for detecting movement of the temple portion due to mandibular movement from chewing.

A biological information measuring apparatus includes a detector, a measuring unit, a calculator, and a determining unit. The detector detects pulse waves continuously. The measuring unit measures first biological information. The calculator calculates second biological information from the pulse waves based on the first biological information. The measuring unit suspends the measurement and resumes the measurement after a lapse of a period in a case where the determining unit does not determine that the result of measurement is normal, and the measuring unit continues the measurement in other cases where the body motion is not generated, the pulse waves are not irregular or the blood pressure value fails to vary.

A terminal is disclosed. The terminal according to an embodiment of the present invention comprises: an output unit for outputting a notification; a storage unit for storing a database; a control unit for controlling the outputting of the notification; and an artificial intelligence unit for acquiring information regarding a user's context, and outputting a notification when the user's context corresponds to information included in the database, wherein the database includes at least one of a user's personal database, a standard activity database, and an accident type database.

A drug delivery device may include an Inertial Measurement Unit (IMU) is provided. The IMU may include an accelerometer, a magnetometer, or a gyroscope. Motion parameters may be detected when the drug delivery device is shipped, being prepared for activation for use, or during use. The IMU may provide data indicative of a rapid deceleration, such as when a package containing the drug delivery device is dropped, or some other physical event experienced by the drug delivery device. The drug delivery device may also include internal or external pressure sensors or a blood glucose sensor that may coordinate with the IMU to provide additional feedback regarding the status of the device or user. A controller of the drug delivery device may generate a response depending on the particular parameters being monitored or may change device operational parameters as a result of detected system events.

A fitness tracking system includes a shoe, a monitoring device, and a controller. The monitoring device is mounted on the shoe and includes an accelerometer configured to generate acceleration data corresponding to acceleration of a foot received by the shoe. The controller is operably connected to the accelerometer and is configured to collect sampled acceleration data by sampling the generated acceleration data, to identify foot strike data of the sampled acceleration data, to identify a local minimum of the sampled acceleration data collected prior to the foot strike data, and to determine foot strike characteristic data corresponding to the foot strike data based on an acceleration value at the local minimum.

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

An illustrative hearing system may be configured to receive, from an inertial sensor included in a hearing device configured to be worn by a user, inertial sensor data representative of at least one of motion of the hearing device or orientation of the hearing device. The hearing system may further be configured to determine, based on the inertial sensor data, an activity state of the user and to determine, based on the activity state, a cardiorespiratory quality index representative of a quality level of a measurement of a cardiorespiratory property of the user.