A system for obtaining and analyzing data for overall joint motion from a plurality of joints of a subject experiencing a movement disorder involves a plurality of kinematic sensors configured to be placed on a body of a subject experiencing a movement disorder proximal a plurality of joints of the subject. The kinematic sensors are selected to measure overall joint motion with sufficient degrees of freedom for individual joints so that data collected by the sensors can be deconstructed into multiple degrees of freedom for individual joints and analyzed to provide amplitude of the movements caused by the movement disorder and/or relative contributions from and/or directional bias for each muscle group that may be implicated in the movement of each joint. Such a system permits methods for determining a treatment regimen for treating the movement disorder, whereby the treatment regimen is based on the amplitude of the movements and/or the relative contribution and/or directional bias of each muscle group to the movements caused by the movement disorder.

An active skull replacement system including an implant having an area A, an upper surface, and a bottom surface, adapted to be implanted at least in part into a skull of a subject so to substitute a portion of the skull, the bottom surface arranged to face at least in part a cranial cavity, and having a first wireless bidirectional data communication device, a device operably connected to the bottom surface of the implant, the device adapted to at least one of stimulate a physiological response and record a physiological parameter of the subject, and an external reader adapted to be placed on the scalp of the subject and including a second wireless bidirectional data communication device configured to communicate with the first wireless bidirectional data communication device of the implant to operate the device, wherein the external reader and the implant are fixed and aligned among each other through a magnetic device.

A movement assessment system and method of use are described herein. The movement assessment system includes a movement assessment device comprising a plurality of sensors, a movement assessment presentation device having a screen to display image; and a processing device in communication with the movement assessment device and the movement assessment presentation device. The processing device receives displacement data from the movement assessment device. Responsive to receiving the displacement data, the processing device identifies features from displacement data including at least one of motion, amplitude and speed variation of sensed motion, extracts a spectrum from the features to identify feature variability over time, identifies from spectrum potential disease based upon a percentage of abnormal movement over a likelihood threshold being identified, and presents the potential disease to user on the movement assessment presentation device.

A medical device or system of medical devices can be configured to detect an indicator of a symptom in a patient; in response to detecting the indicator of the symptom in the patient, deliver to the patient a first stimulation therapy; and in response to determining that the indicator of the symptom has been present for more than a threshold amount of time after beginning to deliver the first stimulation therapy a second stimulation therapy different than the first stimulation therapy.

A device is provided for overcoming freezing of gait. Suitably, the device includes a sleeve sized and shaped to be worn on a leg of a human subject, an array of electrodes carried by the sleeve and positioned to make surface contact with a skin of the leg when the sleeve is worn on by the human subject, and a controller in communication with the array of electrodes. The controller is operative to receive muscle activity data from the array of electrodes indicative of muscle activity in the leg, identify an onset of a freezing of gait episode based on the received muscle activity data, and trigger energization of one or more targeted electrodes in response to identification of the onset of the freezing of gait episode to mitigate against the freezing of gait episode.

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.

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.

Data regarding typing by a user may be collected and analyzed in order to assess one or more health conditions or functional states of the user. Each health condition that is assessed may be a disease or a symptom of a disease. For instance, based on the typing data, a computer may assess the presence, severity or probability of, or a change in, one or more symptoms such as: mild cognitive impairment, dementia, impairment of fine motor control, impairment of sensory-motor feedback, or behavioral impairment. A computer may calculate keystroke tensors that encode information about the typing. A computer may select or derive features from the keystroke tensors. These features may be fed into one or more machine learning algorithms, which in turn may output an assessment of a health condition or functional state of the user.

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.

The present invention relates to a device for detecting muscle seizure of a subject in a comfortable, non-invasive manner and user-friendly manner. The device comprises an activity input configured to obtain activity information related to a subject's activity when using a user device; a gaze input configured to obtain gaze information related to the subject's gaze when using the user device; a detection unit configured to detect a muscle seizure of the subject when using the user device by determining if the activity information indicates a reduction in the subject's activity using a user device and if the gaze information indicates that the subject's gaze is directed to the user device; and a control unit configured to generate a control signal, if the detection unit detects a muscle seizure of the subject configured to control a vibration unit attached to the subject and/or the user device to vibrate.