The present invention relates to a system and a method for selecting an audio file using motion data from a mobile computing device connected to or held by a user, the mobile computing device comprising or coupled to motion sensors. The method comprising steps of moving the mobile computing device, obtaining motion data from the motion sensors, computing from the motion data step data based on a number of steps taken by the user in a specific period of time, computing a metronome beat based on the step data and generating a metronome beat file, selecting a stored audio file having a predefined beat parameter matching the metronome beat of the metronome beat file, and playing the audio file. The present invention provides a technology solution delivered through a mobile computing device, such as smart phone, or other computing device, such as a laptop or a PC, a wrist or smart watch, or an accelerometer, pedometer or other external computing device having computer processor means, that improves the gait of people with Parkinson's disease. In use, the user's daily mobility is assessed through application software on a mobile computing device which is operable to calculate a required individually prescribed treatment for a user. The treatment is then delivered through speakers of the mobile computing device in the form of metronome therapy which is form of auditory cueing that is used to treat people with Parkinson's disease.

Described here is a deep brain stimulation (DBS) approach that targets several relevant nodes within brain circuitry, while monitoring multiple symptoms for efficacy. This approach to multi-symptom monitoring and stimulation therapy may be used as an extra stimulation setting in extant DBS devices, particularly those equipped for both stimulation and sensing. The therapeutic efficacy of DBS devices is extended by optimizing them for multiple symptoms (such as sleep disturbance in addition to movement disorders), thus increasing quality of life for patients.

Described are systems for spatial cognitive ability assessment wherein a subject is able to manipulate one or more object(s) that is monitored by a device for recording motion attached to the object(s), the subject, or both that is able to generate motion electronic data. Also described are methods for assessing spatial cognitive ability.

Improved methods and systems are disclosed for a physiotherapeutic device having a waist tensioning system and a spine support system that may enable correction and/or maintaining of postural stance for individuals suffering from poor posture and/or neurodegenerative disease. The physiotherapeutic device includes a tensioner mechanism. Waist straps attached to the lumbar expansion portion may be configured to be routed through the anchor and wrapped around the vest when the user wears the device. The device also includes shoulder straps, each having a first end attached to a top, rear portion of the vest and a second end attached to the central member. The physiotherapeutic device may be outfitted with sensors to detect statuses and symptoms relevant to the patient and caregiver and to provide reporting and feedback to both the patient and caregiver.

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.

There is disclosed a method and system for predicting a likelihood that a patient is subject to one or more conditions. Retinal signal data corresponding to the patient may be received. Retinal signal features may be extracted from the retinal signal data. The retinal signal features may be applied to a mathematical model. The mathematical model may correspond to a condition. A predicted probability for the condition may be output by the mathematical model. The predicted probability may be displayed on an interface.

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.

Neurodegeneration can be assessed based on a gait signature, using a machine-learning model trained on gait metrics acquired for a patient, in conjunction with cognitive test data and neuropathology information about the patient. The gait signature can be derived from gait kinematic data, e.g., as obtained with a video-based, marker-less motion capture system.

Provided herein according to some embodiments is a method of detecting senescent cells and/or neurofibrillary tangles in a subject, comprising: assaying for the expression of CDKN2D in the brain of the subject; and comparing the amount of CDKN2D expression to a control, whereby increased CDKN2D expression relative to the control is indicative of the presence of neurofibrillary tangles in the subject. Methods of treating and monitoring a subject so identified are also provided.

The present disclosure generally relates to the field of treatment of neurological disease, and in particular to devices and methods for treating neurological diseases based on adaptive stimulation and to methods for controlling such devices.