Disclosed are a system and method of detection of an interaction-error. The interaction-error is derived from an incorrect decision and is directed to interacting with a machine. During human-machine interaction, command related data values are obtained. Command related data values characterize any one of an interacting-command and an interacting-action. The command related data values are compared with command related reference data values, and an interaction-error is identified if a difference between the command related data values and the command related reference data values complies with a predefined criterion.

Disclosed are a system and method of detection of an interaction-error. The interaction-error is derived from an incorrect decision and is directed to interacting with a machine. During human-machine interaction, command related data values are obtained. Command related data values characterize any one of an interacting-command and an interacting-action. The command related data values are compared with command related reference data values, and an interaction-error is identified if a difference between the command related data values and the command related reference data values complies with a predefined criterion.

A system of generating a pre-operative assessment of a patient includes one or more client electronic devices, and an assessment system configured to communication with the client electronic devices via a communication network. The assessment system includes one or more computing devices and a computer-readable storage medium. The computer-readable storage medium includes programming instructions that, when executed, cause the computing devices to receive patient information pertaining to a patient one or more of the client electronic devices, use at least a portion of the patient information to access one or more medical images associated with the patient, perform one or more image processing techniques on the medical images to identify, from medical images, a condition associated with the patient, generate a pre-operative assessment for the patient based on the patient information and the condition, and cause the assessment to be displayed on a display device of the client electronic devices.

A diagnostic system for measuring and analyzing startle response of a subject comprises a stimuli delivery circuitry, whereby startle stimuli and prepulse stimuli are delivered to the subject. Said diagnostic system comprises at least one sensor circuitry, whereby the startle response(s) of the subject are detected and recorded. Said sensor circuitry comprises at least one electrode and one eye response measuring system, such as a camera. Said diagnostic system comprises a diagnosis circuitry whereby the features of the startle response(s) and prepulse inhibition of the subject are extracted and analyzed. Said startle response(s) of said subject detected by said sensor circuitry comprise eye response, such as pupillary response and/or eyeblink response, post-auricular muscle response and intrinsic auricular muscle response.

A diagnostic system for measuring and analyzing startle response of a subject comprises a stimuli delivery circuitry, whereby startle stimuli and prepulse stimuli are delivered to the subject. Said diagnostic system comprises at least one sensor circuitry, whereby the startle response(s) of the subject are detected and recorded. Said sensor circuitry comprises at least one electrode and one eye response measuring system, such as a camera. Said diagnostic system comprises a diagnosis circuitry whereby the features of the startle response(s) and prepulse inhibition of the subject are extracted and analyzed. Said startle response(s) of said subject detected by said sensor circuitry comprise eye response, such as pupillary response and/or eyeblink response, post-auricular muscle response and intrinsic auricular muscle response.

The present invention is directed to a wearable system wherein elements of the system, including various sensors adapted to detect biometric and other data and/or to deliver drugs, are positioned proximal to, on the ear or in the ear canal of a person. In embodiments of the invention, elements of the system are positioned on the ear or in the ear canal for extended periods of time. For example, an element of the system may be positioned on the tympanic membrane of a user and left there overnight, for multiple days, months, or years. Because of the position and longevity of the system elements in the ear canal, the present invention has many advantages over prior wearable biometric and drug delivery devices.

The present invention is directed to a wearable system wherein elements of the system, including various sensors adapted to detect biometric and other data and/or to deliver drugs, are positioned proximal to, on the ear or in the ear canal of a person. In embodiments of the invention, elements of the system are positioned on the ear or in the ear canal for extended periods of time. For example, an element of the system may be positioned on the tympanic membrane of a user and left there overnight, for multiple days, months, or years. Because of the position and longevity of the system elements in the ear canal, the present invention has many advantages over prior wearable biometric and drug delivery devices.

The invention relates to an implantable sensor for detecting an electrical excitation of muscle cells, in particular cardiac muscle cells, wherein it is provided that the sensor comprises a dielectric component and a contact point for contacting muscle cells, which is connected to the dielectric component, so that an electric field in the dielectric component, and correspondingly a capacitance of the dielectric component, change with an electrical excitation of the muscle cells. The invention furthermore relates to a system comprising a sensor and an implant.

A doctor health monitoring system based on a medical apparatus includes the medical apparatus (1), a detection system (2), a control system (3) and an artificial intelligence system (14). The detection system (2) is configured to detect health indicators of doctors and send the detected health indicators to the control system (3). The control system (3) and the artificial intelligence system (14) are integrated within the medical apparatus (1). The control system (3) is configured to send the detected health indicators from the detection system to a display device (11) for display. The artificial intelligence system (14) is configured to analyze the detected health indicators in the cloud server (12) for obtaining a diagnostic accuracy of the detected health indicators and a physical health status of the doctors. The detection system (2) capable of detecting the health indicators of the doctors is connected with the medical apparatus (1).

A doctor health monitoring system based on a medical apparatus includes the medical apparatus (1), a detection system (2), a control system (3) and an artificial intelligence system (14). The detection system (2) is configured to detect health indicators of doctors and send the detected health indicators to the control system (3). The control system (3) and the artificial intelligence system (14) are integrated within the medical apparatus (1). The control system (3) is configured to send the detected health indicators from the detection system to a display device (11) for display. The artificial intelligence system (14) is configured to analyze the detected health indicators in the cloud server (12) for obtaining a diagnostic accuracy of the detected health indicators and a physical health status of the doctors. The detection system (2) capable of detecting the health indicators of the doctors is connected with the medical apparatus (1).