Embodiments can relate to a method for detecting a physiological condition by generating a Magnetic Resonance Image (MRI) contrast image comprising a T1 weighted (T1W) image/T2 weighted (T2W) ratio. Embodiments can further include using the T1W/T2W ratio to identify changes in substantia nigra pars compacta within a region of the brain.

A medical apparatus for estimating a mental/neurological disease with high precision is provided. This medical apparatus includes a computational processing device, a recording device having an estimation program which causes the computational processing device to execute processing recorded therein, a calculation unit configured to calculate a score of a subject, a detection unit configured to detect a disease whose score exceeds a reference range, and an estimation unit configured to estimate a mental/neurological disease.

Exemplary quantitative susceptibility mapping methods, systems and computer-accessible medium can be provided to generate images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach, which minimizes a cost function consisting of a data fidelity term and two regularization terms. The data fidelity term is constructed directly from the complex magnetic resonance imaging data. The first prior is constructed from matching structures or information content in known morphology. The second prior is constructed from a region having an approximately homogenous and known susceptibility value and a characteristic feature on anatomic images. The quantitative susceptibility map can be determined by minimizing the cost function. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining magnetic susceptibility information associated with at least one structure.

Provided herein are medical sensors and related methods for measuring a real-time personal metric. The medical device may comprise an electronic device having a sensor comprising an accelerometer and a bidirectional wireless communication system electronically connected to the electronic device for sending an output signal from the sensor to an external device and receiving commands from an external controller to the electronic device.

A computer-implemented method and system for determining an arousal state of a user, the method comprising: obtaining input data relating to a response of the user to a communication signal, wherein the input data relates to one or more of: a direct response of the user, a physiological response of the user, the physiological response comprising at least one measured physiological value, and determining the arousal state of the user based on the input data, and one or more of: contextual data, an initial arousal state of the user, and user profiles. A computer-implemented method and system for determining a calibration communication signal for arousal state modulation. A computer-implemented method and system for monitoring a user's arousal state.

There is provided herein a method and system for assisting speech/language therapy practice utilizing a voice interactive artificial intelligence-powered virtual assistant system.

In some aspects, a device wearable by a person includes a sensor configured to detect a signal from the brain of the person and a transducer configured to apply to the brain an ultrasound signal. The ultrasound signal has a low power density and is substantially non-destructive with respect to tissue when applied to the brain.

In some aspects, a device includes a sensor configured to detect a signal from the brain of the person and a plurality of transducers, each configured to apply to the brain an acoustic signal. One of the plurality of transducers is selected using a statistical model trained on data from prior signals detected from the brain.

A system and method for monitoring cardiovascular and brain functions in combination with a physiological detection device, which uses a smart wearable device to detect physiological data such as heart rate and pulse pressure of a user, and transmits the physiological data to an arithmetic function. An electronic device in which a preset function and a calculation formula are built in, and the physiological data can be converted into corresponding determination parameters to monitor the possibility and risk of cardiovascular diseases and neurodegenerative diseases.

A Parkinson's disease treatment method, system, and computer program product, including administering a game to a user, monitoring a Parkinson's disease sign and a Parkinson's disease symptom based on a result of the user playing the game, adjusting treatment of the user depending on the Parkinson's sign and the Parkinson's symptom, and suggesting a tailored rehabilitation exercise for the user based on the treatment.