A computer implemented method for providing pain management using a wearable device determines a predictive model estimating an intensity level of pain as a function of at least one physiological parameter of a user of the wearable device and at least one activity of the user. The activity of the user includes one or combination of a type of the activity, a level of the activity, a location of the activity, and a duration of the activity. The method determines measurements of physiological and activity sensors of the wearable device to produce values of the physiological parameter and the activity of the user and predicts the intensity level of the pain based on the predictive model and the values of the physiological parameter and the activity of the user. The method executes actions based on the predicted intensity level of pain.

The invention relates to the system and method of remote ECG monitoring, remote disease screening, and early-warning system based on wavelet analysis. The system includes a wireless ECG signal acquisition device, a mobile terminal, and a cloud storage platform. The wireless ECG signal acquisition device worn on the user's chest is used to collect ECG signals anywhere and anytime. The method includes transmitting the ECG signals to the mobile terminal using the wavelet analysis algorithm, analyzing and processing the received ECG signal, and uploading the processed ECG signals to the cloud storage platform. The cloud storage platform stores users' personal information and ECG signals. According to the ECG features detection with support vector machine learning algorithm for heart diseases diagnosis and features classification, the system gives feedback report and proposal, and transmits them to the mobile terminal.

Provided is an image processing device including a matching unit that performs matching processing between a predetermined pattern on a surface of a 3D model of a biological tissue including an operating site generated on the basis of a preoperative diagnosis image and a predetermined pattern on a surface of the biological tissue included in a captured image during surgery, a shift amount estimation unit that estimates an amount of deformation from a preoperative state of the biological tissue on the basis of a result of the matching processing and information regarding a three-dimensional position of a photographing region which is a region photographed during surgery on the surface of the biological tissue, and a 3D model update unit that updates the 3D model generated before surgery on the basis of the estimated amount of deformation of the biological tissue.

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

A personal wearable headband having far infrared and temperature measurement functions includes a headband body defining a headband receiving space and having a plurality of far infrared particles blended in the headband body, a window communicating with the headband receiving space, and a through hole communicating with the headband receiving space and opposite to the window. A temperature measuring unit is disposed in the headband receiving space and includes a temperature measuring element configured to contact the forehead of a user for detecting a temperature thereof, and a display screen corresponding in position to the window and configured to display the temperature detected by the temperature measuring element.

A fall detection system includes a wearing apparatus for wearing by a user and a processor connected to the wearing apparatus. The wearing apparatus is set with an inertial sensor for detecting user motion data. The processor is connected with the inertial sensor of the wearing apparatus. When the user's fall state is recognized, further obtaining the motion data of the user at the time of the stand by the inertial sensor and comparing the motion data according to a normal posture condition and/or an abnormal posture condition in a database to determine damage severity of the user.

The present disclosure describes a closed-loop fluid resuscitation and/or cardiovascular drug administration system that uses continuous measurements and adaptive control architecture. The adaptive control architecture uses a function approximator to identify unknown dynamics and physiological parameters of a patient to compute appropriate infusion rates and to regulate the endpoint of resuscitation.

In the present invention, a system and associated method is provided for monitoring vital parameters of a patient. The monitoring system includes sensors disposed on the patient and operably connected to a monitor. The parameters that are sensed by the sensors are transmitted to the monitor and compared with alarm thresholds and operational criteria stored within the monitor. When an alarm condition is sensed by the system, the system can actively solicit patient assistance in the confirmation of the alarm condition based on a set of reactive inputs stored within the system to enable medical personnel to appropriately respond to clinically relevant sensed alarm condition(s).

In the present invention, a system and associated method is provided for monitoring vital parameters of a patient. The monitoring system includes sensors disposed on the patient and operably connected to a monitor. The parameters that are sensed by the sensors are transmitted to the monitor and compared with alarm thresholds stored within the monitor. The alarm thresholds stored within the monitor are modified by inputs supplied to the monitor regarding the particular condition(s) of the patient being monitored to provide more accurate alarm determinations for the patient. The dynamic adjustment of the alarm threshold during monitoring can be based on a set of proactive inputs to prevent and/or limit the occurrence of unnecessary or clinically irrelevant alarm conditions or a set of reactive inputs that follow immediately after an alarm event is detected, to enable medical personnel to appropriately respond to sensed alarm condition(s).

The present invention relates to systems and methods for remotely monitoring the health of a patient in a real-time, continuous manner, remotely deliver therapeutic medications to the patient, and facilitating communication between the patient and a remotely located patient care provider.