A method for simultaneous imaging and image processing of neuromelanin and nigrosome 1 using 3D multi-echo GRE performed by a computer includes: a step (S120) of acquiring a neuromelanin (NM) image (130) and a multi-echo gradient recalled echo (GRE) brain image with a more enhanced contrast ratio than an MRI image by applying two spatial saturation pulses to a 3D multi-echo GRE; a step (S150) of generating a susceptibility map weighted imaging (SMWI) image (140) for nigrosome 1 (N1) using the 3D multi-echo GRE image acquired in the acquisition step (S120); and an inference step (S170) of analyzing, by a neural network (NN) model, the NM image (130) and the SMWI image (140) to quantify volumes of the neuromelanin (NM) and the nigrosome 1 (N1).

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 method and system utilize unexpected combinations of cognitive exercises to provide routines performed simultaneously with aerobic exercise to address cognitive impairments. Cognitive exercises comprise specific steps in order to interact with a specific cognitive domain. All stimuli may be aural. Specific combinations of cognitive exercises are created to engage selected brain circuits and are correlated to specific cognitive impairments. The method may remediate selected cognitive impairments and strengthen cognitive abilities. The user responds to instructions for each exercise and performs each exercise in a specific order for a specific duration of time and through a specific number of sets. A processor performs a program comprising the routines and evaluates performance of a user. A program may be customized for an individual user. An individual user's data is processed to evaluate progress. Large libraries of data for multiple users may be processed to provide statistical databases.

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.

A system for detecting motion disorder of a user of a head-wearable device includes: at least one motion sensor, providing motion data of the user of the head-wearable device; the head wearable device, with a processing unit for processing the motion data provided by the at least motion sensor and with a memory unit for storing the processed motion data. The processing unit has a processor adapted to perform the following: i) analyzing the motion data and thereby generating analyzed motion data, including classifying the motion data to different motion classes; j) storing the analyzed motion data; k) comparing current motion data with reference motion data, wherein the reference motion data is selected from the group of previously stored motion data of the same motion class and external reference motion data; and l) submitting a warning signal if the current motion data inadmissible differs from the reference motion data.

The presently disclosed subject matter relates to a play environment for children and infants for detecting motor delays or impairments, evaluating neurological development, and for diagnosing developmental disorders, and methods and systems of using the same.

The present disclosure discusses systems and methods for identifying biomarkers that can help with the diagnosis, prognosis, and treatment choices of patients with neurodegenerative diseases. Diffusion based magnetic resonance imaging can often fail for patients with a neurodegenerative disease because parameters fractional anisotropy, mean diffusivity, and radial diffusivity are based on simple models that can fail in the presence of neurodegeneration, such as demyelination. The present disclosure discusses systems and methods that enhance dMRI images and enable tractography to be performed on images of a damaged nervous system. The damaged tracks identified by the present system can be used as a biomarker for the assessment of patients. In some implementations, the biomarkers are converted into clinical scales that can be used to compare patients to one another or over time.

A neuromuscular assessment system and method of operation can include: affixing a first electrode array to an agonist muscle configured to detect a first Electromyography (EMG) signal; affixing a second electrode array to an antagonist muscle configured to detect a second EMG signal, the agonist muscle and the antagonist muscle forming an agonist/antagonist muscle pair; decomposing the first EMG signal into a first motor unit spike train; decomposing the second EMG signal into a second motor unit spike train; correlating the first motor unit spike train and the second motor unit spike train to generate correlated signals; determining synchronicity and periodicity within the correlated signals; and generating a tremor fraction, the tremor fraction being a percentage of the correlated signals determined to have both the synchronicity and the periodicity.

The present disclosure describes a measurement unit including measurement electronics, a wireless transceiver unit, and a processing. The measurement electronics are configured to measure an EMG signal and a motion signal from a limb of a person. The processing unit is configured to determine a principal component representation of the EMG signal and the motion signal in real time, wherein the principal component representation represents a projection of at least one feature of the EMG signal and at least one feature of the motion signal into at least one uncorrelated feature in a feature space formed by orthogonal basis vectors, and transmit the principal component representation to an external system with the wireless transceiver unit.

Disclosed is a method for diagnosing a neurodegenerative disease in a subject. The method comprises obtaining from the subject a sample comprising at least one live blood cell, and optionally isolating at least one live blood cell from the sample. The method further comprises generating one or more multispectral or hyperspectral images of the at least one cell, and analysing spectral characteristics of autofluorescence from the at least one cell. Also disclosed is a system configured to aid in the detection or diagnosis of a neurodegenerative disease. Also disclosed is a method for selecting a subject for treatment for a neurodegenerative disease. Also disclosed is a method for monitoring the response of a subject to a therapeutic treatment for a neurodegenerative disease. Also disclosed is a protocol for monitoring the efficacy of a therapeutic treatment for a neurodegenerative disease.