A wearable electronic device includes a sensor module, a processor, a display controller, and a display, where the sensor is configured to: collect data, generate a sensor signal that represents a feature of data of currently collected data, and send the sensor signal to the processor, the processor is configured to: determine, according to the received sensor signal, a manner to display that is corresponding to the feature of data represented by the sensor signal and is of the display, generate a display control signal, and send the display control signal to the display controller, and the display controller is configured to control, according to the display control signal, the display to display.

The present application provides a method and device for determining inner and outer sides of limbs, and relates to the field of wearable devices. The method comprises: acquiring first somatosensory information of a first side of a limb of a user, the first side being an inner side or an outer side of the limb; and determining whether the first side is the inner side of the limb according to the first somatosensory information and reference information. The method and device facilitate a device that the user wears to perform automatic setting according to an identification result, thereby enhancing user experience.

The present application provides a method and device for determining inner and outer sides of limbs, and relates to the field of wearable devices. The method comprises: acquiring first somatosensory information of a first side of a limb of a user, the first side being an inner side or an outer side of the limb; and determining whether the first side is the inner side of the limb according to the first somatosensory information and reference information. The method and device facilitate a device that the user wears to perform automatic setting according to an identification result, thereby enhancing user experience.

A wearable health and lifestyle device including at least a measurement module configured to be worn by a user in at least a first wearing position, the measurement module comprising a 3-axis accelerometer unit configured to provide acceleration data and inclination data, a temperature measurement unit configured to provide temperature data, a light radiation measurement unit configured to provide light radiation data, said light radiation measurement unit comprising at least one multi-spectral sensor configured to measure wavelength bands over the range 290 nm to 1150 nm, a storage module configured to receive and store said acceleration data, said inclination data, said temperature data and said light radiation data, and an analysis module configured to analyze a data set comprising acceleration data, inclination data, temperature data and light radiation data.

A wearable health and lifestyle device including at least a measurement module configured to be worn by a user in at least a first wearing position, the measurement module comprising a 3-axis accelerometer unit configured to provide acceleration data and inclination data, a temperature measurement unit configured to provide temperature data, a light radiation measurement unit configured to provide light radiation data, said light radiation measurement unit comprising at least one multi-spectral sensor configured to measure wavelength bands over the range 290 nm to 1150 nm, a storage module configured to receive and store said acceleration data, said inclination data, said temperature data and said light radiation data, and an analysis module configured to analyze a data set comprising acceleration data, inclination data, temperature data and light radiation data.

The invention relates to a system for determining blood flow within a blood vessel (18). A fluid infusion unit (4, 10, 11) continuously infuses a fluid into the blood vessel, and a temperature values determining unit (14, 21) determines simultaneously a first temperature value at a first location and a second temperature value at a second location such that the first temperature value is indicative of the temperature of the fluid and the second temperature value is indicative of the temperature of a mixture of the fluid and the blood. The blood flow is determined based on the measured first and second temperature values and the infusion rate. This kind of determining the blood flow leads to an increased accuracy and is less cumbersome than known techniques requiring a movement of a temperature sensor for measuring temperatures at different locations.

An apparatus for generating a prediction that a patient will experience a seizure by monitoring a patient's body temperature over time is provided. The apparatus may include a sensor to sense temperature. The apparatus may monitor, using the sensor, the body temperature of the patient and compare the body temperature over a first period of time and a second period of time. The apparatus may generate a prediction of whether the patient will experience a seizure following the second period of time based at least in part on a result of the comparing.

An apparatus for generating a prediction that a patient will experience a seizure by monitoring a patient's body temperature over time is provided. The apparatus may include a sensor to sense temperature. The apparatus may monitor, using the sensor, the body temperature of the patient and compare the body temperature over a first period of time and a second period of time. The apparatus may generate a prediction of whether the patient will experience a seizure following the second period of time based at least in part on a result of the comparing.

A method of predicting a healthcare event includes: receiving via an input device, classifying personal information for each of a plurality of persons; collecting measurements of at least one health indicator during a predefined learning period; creating a personal physiological pattern profile, based on the collected data; associating each of the plurality of persons to a physiological cluster based on each person's personal physiological pattern profile and based on the classifying personal information of each of the plurality of persons; creating, for each physiological cluster, a health indicator deviation pattern for the healthcare event; continuously monitoring values of the health indicator of the person; and determining an occurrence probability of the healthcare event when the monitored indicators deviate from the personal physiological pattern profile. A system for predicting a healthcare event is also disclosed.

A method of predicting a healthcare event includes: receiving via an input device, classifying personal information for each of a plurality of persons; collecting measurements of at least one health indicator during a predefined learning period; creating a personal physiological pattern profile, based on the collected data; associating each of the plurality of persons to a physiological cluster based on each person's personal physiological pattern profile and based on the classifying personal information of each of the plurality of persons; creating, for each physiological cluster, a health indicator deviation pattern for the healthcare event; continuously monitoring values of the health indicator of the person; and determining an occurrence probability of the healthcare event when the monitored indicators deviate from the personal physiological pattern profile. A system for predicting a healthcare event is also disclosed.