An active implantable medical device (IMD) which, in operation: repeatedly senses a body temperature of a person having the IMD implanted therein; stores the sensed body temperature values; repeatedly senses a cardiac physiologic parameter of the person; stores the sensed cardiac physiologic parameter values; determines whether one of the body temperature values exceeds a predefined body temperature threshold; if an excess is determined, the IMD: determines whether one of the cardiac physiologic parameter values exceeds a predefined cardiac physiologic parameter threshold, wherein the one cardiac physiologic parameter value is determined in the same time period as the one body temperature value exceeding the body temperature threshold; classifies an infection of the person as a local infection if the one cardiac physiologic parameter value does not exceed the threshold; or classifies an infection of the person as a systemic infection if the one cardiac physiologic parameter value exceeds the threshold.

The disclosure relates to a method for acquiring and for altering a configuration of a number of objects in a procedure room for planning and for collision avoidance during a medical procedure, wherein each object is represented by a virtual model, including a physical model of the object and a safety zone around the physical model. The physical model represents the configuration of the object and the safety zone represents a collision-prevention area for a movement of any of the objects during a medical procedure. The virtual models of the objects are placed at a position in a virtual model of the procedure room. Additionally, the configurations of the physical models during the medical procedure are computed and the configuration of the physical model of the corresponding object is altered when a collision during the movement is determined. The disclosure further relates to a device for executing the method.

A method for continuous acoustic signature recognition and classification includes a step of obtaining an audio input signal from a resonant microphone array positioned proximate to a target, the audio input signal having a plurality of channels. The target produces characterizing audio signals depending on a state or condition of the target. A plurality of features is extracted from the audio input signal with a signal processor. The plurality of features is classified to determine the state of the target. An acoustic monitoring system implementing the method is also provided.

One aspect of the apparatus comprising, a sensor configured to acquire a biological signal of a user, and a controller configured to, determine whether the biological signal is continuously outside a predetermined range for a first time period, after determining that the biological signal has been continuously outside the predetermined range for the first time period, then determine whether the biological signal is inside the predetermined range, and activate an alarm if the controller has determined that (i) the biological signal has been outside the predetermined range for the first time period, and (ii) the biological signal has been continuously inside the predetermined range for a second time period, the second time period being longer than the first time period.

A device for diagnosing an abnormality by measuring a minimal change in a muscle according to an embodiment includes a vibration unit that provides vibration to a body part of a user; a measuring unit that detects a minimal change in a muscle by measuring a change in elasticity of the body part according to the vibration; and a processing unit that calculates an abnormality of the body part based on the change in the elasticity of the body part, wherein the processing unit calculates the abnormality of the body party by using an algorithm that detects a degree to which a specific value of the muscle is far from a distribution chart by analyzing data distribution or an anomaly detection algorithm that detects whether there is anomaly in a variable.

Systems and methods for aiding, supplementing, and/or increasing the monitoring capabilities of responsible persons over a supervised person are disclosed herein. In some implementations, the system includes one or more controlling persons, one or more supervising persons, a supervised person, and a cloud server. Each of the controlling persons and the supervising persons can have a personal electronic device. The supervised person can have a wearable electronic device. The electronic devices allow the controlling persons and the supervising persons to actively communicate with the cloud server to upload data related to the supervised person that is accessibly stored in the cloud server. In turn, the wearable device can include one or more sensors to measure and communicate various bioindicators to the cloud server. The system allows the controlling persons to monitor the health of, development of, and/or current control over the supervised person.

Various embodiments described herein relate to an intelligent warning system in a communication service. One embodiment of the present invention analyzes a user's biometric signals and image data of one of the users in a communication session to determine a distress level. In addition, location data indicating the user's velocity and direction can be used to determine a distress level. If the biometric signals or the image data indicate a distress level that meets or exceeds a threshold level, a notification is automatically sent to a remote user. This can allow a remote user to render assistance to a user in distress, even when the user is unable to communicate one or more conditions.

In a method and system, a medical imaging modality and the parameters to be deployed for the determined imaging modality are determined to produce an image of an examination object using the determined imaging modality and the determined parameters. Information from the preliminary examination(s) of the examination object can be automatically classified to generate classification results corresponding to interfering influence(s) resulting from the production of the image. The classification results can be analyzed to evaluate the classification results. The medical imaging modality and the parameter(s) is determined, based on the evaluated results, to minimize an influence of the interfering influences of the classification results in image(s) of the examination object generated using the determined medical imaging modality and the determined one or more parameters. The image(s) may then be generated using the determined medical imaging modality and the determined parameter(s).

Systems and methods for correlating inputs found external to a user to inputs measured from the user are disclosed, using wearables, various types of non-wearable sensors, and other external data sources and mobile device technology. Pattern matching and rules can be used to provide useful suggestions or control external machines based on the correlated inputs.

A medical monitoring system for use in residential facilities, nursing homes, or home environments is disclosed. The system utilizes a variety of modules and wearable medical devices that convey vital patient information to a series of smart hubs which are connected to the cloud. In the event a change in medical status of a patient occurs, the health care workers receive an Alert notifying them of which specific patient needs attention. The system is monitored using a specialized dashboard.