Provided herein is the design and synthesis of novel molecular rotor fluorophores useful for detection of amyloid or amyloid like proteins. The fluorophores are designed to exhibit enhanced fluorescence emission upon associating with amyloid or amyloid like proteins as compared to unbound compound. Also disclosed herein are methods for treating diseases associated with amyloid or amyloid like proteins.

A medical lead with at least a distal portion thereof implantable in the brain of a patient is described, together with methods and systems for using the lead. The lead is provided with at least two sensing modalities (e.g., two or more sensing modalities for measurements of field potential measurements, neuronal single unit activity, neuronal multi unit activity, optical blood volume, optical blood oxygenation, voltammetry and rheoencephalography). Acquisition of measurements and the lead components and other components for accomplishing a measurement in each modality are also described as are various applications for the multimodal brain sensing lead.

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 he provided for determining magnetic susceptibility information associated with at least one structure.

Disclosed embodiments include an apparatus that comprises (a) a kinematics sensor module including an accelerometer, a gyroscope, a magnetometer, or combinations thereof; and (b) a bidirectional wireless communication module configured for wirelessly synchronizing the sampling time instances of the kinematics sensor module with the sampling time instances of at least a second wearable apparatus including a second kinematics sensor module.

Methods for storing data records associated with a medical monitoring event in a data structure. An implanted device obtains data and stores the data in the data record in a first data structure that is age-based. Before an oldest data record is lost, the oldest data record may be stored in a second data structure that is priority index-based. The priority index may be determined by a severity level and may be further determined by associated factors. The implanted device may organize, off-load, report, and/or display a plurality of data records based on an associated priority index. Additionally, the implanted device may select a subset or composite of physiologic channels from the available physiologic channels based on a selection criterion.

The disclosure describes a method and system or controlling symptoms of patients suffering from Parkinson's Disease. In some examples, one or more biomarkers indicative of a patient's present symptoms are determined. The biomarkers may be used to control therapy delivered to the patient in a closed-loop manner. In addition, biomarkers may be used as an indication of therapy effectiveness.

A method, system, and computer-readable medium receive module configuration settings to configure a customized human movement examination module for a human movement examination item. A patient is instructed with audio instructions associated with the customized human movement examination module. A single camera is controlled having progressive scan capabilities according to the module configuration settings to allow recording of a performance by the patient of the human movement examination item. The recorded data is analyzed based on the information provided by the single camera to measure human movement exhibited by the patient.

A system and method for non-invasive and/or non-contact measurement of a subject's tremor in the context of therapeutic intervention is presented. The system includes a memory, a communications interface, a sensor to measure a signal associated with position or motion of an extremity of the subject, and a processor. The processor is configured to receive the signal from the sensor. The processor is further configured to communicate, via the communications interface, the signal, login credentials, and position or motion data to a remote server coupled to a remote electronic health record database. The remote server is configured to receive the signal and perform an analysis that quantifies a severity of tremor based on the position or motion signals of the subject. The processor is configured to receive the analysis that quantified the severity of tremor and cause the quantified severity of tremor to be displayed via a display device.

The present invention relates to an ultrasound apparatus (10) for determining a medical condition of a subject (12), comprising: an ultrasound acquisition unit (14) for receiving ultrasound waves (23) from the subject and for providing an ultrasound signal (24) corresponding to articulatory movements of the subject. A processing unit (26) is coupled to the ultrasound acquisition unit for determining a frequency change of the ultrasound signal. An evaluation module (32) evaluates the ultrasound signal and determines the medical condition of the subject on the basis of the frequency change of the ultrasound signal.

Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.