The present specification describes a method for diagnosing if a patient is suffering from a stroke. The method includes: positioning a headset around the patient's head to passively receive vibrations generated by a cerebral vasculature of the patient's brain, the headset including at least one microphone or accelerometer; processing the received vibrations to obtain a signal; analyzing the signal to identify a pattern indicative of a stroke; and determining that the patient is suffering from a stroke based upon the result of a CT scan of the patient's brain and neck and the identified pattern indicative of a stroke.

Systems and methods in accordance with many embodiments of the invention include a motion evaluation system that trains a model to evaluate motion (such as, but not limited to, gait) through images (or video) captured by a single image capture device. In certain embodiments, motion evaluation includes predicting clinically relevant variables from videos of patients walking from keypoint trajectories extracted from the captured images.

The present invention relates to a neural implant comprising a biomaterial having an outer surface with a stochastic nanoroughness (Rq), and the application of said stochastic nanoroughness in the diagnosis and/or treatment of a neurological disorder, such as, for example, Parkinson's disease, Alzheimer's disease, glioblastoma and/or for disrupting and/or preventing glial scars in the context of mammalian mechanosensing ion channels selected from the family of PIEZO-1 and PIEZO-2 ion channels.

Systems and methods rely on feedback from an active medical device or devices (e.g., neurostimulator coupled to sensing and stimulation elements such as electrodes) to assess the effectiveness of a patient's drug regimen. Such reliance may include analyzing characteristics in physiological data acquired by the medical device(s), for example, in the form of responses evoked from the patient by electrical stimulation waveforms. Systems and methods further involved adjusting one or more parameters according to which a combination therapy consisting of at least a drug regimen and an electrical stimulation therapy are delivered to a patient, in an effort to optimize the therapeutic effect of the combination. The adjustments may be automatically by one or more implanted or external hosts working together or alone, and/or with the input of a physician.

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.

Disclosed is a method for scoring in real time neural signals of a subject with respect to a reference state characterized by k=1 . . . K reference covariance matrices, the method including the following steps: (i) obtaining neural signals from the subject; (ii) computing a covariance matrix of the neural signals; (iii) computing the Riemannian distances between the covariance matrix and k=1 . . . K reference covariance matrices; (iv) computing a continuous score s in real time based on at least one of the distances computed in step (iii). Also disclosed is a system and method for self-paced modulation or external modulation of neural activity of a subject.

Techniques to help improve efficiency or effectiveness of treating a disorder such as RLS or PLMD, such as by issuing neural electrostimulations to a particular patient, while varying one or more amplitude parameters (e.g., at least one of electrostimulation current amplitude, electrostimulation voltage amplitude, or electrostimulation pulsewidth duration). A corresponding patient-subjective or patient-objective response can be observed. A characteristic electrostimulation intensity relationship can be generated, for example, based on the determined respective at least one of RLS or PLMD response indication threshold amplitude parameters and the plurality of corresponding neural electrostimulation durations. Once this characteristic electrostimulation intensity relationship has been generated, it can then be used to control issuing subsequent neural electrostimulations to the particular patient according to (1) at least one goal and (2) a variable operating point based upon the generated characteristic electrostimulation intensity relationship.

Fitting a brain neurostimulator electrode array comprises positioning at least a first electrode in a desired target structure in a first cerebral hemisphere, and positioning at least a second electrode in a corresponding target structure in a contralateral cerebral hemisphere. Electrical stimuli are applied from the first electrode to the desired target structure. Neural responses observed at the second electrode in response to the electrical stimuli are recorded. The fitting of at least one of the first electrode and second electrode is assessed by reference to the recorded neural responses.

A system and method for detecting in an eye, in particular the retina, of a mammal, tau protein, such as neurofibrillary tangles (NFT). The system and method can use fluorescence imaging in the visible or near-infrared spectral region, for example as a non-invasive method for in vivo imaging of tau protein in ocular tissue. In preferred embodiments, in vivo imaging of tau protein in ocular tissue involves tau-binding compounds such as FDDNP, T807 and T808.

A wearable electronic user device comprising a processor, a touch-sensitive display and a timer is disclosed. The device can be used to register disease-related states of the user. The processor is configured to generate a scoring scale comprising at least three distinct scores concerning disease-related states of the user. The touch-sensitive display is configured to display the scoring scale as generated by the processor enabling a user interaction with the scoring scale. The timer is configured for generating timing information for registering timing instances associated with the detected user interaction. The processor is configured for detecting the user interaction with the touch-sensitive display on or nearby the scoring scale to assign scoring information to the detected user interaction by associating the user interaction with one of the distinct scores.