A method is described, which provides electrical stimulation to a person, where the current flows from a subcranial electrode, through a target brain region, through a separate conductive path, and back to a subcutaneous electrode, and where the parameters of the electric current pulses are set to influence the resonant properties of the brain.

An apparatus for biological information management including a storage and at least one processor. The processor is configured to: acquire a face image of a subject and a sensed biological information value of the subject, which are acquired at the same time, in association with each other, and perform face image authentication for the face image to identify the subject of the face image. The storage stores the biological information value associated with the face image in association with the subject. The processor is also configured to: determine a normal range of biological information values by cluster analysis from accumulated biological information values stored in the storage for each subject, determine whether or not a latest biological information value stored in the storage falls within the normal range, and output that the latest biological information value is abnormal when the latest biological information value falls outside the normal range.

A data processing system is configured to identify treatment responsive to a health risk determined from feature data provided by one or more networked data sources. A classification engine generates a feature vector based on a natural language processing (NLP) of input data representing words provided by a user. Features of the feature vector represent health risk factors. Machine learning logic classifies the features to generate a classification metric indicating whether the features are indicative of health risks or not indicative of health risks. A prediction value is generated indicating a likelihood of each health risk factor for the patient. The patient can be diagnosed with a health condition or disease based on the identified health risks.

Blepharometric data (data describing eyelid position as a function of time) is recorded and processed for the purposes of predicting a future risk and/or current occurrence of neurological events such as seizures. For example, in one embodiment blepharometric data is recorded via infrared reflectance oculography spectacles, and processed in real time thereby to extract a set of blepharometric artifacts. Where those artifacts indicate prolonged spiking in blink calmness (for example based on spiking in negative inter-event duration, or negative IED), an alert is able to be generated thereby to indicate that the subject is at risk of a seizure in a proximal time period. This provides an opportunity to implement mitigation measures, for example to reduce the likelihood of the seizure manifesting, and/or to mitigate harm should the seizure occur.

A method and system for providing interactive wellness recommendations is disclosed. The system stores information regarding health profiles, each profile comprised of health data. An individual user health profile can be associated with at least one cohort group. The system obtains individual user health data to develop a user health profile and assigns the user to at least one cohort group based on the user health profile. The system also obtains a user wellness goal. Using the user health profile, a recommendation engine generates a user wellness recommendation for obtaining the user wellness goal based on the user's membership in at least one cohort group by correlating the particular health profile against effective wellness regimens for the user wellness goal as it relates to the cohort group. The user wellness recommendation may then be provided to the user. The user may be continually monitored through any number of methods. As new user health data is obtained, the system can monitor user progress towards their wellness goal and revise the user wellness recommendation based on that progress.

A neuropathy screening and severity system can comprise a contact probe comprising a probe housing having a predetermined weight and having an electromechanical actuator operable to vibrate at a variable amplitude and a frequency. The actuator can be operable to contact with a patient at a predetermined pressure based on the predetermined weight. The system can also comprise an electronic control unit disposed in the probe housing. The electronic control unit can be operable to ramp the variable amplitude of the electromechanical actuator from a first amplitude to a second amplitude over a sensory test time.

This disclosure describes systems and methods for electrocardiographic waveform analysis, data presentation and actionable advisory generation. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis can be performed on the electrocardiographic waveform data to provide cardiac analytics. A visualization of the cardiac analytics on a dashboard display can be generated. A value can be based on a comparison of the cardiac analytics to at least one baseline value for the patient; and a decision of whether or not to generate an actionable advisory for the electrocardiographic waveform data can be made based on the value. When the actionable advisory is generated, the actionable advisory is sent to one or more medical professionals, where it can be modified, and displayed with the visualization of the cardiac analytics.

A medical device is configured to receive sensed cardiac event data including a value of a feature determined from each one of a plurality of cardiac events sensed from a cardiac signal according to a first setting of a sensing control parameter. The medical device is configured to classify each value of the feature of each one of the sensed cardiac events as either a predicted sensed event or a predicted undersensed event according to a second setting of the sensing control parameter that is less sensitive to sensing cardiac events than the first setting. The medical device is configured to determine a predicted sensed event interval between each consecutive pair of the predicted sensed events and predict that an arrhythmia is detected or not detected based on the predicted sensed event intervals.

An intraoral scanner includes a device body and a connection portion. The device body has a heat-dissipating structure and a first electrical connection port. The connection portion is detachably connected to the device body and includes a second electrical connection port and a fan. The second electrical connection port is electrically connected to the first electrical connection port. The fan generates an airflow that flows through the heat-dissipating structure.

A convenient self-locking blood pressure cuff facilitating one-handed use by a user taking his own blood pressure includes a cuff belt, a casing assembly, and a self-locking structure. The self-locking structure is received in the casing assembly. The self-locking structure includes a core shaft, a locking assembly, and a pressing assembly. The core shaft is slidably connected to the casing assembly. The locking assembly and the pressing assembly are wrapped around the core shaft. The locking assembly can rotate when a free end of the cuff belt moves with respect to the casing assembly. The locking assembly can further press against the cuff belt when the core shaft slides in the casing assembly. The pressing assembly presses against the locking assembly to prevent the locking assembly from rotating back.