Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: Systems and methods are disclosed for conducting spinal cord stimulation or other neurostimulation and sensing evoked compound action potential (ECAP) signals. The sensed signals may be processed to isolate ECAP features from noise and/or interfering signals. The isolated ECAP features may be used to control neurostimulation therapy for the patient and/or guide an implant procedure.

Abstract: Systems and methods are disclosed for conducting spinal cord stimulation or other neurostimulation and sensing evoked compound action potential (ECAP) signals. The sensed signals may be processed to isolate ECAP features from noise and/or interfering signals. The isolated ECAP features may be used to control neurostimulation therapy for the patient and/or guide an implant procedure.

Abstract: Systems and methods are disclosed for conducting spinal cord stimulation or other neurostimulation and sensing evoked compound action potential (ECAP) signals. The sensed signals may be processed to isolate ECAP features from noise and/or interfering signals. The isolated ECAP features may be used to control neurostimulation therapy for the patient and/or guide an implant procedure.

Abstract: The present disclosure provides systems and methods for providing neurostimulation therapy using multi-dimensional patient features. The multi-dimensional patient features may include features in respective frequency bands for selected cortical sites from EEG localization data. Additionally or alternatively, the multi-dimensional patient features may include features from patient physiological data or other patient activity data. The multi-dimensional feature data may be compared against AI/ML models of patient and/or healthy population members. Closed-loop therapy adjustments may be applied to a respective patient’s neurostimulation therapy using the multi-dimensional patient feature analysis.

Abstract: The present disclosure provides systems and methods for providing neurostimulation therapy using multi-dimensional patient features. The multi-dimensional patient features may include features in respective frequency bands for selected cortical sites from EEG localization data. Additionally or alternatively, the multi-dimensional patient features may include features from patient physiological data or other patient activity data. The multi-dimensional feature data may be compared against AI/ML models of patient and/or healthy population members. Closed-loop therapy adjustments may be applied to a respective patient's neurostimulation therapy using the multi-dimensional patient feature analysis.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: Provided are prefrontal-based brain-machine interfacing apparatus and a method thereof.

Abstract: A method for providing a prefrontal activity game is provided. The method includes providing a visual stimulus to induce eye movement of a user, sensing the eye movement of the user in response to the visual stimulus, and displaying a result as to whether the user has successfully accomplished a mission in response to the visual stimulus according to a result of the sensing.

Abstract: A mobile body control device includes: a brain activity detecting unit that detects brain activity information of a user; a brain signal separating unit that separates an artifact component from the brain activity information detected by the brain activity detecting unit; a control signal generating unit that slides a sampling period for extracting brain data, at predetermined intervals in an overlapped manner in the brain activity information from which the artifact component is separated, successively calculates feature values for the brain data within each of the sampling periods obtained by sliding, and generates a control signal based on the feature values calculated; and a drive control unit that drives and controls a mobile body with a user riding thereon, based on the control signal generated.