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.

Methods, apparatuses, and systems for robotic insertion of a screw, a rod, or another component of a surgical implant into a patient are disclosed. Synchronous insertion of screws is performed by multiple surgical robots or a single surgical robot having multiple arms and end effectors. The movements of each robotic arm are coordinated into position in preparation of the insertion of multiple surgical implant components at the same time or in the same surgical step. The insertion of the surgical implant components is performed while monitoring the insertion progress. The insertion is completed autonomously or in coordination with a surgeon.

This document discusses, among other things, systems and methods for managing pain of a subject. A system includes one or more physiological sensors configured to sense a physiological signal indicative of patient brain activity. The physiological signals may include an electroencephalography signal, a magnetoencephalography signal, or a brain-evoked potential. The system may extract from the brain activity signal one or more signal metrics indicative of strength or pattern of brain electromagnetic activity associated with pain, and generate a pain score using the one or more signal metrics. The pain score can be output to a patient or a process. The system may select an electrode configuration for pain-relief electrostimulation based on the pain score, and deliver a closed-loop pain therapy according to the selected electrode configuration.

This document discusses, among other things, systems and methods for managing pain of a subject. A system includes one or more physiological sensors configured to sense a physiological signal indicative of patient brain activity. The physiological signals may include an electroencephalography signal, a magnetoencephalography signal, or a brain-evoked potential. The system may extract from the brain activity signal one or more signal metrics indicative of strength or pattern of brain electromagnetic activity associated with pain, and generate a pain score using the one or more signal metrics. The pain score can be output to a patient or a process. The system may select an electrode configuration for pain-relief electrostimulation based on the pain score, and deliver a closed-loop pain therapy according to the selected electrode configuration.

Aspects of the present disclosure are directed to devices, systems, and methods for optimized integration of a human operator with a machine for safe and efficient operation. Accordingly, aspects of the present disclosure are directed to systems, methods, and devices which evaluate and determine a cognitive state of an operator, and allocate tasks to either the machine and/or operator based on the cognitive state of the operator, among other factors.

The present invention relates to a system (10) for functional magnetic resonance image data acquisition. The system comprises an input unit (20), a magnetic resonance imaging “MRI” device (30), an electroencephalography “EEG” data acquisition device (40), and a processing unit (50). The input unit is configured to provide task based information to a patient, wherein the task based information extends over a period of time. The MRI device is configured to acquire functional magnetic resonance imaging “fMRI” data relating to brain activity of the patient, wherein the fMRI data extends over the period of time. The EEG device is configured to acquire EEG data relating to electrical activity of the brain of the patient, wherein the EEG data extends over the period of time. The processing unit is configured to utilize the task based information that extends over the period of time and the EEG data that extends over the period of time to determine at least one first sub-set period of time over the period of time. The processing unit is configured to determine an action associated with acquisition of the fMRI data over the at least one first sub-set period of time.

A stimulation device includes a body containing at least one stimulation means adapted to be transcutaneously attached to the neck of a subject. The stimulation means is adapted to generate a stimulating signal during a stimulating state. The stimulation means is positioned to be in stimulating contact with the sternocleidomastoid muscle and the trunks of the lesser occipital nerve, greater auricular nerve, transverse cervical nerve or supraclavicular nerve with their autonomic fibers synchronously. The stimulation can be provided in the form an electrical, optical, vibrational, thermal, mechanical and/or magnetic stimulation. The stimulation device can be used bilaterally on the right and left sides of the subject's neck, working as a system in a synchronous or alternating manner.

Methods, apparatuses, and systems for robotic insertion of a screw, a rod, or another component of a surgical implant into a patient are disclosed. Synchronous insertion of screws is performed by multiple surgical robots or a single surgical robot having multiple arms and end effectors. The movements of each robotic arm are coordinated into position in preparation of the insertion of multiple surgical implant components at the same time or in the same surgical step. The insertion of the surgical implant components is performed while monitoring the insertion progress. The insertion is completed autonomously or in coordination with a surgeon.

Systems, methods, and non-transitory media are provided for a vehicle and mobile device interface for vehicle occupant assistance. An example method can include determining, based on one or more images of an interior portion of a vehicle, a pose of a mobile device relative to a coordinate system of the vehicle; determine a state of an occupant of the vehicle;

and send, to the vehicle, data indicating the state of the occupant and the pose of the mobile device relative to the coordinate system of the vehicle.

Systems, methods, and non-transitory media are provided for a vehicle and mobile device interface for vehicle occupant assistance. An example method can include determining, based on one or more images of an interior portion of a vehicle, a pose of a mobile device relative to a coordinate system of the vehicle; determine a state of an occupant of the vehicle;

and send, to the vehicle, data indicating the state of the occupant and the pose of the mobile device relative to the coordinate system of the vehicle.