The present invention relates to methods for remotely and intelligently tuning movement disorder of therapy systems. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of remotely and intelligently or automatically tuning a therapy device using objective quantified movement disorder symptom data and/or brain activity mapped data to determine the therapy setting or parameters to be transmitted and provided to the subject via his or her therapy device. The present invention also provides treatment and tuning intelligently, automatically and remotely, allowing for home monitoring of subjects.

A device is disclosed to assist in the determination of the presence and type of dyskinesia in a patient. The device includes a sensor, removably attachable to a patient's body, such as on a limb or torso, the sensor being capable of detecting 3-D motion. Data generated by the sensor is transferred to and retained in a data retention means. A processing means is included to process the generated data, along with a look-up table of processed data for already known dyskinesia conditions for comparison, the processing means employs an evolutionary algorithm in the classification of the data. Output means display the diagnosed condition to a user.

Improved methods and systems are disclosed for a physiotherapeutic device that may enable correction and/or maintaining of postural stance for individuals. A method includes storing a plurality of data pairings in a database. Each pairing may represent an association between at least one sensor datum and a physical state. The method may further include receiving a transmitted sensor datum. The transmitted sensor datum may derive from a sensor that is associated with a garment and may be received at a facility remote to the garment. The method may also include searching the plurality of data pairings in the database for a physical state associated with the transmitted sensor datum, sending an alert indicating the physical state associated with the transmitted sensor datum, and making a posture support adjustment to the garment based at least in part on receipt of the alert.

The present invention relates to a system for providing neuronal stimulation signals configured to elicit sensory percepts in the cortex of an individual, comprising means for obtaining spatial information relating to the actual or planned position of at least one neuronal stimulation means relative to at least one afferent axon targeting at least one sensory neuron in the cortex of the individual and means for determining at least one neuronal stimulation signal to be applied to at least one afferent axon via the at least one neuronal stimulation means based at least in part on the obtained spatial information.

The present invention further relates to a system for communicating conceptual information to an individual, comprising means for selecting at least one neuronal stimulation signal to be applied to at least one afferent axon targeting at least one sensory neuron in the cortex of the individual, wherein the at least one neuronal stimulation signal corresponds to the conceptual information to be communicated and means for transmitting the at least one neuronal stimulation signa to at least one neuronal stimulation means of the individual.

This disclosure relates generally to a Parkinson's disease detection system. Parkinson's disease is a neuro-degenerative disorder affecting motor and cognitive functions of subjects. Since symptom manifestation is limited in Parkinson's disease, identifying Parkinson's disease in the early stage is a challenging task. The present disclosure overcomes the limitations of the conventional methods for detecting Parkinson's disease by utilizing a graph theory approach. Here, each pressure sensor attached to an insole corresponding to a plurality of pressure points associated with a foot of the subject is considered as a node of a connectivity graph. The foot dynamics analysis is performed based on a metric known as mediolateral stability index and the mediolateral stability index is calculated by utilizing a betweenness centrality associated with each node of the connectivity graph. Further, the mediolateral stability index is compared with standard values to detect the intensity of the Parkinson's disease.

The present invention relates to a movement disorder monitor, and a method of measuring the severity of a subject's movement disorder. The present invention additionally relates to a drug delivery system for dosing a subject in response to the increased severity of a subject's symptoms. The present invention provides for a system and method, which can accurately quantify symptoms of movements disorders, accurately quantifies symptoms utilizing both kinetic information and electromyography (EMG) data, that can be worn continuously to provide continuous information to be analyzed as needed by the clinician, that can provide analysis in real-time, that allows for home monitoring of symptoms in subject's with these movement disorders to capture the complex fluctuation patterns of the disease over the course of days, weeks or months, that maximizes subject safety, and that provides remote access to the clinician or physician.

A medical evaluation system includes an I/O module, a processing module, and an analysis module. The I/O module receives sensory data obtained by a motion sensor disposed in a mobile device carried by a patient at least when the patient is in a non-clinical environment. The processing module extracts medically relevant data from the sensory data received from the sensor in the mobile device. The relevant data includes one or more features of interest in the sensory data. The analysis module derives one or more surrogate biomarkers from the relevant data. The surrogate biomarkers represent at least one of a state or a progression of a medical condition of the patient. The mobile device may be a mobile phone carried by the patient and the sensor may include at least one of an accelerometer or a gyroscope that generates the sensory data to represent movements of the patient.

Disclosed are Parkinson's disease diagnosing apparatus and method and a configuration which includes an image acquiring unit which acquires a multi-echo magnitude and a phase image from MRI obtained by capturing a brain of a patient, an image processing unit which post-processes only substantia nigra and a nigrosome-1 region proposed as an imaging biomarker of the Parkinson's disease from the acquired image to be observed; an image analyzing unit which classifies images including the nigrosome-1 region by analyzing the processed images and detects the nigrosome-1 region from the classified image, and a diagnosing unit which determines whether the nigrosome-1 region is normal in the classified image to diagnose the Parkinson's disease is provided so that only the image which includes the nigrosome-1 region is classified in the MRI and the nigrosome-1 region is analyzed from the classified image to diagnose the Parkinson's disease.

Systems and methods for quantitative susceptibility mapping (QSM) using magnetic resonance imaging (MRf) and a localized processing technique are described. A field-shift map is processed based on localized regions of local field perturbations. These localized field-shift regions are processed using established QSM algorithms, or using direct dipole inversion techniques, to compute regional susceptibility distributions from the localized field shift information. When the localized regions correspond to subvolumes of the field-shift map, local susceptibility maps can be generated and combined to form a composite quantitative susceptibility map. By computing regional susceptibility distributions based on localized field-shift information, residual streaking artifacts in the susceptibility map are constrained to the individual volumes from which they originate, thereby eliminating their propagation through the image.

A client device is configured to administer unique, equivalent, computer mediated, task versions of a particular task type automatically generated by a task versioning system. Multiple task versions, each comprising of at one stimulus sequence, are generated by performing geometric, symmetric or temporal transformations on the spatiotemporal relationships between one or more stimuli in a task version. Previous user performance may be captured and analyzed to determine a next task version. Task versioning systems with the ability to automatically generate multiple unique, equivalent task versions allow for accurate measurement of neurological, cognitive, and motor skills, by ensuring that learning effects arising from repeated task administrations are eliminated.