An ear tip for an earpiece including a body, an insertion end, and a retention structure. Some examples include an elongated fin along a portion of an outer leg of the retention structure. Some examples include an extended insertion end configured to insert further into a user's ear canal and including a mushroom cap for providing contact with an interior portion of the user's ear canal and to form an acoustic seal. Some examples may include an umbrella associated with the insertion end, between the mushroom cap and the body. Electrically conductive elements may be associated with any of the elongated fin, the umbrella, and the mushroom cap, to provide electrical contact with the user's skin for sensing electrical signals or for delivery of electrical stimulation.

A measuring device for measuring one or more clinical parameters of a patient, including a housing having multiple sensors, the sensors including one or more cardiac or cardiovascular sensors and one or more additional sensors, the device also including electrical circuitry located in the housing and including a storage unit for storing sensors data and sensors activation rules, where the sensors activation rules dictate which of the multiple sensors is used to sample the clinical parameters, and a processor to process the sensors data, the device also including a sensors switching circuit configured to determine which sensors of the multiple sensors collect information in a given time frame in accordance with the sensors’ activation rules, and an output unit to receive signal values from the sensors and to output clinical data.

Systems and methods for assisting user with hearing by amplifying sound using an amplifier with gain and amplitude controls for a plurality of frequencies; and applying a learning machine to identify an aural environment and adjust the amplifiers for optimum hearing.

The invention provides a monitoring device (1) for attachment to a surface of a subject. The device comprises a data collector (2) and a processor (3) as two separate parts which can be detachably joined such that physiological signals which are detected by the data collector can be transferred to the processor for signal processing and provision of monitoring data. At least one of the data collector and the processor comprises a transducer which can convert the physiological signal to a data signal which can be processed electronically. The data collector is adapted for adhesive contact with a skin surface, and may comprise an adapter (6) for the detachable attachment of the processor.

A method for providing electrical stimulation to a user as a user performs a set of tasks during a time window, the method comprising: providing an electrical stimulation treatment, characterized by a stimulation parameter and a set of portions, to a brain region of the user in association with the time window; for each task of the set of tasks: receiving a signal stream characterizing a neurological state of the user; from the signal stream, identifying a neurological signature characterizing the neurological state associated with the task; and modulating the electrical stimulation treatment provided to the brain region of the user based upon the neurological signature, wherein modulating comprises delivering a portion of the set of portions of the electrical stimulation treatment to the brain region of the user, while maintaining an aggregate amount of the stimulation parameter of the treatment provided during the time window below a maximum limit.

The invention relates to a non-invasive system for determining the maturation of a baby, which comprises a module for sampling a cardiac or electroencephalographic signal from a baby and advantageously performs a conversion of a plurality of temporal samples derived from the cardiac signal or from the electroencephalic signal into a visibility graph, then a determination of at least one index on the basis of this visibility graph, a comparison of at least one determined index with one or more statistical indices representative of the maturation of a plurality of babies and a visual representation of a distance between at least one determined index and the statistical indices.

The invention relates to a non-invasive system for determining the maturation of a baby, which comprises a module for sampling a cardiac or electroencephalographic signal from a baby and advantageously performs a conversion of a plurality of temporal samples derived from the cardiac signal or from the electroencephalic signal into a visibility graph, then a determination of at least one index on the basis of this visibility graph, a comparison of at least one determined index with one or more statistical indices representative of the maturation of a plurality of babies and a visual representation of a distance between at least one determined index and the statistical indices.

A coordinate input processing apparatus includes a position detection apparatus and a communication circuit. The position detection apparatus includes a sensor which detects a position pointed to by an electronic pen, and circuitry which acquires pen state information regarding a state of the electronic pen held by a person. The communication circuit transmits to an emotion estimation apparatus coordinates corresponding to the position pointed to by the electronic pen and the pen state information in an emotional state estimation request, and receives from the emotion estimation apparatus the coordinates corresponding to the position pointed to by the electronic pen, the pen state information included in the emotional state estimation request, and the information regarding the distracted state of the person holding the electronic pen in an emotional state estimation response having the same format as the emotional state estimation request.

In some examples, an apparatus configured to be worn by a patient for cardiac defibrillation comprises sensing electrodes configured to sense a cardiac signal of the patient, defibrillation electrodes, therapy delivery circuitry configured to deliver defibrillation therapy to the patient via the defibrillation electrodes, communication circuitry configured to receive data of at least one physiological signal of the patient from at least one sensing device separate from the apparatus, a memory configured to store the data, the cardiac signal, and a machine learning algorithm, and processing circuitry configured to apply the machine learning algorithm to the data and the cardiac signal to probabilistically-determine at least one state of the patient and determine whether to control delivery of the defibrillation therapy based on the at least one probabilistically-determined patient state.

In some examples, an apparatus configured to be worn by a patient for cardiac defibrillation comprises sensing electrodes configured to sense a cardiac signal of the patient, defibrillation electrodes, therapy delivery circuitry configured to deliver defibrillation therapy to the patient via the defibrillation electrodes, communication circuitry configured to receive data of at least one physiological signal of the patient from at least one sensing device separate from the apparatus, a memory configured to store the data, the cardiac signal, and a machine learning algorithm, and processing circuitry configured to apply the machine learning algorithm to the data and the cardiac signal to probabilistically-determine at least one state of the patient and determine whether to control delivery of the defibrillation therapy based on the at least one probabilistically-determined patient state.