One aspect of the present disclosure relates to a method for providing motor impairment-related information, comprising the steps of: (a) measuring a brain network index according to movement performance of an affected side part of a subject; and (b) comparing the brain network index measured in step (a) with a brain network index according to movement performance of an unaffected side part of the subject. In addition, another aspect of the present disclosure relates to a device for providing a motor impairment-related information that provides a brain network index obtained according to movement performance of a subject. The method or device for providing motor impairment-related information of the present invention according to the present disclosure has an excellent effect of providing information on prognosis for motor impairment, motor impairment-related diagnosis, or motor impairment-related rehabilitation.

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.

The present invention relates to an immunoglobulin therapy. In particular, an immunoglobulin therapy for treating CIDP with non-axonal damage or mild axonal damage is provided.

Presented herein are techniques for specifically electrically stimulating a recipient's vestibular system in order to treat motor disorders. such as ataxia or Parkinson's Disease. More specifically. in accordance with embodiments presented herein, one or more electrodes are implanted in a recipient so as to deliver electrical stimulation (e.g., current) signals to a portion of the vestibular in a manner that remediates motor disorder symptoms experienced by the recipient.

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.

Restless Leg Syndrome (RLS) or Periodic Limb Movement Disorder (PLMD) can be treated using high frequency (HF) electrostimulation. This can include selecting or receiving a subject presenting with RLS or PLMD. At least one electrostimulation electrode can be located at a location associated with at least one of, or at least one branch of, a sural nerve, a peroneal nerve, or a femoral nerve. HF electrostimulation can be delivered to the subject, which can include delivering subsensory, subthreshold, AC electrostimulation at a frequency that exceeds 500 Hz and is less than 15,000 Hz to the location to help reduce or alleviate the one or more symptoms associated with RLS or PLMD. A charge-balanced controlled-current HF electrostimulation waveform can be used.

Proposed is a health care monitoring and smart home convergence system based on a built-in ceiling IoT radar sensor. The health care monitoring and smart home convergence system includes the built-in ceiling IoT radar sensor, and a health analysis part. The built-in ceiling IoT radar sensor is installed into a ceiling of a bedroom, and configured to measure a user's heart rate or respiratory rate on the basis of time of flight (ToF) of a radar signal to generate biosignal data. The health analysis part is configured to analyze the user's sleep pattern on the basis of the biosignal data, and uses the sleep pattern to generate health prediction information on the user's health state.

In some embodiments, a display system comprising a head-mountable, augmented reality display is configured to perform a neurological analysis and to provide a perception aid based on an environmental trigger associated with the neurological condition. Performing the neurological analysis may include determining a reaction to a stimulus by receiving data from the one or more inwardly-directed sensors; and identifying a neurological condition associated with the reaction. In some embodiments, the perception aid may include a reminder, an alert, or virtual content that changes a property, e.g. a color, of a real object. The augmented reality display may be configured to display virtual content by outputting light with variable wavefront divergence, and to provide an accommodation-vergence mismatch of less than 0.5 diopters, including less than 0.25 diopters.

A neuromodulation system for treatment of physiological disorders. The system includes one or more stimulators for stimulating one or more cranial nerves; one or more detectors configured for detecting a predetermined physiological state; and a control unit that controls nerve stimulation by the one or more stimulators so that it is synchronized with the at least one predetermined physiological state detected by the one or more detectors. A method of neuromodulating a patient for treatment of physiological disorder. The method includes the steps of detecting a predetermined physiological state and applying stimulation to one of the cranial nerves during the predetermined physiological state by one or more stimulators of a neuromodulation system.

The inventors discovered that three-dimensional posture and time series motion data are capable of providing robust, accurate and objective assessments of patient musculoskeletal health. Through the coupling of novel kinematic modeling and dimensionality reduction techniques, the invention is able to utilize posture and motion trajectory data in order to identify various neuromuscular and musculoskeletal conditions previously indistinguishable through the use of conventional clinical assessments. Further, by leveraging recent advancements in motion capture technologies, the invention provides approaches and systems adapted for remote implementation, allowing for quantitative and objective assessments to be collected over time and at reduced cost. Methods of generating a biomechanical assessment for a patient are provided.