Disclosed embodiments provide techniques for monitoring application program interface (API) health based on design-time checks and runtime performance. The health of an API can include multiple factors. The factors may include correctness of the data returned/output by the API. A high amount of incorrect data may correlate to a lower health metric. A low amount of incorrect data may correlate to a higher health metric. If a health metric value falls below a predetermined threshold, it may indicate that the API health is poor, and hence, should not be used, or should be used with caution, depending on the application. In embodiments, an alternate API may be automatically selected as a replacement for an API in response to a health metric falling below a predetermined threshold.

Provided is a data processing apparatus including a signal data processor configured to collect signal data detected through polysomnography, to extract feature data by analyzing a feature of the collected signal data, and to transform the extracted feature data to time series data; and a sleep stage classification model processor configured to input the processed signal data to a pre-generated sleep stage classification model, and to classify a sleep stage corresponding to the signal data. The signal data processor is configured to extract feature data by analyzing a feature of each of an electroencephalographic (EEG) signal, an electro-oculographic (EOG) signal, and an electromyographic (EMG) signal with respect to the signal data, and to transform the extracted feature data to an epoch unit of time series data to input the extracted feature data to the pre-generated sleep stage classification model.

In a method and apparatus for determining an examination duration tolerable by a patient in and/or on a diagnostic examination device, the patient to be examined is observed at least in a preliminary stage of the examination concerned, during which measurement parameters are ascertained. From the measurement parameters, an algorithm determines a statement about the dwell capability of the patient in the examination device. The algorithm can be an artificial neural network.

An embodiment of the present disclosure discloses a device including a housing and a biometric sensor, the biometric sensor is configured to sense whether a first part of a human body is in contact with a first electrode and a second electrode, detect whether a second part of the human body is in contact with a third electrode and a fourth electrode, obtain phase information of the impedance of the human body by using the first, second, third and fourth electrodes, determine whether the acquired phase information of the impedance is within a designated range, and provide a guide for a measurement method when the acquired phase information of the impedance deviates from the designated range. Various other embodiments identified through the specification are possible.

User interface devices, systems, and methods can be used for selectively bending of, altering the bend characteristics of, and/or altering the lengths of catheter bodies, guidewires, steerable trocars, and other flexible structures inserted into a patient during use. Optionally, a housing is coupled to a proximal end of a catheter, and movement of the housing by a hand of a system user is sensed and used as a movement command for articulation of the catheter. Alternatively, a sensor can be coupled to an elongate flexible body flexing outside of the patient so as to alter bending of a catheter within the patient. Movements generated through a combination of manual manipulation and powered articulations are facilitated.

User interface devices, systems, and methods can be used for selectively bending of, altering the bend characteristics of, and/or altering the lengths of catheter bodies, guidewires, steerable trocars, and other flexible structures inserted into a patient during use. Optionally, a housing is coupled to a proximal end of a catheter, and movement of the housing by a hand of a system user is sensed and used as a movement command for articulation of the catheter. Alternatively, a sensor can be coupled to an elongate flexible body flexing outside of the patient so as to alter bending of a catheter within the patient. Movements generated through a combination of manual manipulation and powered articulations are facilitated.

An automatic evolution method used for a brainwave database which collects physiological information of brainwaves about healthy and clinical groups, the automatic evolution method includes: classifying the physiological information of brainwaves collected by the brainwave database according to data characteristics; establishing a feedback algorithm model based on a neural network architecture according to the physiological information of brainwaves classified by the parameters; using the feedback algorithm model to input a subject's physiological information of brainwaves; measuring an accuracy of the subsequent performance data calculated by the feedback algorithm model; and incorporating the physiological information of brainwaves of the subject into the brainwave database, establishing an updated feedback algorithm model based on an updated neural network architecture, and feeding a comparison result generated by the updated feedback algorithm model back to the subject.

User-specific medical, genetic, fitness, environmental and nutritional data is collected to develop personalized health and wellness programs for improving a user's health and wellness. The user-specific data may be collected from medical or genetic tests, mobile health devices worn by the user and applications through which the user manually inputs information. The user-specific data is then collected and analyzed together based on knowledge of the interrelationships between medical, genetic, fitness, environmental and nutrition data to develop a comprehensive user profile and personalized health and wellness programs that are targeted to improving specific areas of the user's health by implementing changes in fitness, nutrition, medical treatment, environment, etc. The user is provided with a customizable, interactive dashboard graphical user interface of their current health and wellness data, which, along with notifications, incentives and rewards, helps the user improve their overall health and wellness and significantly reduce their risk of morbidity.

A device includes software instructions for a circular plot analysis agent and at least one circular plot definition. The circular plot analysis agent obtains a digital image of a circular plot, detects a perimeter of the circular plot within the digital image, detects a plurality of edges within the perimeter, identifies a set of endpoints on the perimeter as a function of the plurality of edges, generates a plot descriptor from the set of endpoints, and initiates a transaction with a second device as a function of the plot descriptor.

A system configured to receive health data pertaining to a user; select a user health profile from a plurality of user health profiles based on the collected health data, each of the plurality of user health profiles being associated with a health and wellness program and a set of interventions; receive user activity data and updated health data pertaining to, or during the user's participation in the associated health and wellness program from health devices; select a new set of interventions based on the user activity data; and select a new user health profile from the plurality of user health profiles based on at least one of the user activity data and the updated health data.