Systems and methods for unsupervised monitoring of a movement related disorder experienced by a subject, the method according to one or more embodiments comprising collecting raw inertial data that represents local three dimensional (“3D”) orientation of the subject, extracting necessary inertial data from the raw inertial data, and analyzing the resultant extracted inertial data with respect to gait patterns to arrive at a gait classification on the basis of the analyzed, extracted data. The gait classification is provided as input to a recommendation process.

Systems and methods of the present invention provide for an olfactometer for delivering one or more odors and one or more computing devices configured to: receive user input for an odor memory test and an odor discrimination test; calculate a score for the odor memory test and the odor discrimination test; calculate a first and second confidence interval threshold and a second confidence interval threshold for a first and second predicted odor memory score respectively, based on a relationship between, respectively, the odor memory test score and odor discrimination test score, and previously-entered performance data queried from the database; and responsive to the score for the odor memory test not being greater than the first confidence interval threshold and the score for the odor discrimination test not being greater than the second confidence interval threshold, generate a report identifying a user as high risk for a neurodegenerative disease.

Introduced here are techniques for digitally characterizing the movement of a subject in order to detect the presence of a disorder or monitor the progression of the disorder. More specifically, one or more angular features can be identified that define how certain part(s) of the human body move relative to other part(s) of the human body. These angular feature(s) can be used, for example, to affirmatively diagnose instances of a disorder, eliminate a disorder as the source of symptoms experienced by a subject, generate confidence scores that can be used to assist in diagnosing a subject, monitor disorder progression due to treatment or lack thereof, etc.

An apparatus, system and process for tracking and analyzing target person movements, captured while the target person is performing ordinary tasks outside of a medical context, for medical diagnosis and treatment review are described. The method may include constructing a model of a target person from three-dimensional (3D) image data of the target person performing an activity over a period of time. The method may also include tracking movement of the model of the target person in the 3D image data over the period of time, and detecting one or more motion features in the movement of the model of the target person that are relevant to diagnosis, treatment, care, or a combination thereof, of a potential chronic neurodegenerative or musculoskeletal medical condition. The method may also include computing a risk score associated with likelihood of the target person having the medical condition based on the detected motion features.

The present disclosure describes a method of regulating (re-balancing) the brain's immune system to decrease occurrence and/or severity of age-related diseases and increase life span. According to the method, an array of electromagnetic emitters are positioned proximal to the subject. An electromagnetic wave generator generates electromagnetic waves at a predetermined set of parameters. In an example of the emitters positioned proximal to the subject's head, the brain's immune function is normalized/rebalanced in an area under the electromagnetic emitters by applying the electromagnetic waves to the subject through the electromagnetic emitters. With either head or body placement of emitters, a rebalancing of the brain's cytokines/immune mediators occurs, which should result in less occurrence or severity of age-related diseases and, thus, increase human life span. Alternatively, electromagnetic treatment may increase human life span through other mechanism(s) or effects that work independent of, or in concert with, a reduced occurrence/severity of age-related diseases.

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.

Devices, systems and methods are described that can facilitate recognition of an engagement between an object and a touch screen in the absence of human contact. Upon the engagement, an electrically conductive path can be established that extends from a surface of the touch screen such that sufficient electrons flow from the touch screen through the electrically conductive path to enable the recognition of the object on the touch screen in the absence of human contact with the object during continued presence of the object on the touch screen.

Provided are methods and system for assessing a human subject's neurological and/or psychological status. The methods entail displaying visual tests to a human subject, wherein each of the visual tests includes a visual target signal, optionally with visual cue signals, for eliciting visual and, optionally, body part, movements by the subject. Following the display, the movements are then detected. The latency and/or correctness of such movements can then be used to assess the subject's neurological and/or psychological status. Also provided are methods and systems for assessing performance validity.

The present invention describes methods and systems to enable a concerned party to continuously monitor the progression of a medical condition in one or more patients. The progression of the medical condition is determined by processing sensor data obtained from one or more physiological and/or motion sensors and survey data obtained from the patients. Further, environmental data such as air quality, temperature and humidity may also be used along with the sensor data and the survey data to monitor/track the progression of the medical condition.

Methods and systems are disclosed for evaluating a neurological condition by employing at least one motion sensor, configured to be attached to a body appendage, a memory associated with the sensor(s) to periodically record movement data during periods of prescribed exercises; and a processor for analyzing changes in movement data over time to evaluate the progression of the neurological condition. In one embodiment, the neurological condition is ALS and at least four motion sensors are employed such that each arm and leg of the patient has an associated sensor. The sensors can be accelerometers that measure the displacement, velocity and acceleration of an associated limb during periods of prescribed exercise. For example, changes in the patient's ability to repeat a series of limb-lifting exercises or the measurement of limb tremors associated with the conduct of the exercises can be correlated with norms and analyzed to classify the stage of ALS in a patient and/or predict the rate of progression.