This invention relates to the detection of the diseases by using Chemical Exchange Saturation Transfer (CEST)Magnetic Resonance Imaging (MRI). Previously, there was no way to use CEST MRI to early detect and map the agents bind to amyloid beta protein, tau protein, alpha-synuclein protein in neurodegenerative diseases, and inflammation in many diseases such as neurodegenerative diseases. The exogenous agents can be used to produce MRI contrast, such as agents contain exchangeable protons such as hydroxyl, amine, and amide protons, and thereby provide imaging and mapping for detection of the amyloid beta protein, tau protein, alpha-synuclein protein, and aggregation proteins in neurodegenerative diseases and inflammation in many diseases such as neurodegenerative diseases, and other inflammatory diseases.

A system and method for evaluation, detection, conditioning, and treatment of neurological functioning and conditions which uses data obtained while a person is engaged in simultaneously in a range of primary physical tasks combined with defined types of secondary activity, such as listening, reading, speaking, mathematics, logic puzzles, navigation of a virtual environment, recall of past stimuli, etc. The data from the physical and secondary activities are combined to generate a composite functioning score visualization indicating the relative functioning of areas aspects of neurological functioning; including those in which deficiencies may be present, which are early indicators of possible neurological conditions. Through algorithmic recommendations combined with expert and user input, a conditioning regimen targeting neurological aspects of interest paired with periodic testing allows the user to track their progress in these areas over time.

A system and kit for capturing a 3D image of a body a user includes a plurality of pillar segments being configurable between an assembled configuration and a disassembled configuration. In the assembled configuration, the pillar segments are joined to form one or more upstanding sensing pillars. A plurality of sensors operable to capture image data are distributed along the one or more sensing pillars. The plurality of sensors have fields of view that are overlapping when supported on the sensing pillars. In the disassembled configuration, transportation of the pillar segments is facilitated. The system and kit may be suitable for use at a remote location. Additional functionalities may include a power storage unit, solar charging panels, climate control subsystem, and wireless communication submodule. In operation, the sensing pillars may be enclosed within an enclosure.

A wearable device may be used to perform a health or medical assessment of a user. The wearable device may detect user movements of the user. The wearable device generates signal data representing the user movements. The signal data is input into a model to identify a feature set. The feature set is converted into a score that corresponds to a medical condition of the user.

In an embodiment, a wearable device for vibratory stimulation is presented. The wearable device includes a sensor configured to receive data and generate sensor output. The wearable device includes a processor in communication with the sensor and a memory communicatively connected to the processor. The memory includes instructions configuring the processor to receive the sensor output from the sensor. The processor is configured to determine a symptom of a movement disorder of a user based on the sensor output. The processor is configured to calculate a waveform output based on the symptom of the movement disorder. The processor is configured to command a transducer in communication with the processor to apply the waveform output to the user to reduce the symptom of the movement disorder.

The system comprises a prediction module (1) equipped with artificial intelligence to predict neurological disorders in an individual patient and identify a level of neurological disorders; a central processing unit (2) to detect triggering events and circumstances due to which the neurological disorders trigger in an individual patient upon receiving real-time behavior information data generated by a playing ball (3) of an individual patient and distinguish between a normal behavior and a neurological disorders behavior; an alert module (4) to alert the individual patient upon determining neurological disorders behavior; and an entertainment platform (5) to entertain and engage the individual patient with a specific set of activities assigned according to detected triggering events and circumstances upon determining the neurological disorders behavior, wherein a specific set of activities includes listening to music, playing games, and talking to an AI chatbot.

A handheld system includes a housing, a motion-generating mechanism disposed within the housing, an attachment arm extending from the housing and having a first end coupled to the motion-generating mechanism and a second end configured to receive a user assistive device, a first sensor mounted to measure a first motion of the handheld system and generate a first signal indicative of the first motion, and a control system coupled to the motion-generating mechanism and the first sensor. The control system is configured to use the first signal to stabilize the user-assistive device and compensate for human tremors imparted to the housing.

The present disclosure relates to the field of artificial intelligence (AI) technologies, and provides an auxiliary photographing device for dyskinesia analysis, and a control method and apparatus for an auxiliary photographing device for dyskinesia analysis. The method includes controlling a camera assembly of the auxiliary photographing device at a first position to perform photographing, to obtain a first image, the first image comprising a target body part of a patient having dyskinesia; determining, in the first image, a position of a target region corresponding to the target body part; controlling an orientational movement of a mechanical arm of the auxiliary photographing device according to the position of the target region, to adjust the camera assembly to a second position; and controlling the camera assembly at the second position to perform photographing, to obtain a second image, the second image comprising the target body part.

Provided is a multi-modality medical image analysis method and apparatus for brain disease diagnosis. The method includes the steps of: acquiring medical images with different modalities for the same patient; selecting at least some of pre-trained analysis models corresponding to the modalities of the medical images; inputting the medical images correspondingly to the analysis models selected with respect to the modalities of the medical image to produce output values related to a plurality of factors used for reading at least one brain disease; converting the output values to produce a plurality of feature vectors corresponding to the output values; and inputting the plurality of feature vectors to at least one diagnosis model pre-trained to read the brain disease to thus predict a degree of brain disease progression.

A quantitative gait training and/or analysis system employs instrumented footwear and an independent processing module. The instrumented footwear may have sensors that permit the extraction of gait kinematics in real time and provide feedback from it. Embodiments employing calibration-based estimation of kinematic gait parameters are described. An artificial neural network identifies gait stance phases in real-time.