The disclosed technology generally relates to a hearing device configured to adjust its settings when it detects the hearing device user is experiencing stress related to the hearing device applying a processing scheme. The hearing device can use vital signs of the hearing device user to determine whether a user is stressed. The hearing device can also determine whether the user has become stressed as a result of applied setting or an applied processing scheme of the hearing device based on a change in the vital sign of the hearing device user. The disclosed technology also includes a method for reducing stressing when using a hearing device.

The disclosed technology generally relates to a hearing device configured to adjust its settings when it detects the hearing device user is experiencing stress related to the hearing device applying a processing scheme. The hearing device can use vital signs of the hearing device user to determine whether a user is stressed. The hearing device can also determine whether the user has become stressed as a result of applied setting or an applied processing scheme of the hearing device based on a change in the vital sign of the hearing device user. The disclosed technology also includes a method for reducing stressing when using a hearing device.

One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

A biological electrode that includes an electrode member made of a conductive rubber having a plurality of electrode portions in contact with a body of a subject. The plurality of electrode portions are protrusively formed on an electrode portion forming surface of the electrode member and arranged circularly or concentrically on the electrode portion forming surface. Further, each of the plurality of electrode portions is formed so that a cross-sectional area thereof gradually decreases from a proximal end portion thereof toward a distal end portion thereof and a center of a cross section of the distal end portion is positioned radially outward of a center of a cross section of the proximal end portion as viewed from an arrangement center of the plurality of electrode portions.

An augmented analyte monitoring system is described. The augmented analyte monitoring system includes a wearable analyte monitoring device that includes a transmitter and an analyte sensor to obtain analyte data of a user, and an analyte augmentation wearable that includes one or more sensors (e.g., physical and/or biochemical sensors) to obtain additional physiological data for augmenting the analyte data of the user. The analyte augmentation wearable is communicably coupled to the wearable analyte monitoring device. The augmented analyte monitoring system further includes a sensor hub implemented at a computing device to obtain a data packet containing both the analyte data and the additional physiological data from at least one of the wearable analyte monitoring device or the analyte augmentation wearable, and augment the analyte data by storing the analyte data in association with the additional physiological data.

An augmented analyte monitoring system is described. The augmented analyte monitoring system includes a wearable analyte monitoring device that includes a transmitter and an analyte sensor to obtain analyte data of a user, and an analyte augmentation wearable that includes one or more sensors (e.g., physical and/or biochemical sensors) to obtain additional physiological data for augmenting the analyte data of the user. The analyte augmentation wearable is communicably coupled to the wearable analyte monitoring device. The augmented analyte monitoring system further includes a sensor hub implemented at a computing device to obtain a data packet containing both the analyte data and the additional physiological data from at least one of the wearable analyte monitoring device or the analyte augmentation wearable, and augment the analyte data by storing the analyte data in association with the additional physiological data.

Methods, systems, and apparatus for surgical equipment monitoring are disclosed. In some embodiments, an electronic health records database and a database of surgical tools is provided. At least one sensor and at least one surgical tool are used before, during, or after a surgical procedure. The at least one sensor associated with the at least one surgical tool is monitored for at least one parameter. The monitored data is compared to the expected value of that parameter for the current step in the surgical procedure from the surgical tools database. In response to determining a potential surgical complication, the system generates a notification indicating the potential surgical complication.

In each trial, brain electrical activity at multiple points of a target person is measured. An acquirer of a determination device acquires response matrices for n trials under a first condition and response matrices form trials under a second condition. An analyzer performs canonical correlation analysis on the acquired response matrices to obtain first canonical variable time series. A distance calculator calculates a distance between the trials from the obtained first canonical variable time series to obtain a distance matrix. A determiner obtains a possibility that the n trials and the m trials are classified into two different clusters from the distance matrix and determines whether the first condition and the second condition are substantially different. It is possible to provide to a single target person a first content in n trials and a second content in m trials so as to determine a difference in interest of the single target person. It is possible to provide the same content to a first subject who is the target person in n trials and to a second subject who is the target person in m trials so as to determine whether the two are different or the same.