A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided. The system includes an intelligent bio-signal processing system that is operable to: capture bio-signal data and in addition optionally non-bio-signal data; and analyze the bio-signal data and non-bio-signal data, if any, so as to: extract one or more features related to at least one individual interacting with the biofeedback computer system; classify the individual based on the features by establishing one or more brain wave interaction profiles for the individual for improving the interaction of the individual with the one or more biofeedback computer systems, and initiate the storage of the brain waive interaction profiles to a database; and access one or more machine learning components or processes for further improving the interaction of the individual with the one or more biofeedback computer systems by updating automatically the brain wave interaction profiles based on detecting one or more defined interactions between the individual and the one or more of the biofeedback computer systems. A number of additional system and computer implemented method features are also provided.

A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided. The system includes an intelligent bio-signal processing system that is operable to: capture bio-signal data and in addition optionally non-bio-signal data; and analyze the bio-signal data and non-bio-signal data, if any, so as to: extract one or more features related to at least one individual interacting with the biofeedback computer system; classify the individual based on the features by establishing one or more brain wave interaction profiles for the individual for improving the interaction of the individual with the one or more biofeedback computer systems, and initiate the storage of the brain waive interaction profiles to a database; and access one or more machine learning components or processes for further improving the interaction of the individual with the one or more biofeedback computer systems by updating automatically the brain wave interaction profiles based on detecting one or more defined interactions between the individual and the one or more of the biofeedback computer systems. A number of additional system and computer implemented method features are also provided.

Systems and methods for clinician decision support during mechanical ventilation of a patient comprise evaluating a shape and/or characteristics of a waveform to detect an anomaly. While mechanical ventilators are equipped with a number of alarms and alerts when monitored patient data breaches various alarm thresholds, some anomalies in patient data may go unnoticed by clinicians. These anomalies, however, may provide relevant information regarding patient condition. Accordingly, in response to detecting an anomaly, the ventilator captures at least a portion of the waveform. The waveform capture, which may be annotated with various labels and educational information, may be reviewed by a clinician to obtain additional information regarding the anomaly. In this way, clinicians may be trained to recognize and address anomalies associated with waveform data and thereby be armed with information to optimize patient-ventilator interaction.

Systems and methods for clinician decision support during mechanical ventilation of a patient comprise evaluating a shape and/or characteristics of a waveform to detect an anomaly. While mechanical ventilators are equipped with a number of alarms and alerts when monitored patient data breaches various alarm thresholds, some anomalies in patient data may go unnoticed by clinicians. These anomalies, however, may provide relevant information regarding patient condition. Accordingly, in response to detecting an anomaly, the ventilator captures at least a portion of the waveform. The waveform capture, which may be annotated with various labels and educational information, may be reviewed by a clinician to obtain additional information regarding the anomaly. In this way, clinicians may be trained to recognize and address anomalies associated with waveform data and thereby be armed with information to optimize patient-ventilator interaction.

Systems and methods for human-machine interaction using a conversation system.

Disclosed are information transmission method, apparatus, device and medium for medical imaging application. The method includes: an imaging device corresponding to an application authorization request is determined according to the received application authorization request, and an application permission profile of the imaging device is acquired; and a medical imaging application corresponding to the imaging device is determined according to the application permission profile of the imaging device, and medical imaging application information corresponding to the medical imaging application is transmitted to the imaging device.

Disclosed are information transmission method, apparatus, device and medium for medical imaging application. The method includes: an imaging device corresponding to an application authorization request is determined according to the received application authorization request, and an application permission profile of the imaging device is acquired; and a medical imaging application corresponding to the imaging device is determined according to the application permission profile of the imaging device, and medical imaging application information corresponding to the medical imaging application is transmitted to the imaging device.

A surgical system includes a control circuit, a surgical instrument, and a user interface is disclosed. The surgical instrument includes a plurality of components and a sensor. Each of the plurality of components of the surgical instrument includes a device parameter and is configured to transmit its respective device parameter to the control circuit. The sensor of the surgical instrument is configured to detect a tissue parameter associated with a proposed function of the surgical instrument, and transmit the detected tissue parameter to the control circuit. The control circuit is configured to analyze the detected tissue parameter in cooperation with each respective device parameter based on a system-defined constraint. The user interface is configured to indicate whether the surgical instrument comprising the plurality of components is appropriate to perform the proposed function.

A surgical system includes a control circuit, a surgical instrument, and a user interface is disclosed. The surgical instrument includes a plurality of components and a sensor. Each of the plurality of components of the surgical instrument includes a device parameter and is configured to transmit its respective device parameter to the control circuit. The sensor of the surgical instrument is configured to detect a tissue parameter associated with a proposed function of the surgical instrument, and transmit the detected tissue parameter to the control circuit. The control circuit is configured to analyze the detected tissue parameter in cooperation with each respective device parameter based on a system-defined constraint. The user interface is configured to indicate whether the surgical instrument comprising the plurality of components is appropriate to perform the proposed function.

Systems and methods are disclosed herein for switching an application executing on an ambulatory medical device to a new application without interrupting therapy provided by the ambulatory medical device to a subject. The ambulatory medical device may receive an indication that an update to an application executing on the ambulatory insulin pump is available, establish a communication connection to a host computing system, download and install the application update, while a prior version of the application continues to run. The disclosed systems and methods can confirm successful installation of the application update on the ambulatory medical device and switch control of the ambulatory medical device from the prior version to the new version of the application without interrupting therapy provided to the subject.