Disclosed herein are systems and methods for treating memory impairment, and more specifically to customized visual presentation for treating memory-related disorders and diseases. The disclosed systems and methods can predict clinical status of patients based on platform user behavior, such as those of patients. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Embodiments of the present invention provide systems and methods for analyzing cognitive status. The method includes capturing a set of observables for a subject based on their interaction with smart objects, such as smart blocks or smart items. The method further includes accessing data sets, such as medical data about cognitive function, scientific data about cognitive function, and historical data for the subject, analyzing the set of observables, and generating a report about the cognitive abilities of the subject based on the analysis.

Embodiments of the present invention provide a circuit board enclosed in an encasing with processors and memory, configured to receive and analyze data, and containing computer logic capable of receiving and analyzing data. The apparatus further includes sensors connected to the processors configured to transfer data to the processors, a power source configured to provide power to the processors, memory modules and sensors, one or more of a light source, an audio source, a vibration source, and a video source, a timing device, a wireless component and/or a wired component capable of transferring data, a light sensor capable of determining the intensity of the received light, computer logic capable of generating a report or transferring the data to a source capable of generating the report, where the report is a cognitive assessment, a comparison of cohorts, or a determination of how the subject puts together an apparatus with a second apparatus, and where the cohorts are people with same or similar diseases, conditions, ages, medical histories, social demographics, experience levels, or locations.

An apparatus for simulating hand tremors caused by Essential Tremor and Parkinson's disease which may also be used as part of a therapeutic program in association with surgically implanted stem cells introduced into a patient's substantia nigra.

An articulation rigidity assessment device comprises a single-axis angular velocity sensor attachable to a limb such that an axis of measurement is parallel to a predetermined rotation axis of a bending motion imposed during a dosage administration regime of a drug in order to identify a clinically effective dose as having been administered. A data processor is configured to process an angular velocity sensor signal during the dosage administration, calculate a non-rigidity index of the articulation using the processed signal, wherein the non-rigidity index is the square root of the multiplication of the average of the angular velocity signal by the average peak value of the angular velocity signal. The device outputs feedback of the non-rigidity index at a current dose of the drug, whereby the clinically effective dose is identified as having been administered as a function of the output. A method is also disclosed.

An apparatus and method for assessing vascular compliance in subjects with multiple sclerosis using sequential gas delivery is provided. The apparatus includes a gas delivery device and a processor. The processor controls the gas delivery device to deliver a first and second gas during a single inspiration. The first gas contains a mixture of oxygen and carbon dioxide necessary to target an end-tidal concentration of the two gases. The second gas includes a concentration of carbon dioxide equal to the target end-tidal concentration of carbon dioxide.

The disclosure provides a transmissive light based tremor identification method and a system thereof. The method includes: projecting, with a transmissive light, a first optical pattern to a part to be measured, wherein the transmissive light penetrates a surface of the part to be measured and correspondingly forms a second optical pattern on an internal structure of the part to be measured, and the second optical pattern is synthesized to include at least one intersection; capturing a plurality of images of the second optical pattern on the internal structure of the part to be measured and acquiring a motion feature of each intersection based on the images; and identifying a tremor pattern of the internal structure of the part to be measured based on the motion feature of each intersection.

Some methods of analyzing one or more brain lesions of a patient comprise, for each of the lesion(s), calculating one or more lesion characteristics from a first 3-dimensional (3D) representation of the lesion obtained from data taken at a first time and a second 3D representation of the lesion obtained from data taken at a second time that is after the first time. The characteristic(s) can include a change, form the first time to the second time, in the lesion's volume and/or surface area, the lesion's displacement from the first time to the second time, and/or the lesion's theoretical radius ratio at each of the first and second times. Some methods comprise characterizing whether the patient has multiple sclerosis and/or the progression of multiple sclerosis in the patient based at least in part on the calculation of the lesion characteristic(s) of each of the lesion(s).

A brain mapping system and methods for providing personalized therapy for a broad range of brain dysfunctions by determining the location and the extent of the brain regions that have to be therapeutically targeted in each subject. The present invention includes means to record specific characteristics of brain activity, detect and display brain regions that present signatures of disease or dysfunctions by using a computing system. The therapy is tuned to target detected brain regions to restore specific connectivity characteristics using invasive, non-invasive stimulation, neurofeedback or drug administration. While connectivity characteristics are estimated based on resting state recordings the therapy will be performed in successive steps to alter network fragmentation in dysfunctional brain regions. The improved treatment is tailored to individual patients that will learn how to reshape specific connectivity characteristics to target the determined location and the extent of brain regions and maximize the therapeutic potential. The brain mapping technology is suited for different technologies and not limited to electroencephalography (EEG) or magneto electroencephalography (MEG).

A computer-readable storage medium storing program instructions to perform a method of classification of short time series in order to detect a neurodegenerative disorder. The method includes receiving a plurality of sensor data collected from subjects with and without the neurodegenerative disorder over a period of a few seconds as the short time series, generating phase-space vectors from the plurality of sensor data in which each vector is a state of a dynamical system in space and time, transforming the phase-space vectors into a grayscale image representing recurrences of a state-space vector in the same area of the phase space, extracting temporal texture features of the grayscale image to obtain a multi-dimensional time series; inputting the multidimensional time series, without the grayscale image, to the Long Short Term Memory (LSTM) network, and classifying, by the LSTM network, the plurality of the sensor data as the neurodegenerative disorder or not.