A method and system for predicting neurological disorders is provided. The method comprises receiving videos of individuals and detecting Regions of Interest (ROI) in video frames. The method further comprises determining a Motion Vector (MV) for each ROI in a set of successive frames and comparing value of the determined MV with pre-stored values. Furthermore, the method comprises identifying a MV matching a pre-stored value thereby identifying a ROI and a frame corresponding to the identified MV, wherein the pre-stored value indicates onset of an expression. Also, the method comprises determining MVs for the identified ROI in subsequent sets of successive frames and comparing value of the determined MVs with a pre-stored value of MV corresponding to peak and offset of the indicated expression. The method further comprises identifying the frame corresponding to the peak and offset of the indicated expression and generating pictorial representation for predicting neurological disorders.

An apparatus, system and process for tracking and analyzing target person movements, captured while the target person is performing ordinary tasks outside of a medical context, for medical diagnosis and treatment review are described. The method may include constructing a model of a target person from three-dimensional (3D) image data of the target person performing an activity over a period of time. The method may also include tracking movement of the model of the target person in the 3D image data over the period of time, and detecting one or more motion features in the movement of the model of the target person that are relevant to diagnosis, treatment, care, or a combination thereof, of a potential chronic neurodegenerative or musculoskeletal medical condition. The method may also include computing a risk score associated with likelihood of the target person having the medical condition based on the detected motion features.

A medical device delivers a therapy to a patient. The medical device or another device may periodically determine an activity level or gait parameter of the patient, and associate each determined level or parameter with a current therapy parameter set. A value of at least one activity metric is determined for each of a plurality of therapy parameter sets based on the activity levels or parameters associated with that therapy parameter set. Whether the patient is currently experiencing or anticipated to experience gait freeze caused by their neurological disorder, such as Parkinson's disease, may also be determined. Gait freeze events may be associated with current therapy parameters and used to determine activity metric values. In some examples, the activity metric associated with certain therapy parameters may be presented to a user.

A freezing of gait cue apparatus that provides a visual cue, and a method for providing a visual cue, upon detection of a gait irregularity. The gait irregularity, such as a freeze of gait (FOG) for sufferers of neurological diseases like Parkinson's disease, is determined by a processor in communication with a motion sensor worn by the sufferer. When the gait irregularity is determined the apparatus projects a laser light beam on the ground in front of the user of the apparatus to cue them to continue walking.

Exemplary method, system and computer-accessible medium can be provided for diagnosing at least one disease and/or a subtype within a disease. For example, it is possible to determine at least one region of interest, and obtain a plurality of data points associated with each of such region(s) of interest. It is also possible to identify a particular pattern of the data points across each of such region(s) of interest. Further, it is possible, e.g., using a computer arrangement, to determine a likelihood of the disease(s) and/or the subtype by comparing the particular pattern to at least one known pattern.

A device and method is provided for stimulation of neurons. The device includes a stimulation unit that can be implanted into a body of a patient and has stimulation elements that apply a stimulation signal to tissue of the patient to stimulate neurons in the brain and/or the spinal cord of the patient. Moreover, a measuring unit receive a measurement signal that reflects a neuronal activity of the stimulated neurons. Further, a control unit generate a modulation signal from the measurement signal, and modulates an amplitude of a pulse train with the modulation signal. Individual pulses of the pulse train include a first and second pulse portions that introduce and remove charge from the tissue. Moreover, the control unit varies a pause between the pulse portions until the synchronization of the stimulated neurons is minimized or falls below a predetermined threshold.

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.

Technology for use with a touchscreen user interface device that uses gesture swipe data to provide an early potential indication of onset of Parkinson's disease. Technology for use with a touchscreen user interface device that uses gesture swipe data to provide an information about motor skill development of a child. Technology for use with a touchscreen user interface device that uses gesture swipe data to provide an information about reading ability development of a child.

Technology for use with a touchscreen user interface device that uses gesture swipe data to provide an early potential indication of onset of Parkinson's disease. Technology for use with a touchscreen user interface device that uses gesture swipe data to provide an information about motor skill development of a child. Technology for use with a touchscreen user interface device that uses gesture swipe data to provide an information about reading ability development of a child.

Devices, systems and methods are disclosed for treating or preventing dementia, such as Alzheimer's disease. The methods comprise transmitting impulses of energy non-invasively to selected nerve fibers, particularly those in a vagus nerve, that modulate the activity of a patient's locus ceruleus. The transmitted energy impulses, comprising magnetic and/or electrical energy, stimulate the selected nerve fibers to cause the locus ceruleus to release norepinephrine into regions of the brain that contain beta-amyloids. The norepinephrine counteracts neuroinflammation that would damage neurons in those regions and the locus ceruleus, thereby arresting or slowing the progression of the disease in the patient.