Example inventions detect an occurrence of disturbance during a sleep period of a user. Examples receive data corresponding to a single parameter of the user during the sleep period, determine patterns in the data, and based on the patterns, determine a sleep disturbance severity index (“SDSI”) over the sleep period.

The present disclosure provides an ear tip. The ear tip includes a main body, a first conductive element at least partially embedded in the main body, a second conductive element at least partially embedded in the main body and spaced apart from the first conductive element. The main body includes a central portion having a top and a tail portion extending from the top of the central portion. The first conductive element is proximal to the top of the central portion and the second conductive element is distal from the top of the central portion. A wearable device is also disclosed.

A hearing device configured to be worn at an ear of a user may include a sensor unit configured to provide sensor data, the sensor unit comprising a biometric sensor configured to provide biometric data included in the sensor data; and a processor configured to determine a physiological parameter from the sensor data, the physiological parameter indicative of a physiological property of the user. The processor is configured to determine whether the physiological parameter fulfills a condition, and provide, depending on whether the physiological parameter fulfills the condition, output data based on the sensor data, the output data including at least part of the biometric data and/or information derived from at least part of the biometric data different from the physiological parameter.

A hearing device configured to be worn at an ear of a user may include a sensor unit configured to provide sensor data, the sensor unit comprising a sound detector configured to provide sound data included in the sensor data; and a processor configured to determine a physiological parameter from the sensor data, the physiological parameter indicative of a physiological property of the user. The processor is configured to determine whether the physiological parameter fulfills a condition, and provide, depending on whether the physiological parameter fulfills the condition, output data based on the sensor data.

Provided are methods and systems of for enhancing or increasing memory performance and/or memory retrieval in a subject using neurofeedback training. Also provided herein are methods and systems for modulating hippocampal replay in a subject using neurofeedback training. Also provided herein are methods and systems for modulating sharp wave ripple (SWR) activity in a subject using neurofeedback training

Provided are methods and systems of for enhancing or increasing memory performance and/or memory retrieval in a subject using neurofeedback training. Also provided herein are methods and systems for modulating hippocampal replay in a subject using neurofeedback training. Also provided herein are methods and systems for modulating sharp wave ripple (SWR) activity in a subject using neurofeedback training

The present specification relates to a contact lens having an integrated light source for electroretinography and a method for preparing same, the contact lens, having an integrated light source for electroretinography, comprising: a light source; a scattering material for scattering light from the light source; and an electrode for measuring changes in the electroretinogram due to the stimulation from the light source.

Adaptive biosignal systems and methods are disclosed for switching one or more designations of biosignal sensors for dynamic adaptation and optimization of one or more biosignal detection devices. A sensor designation cycle is executed for a plurality of biosignal sensors of a biosignal detection device, each of the plurality of biosignal sensors configured to collect biosignal data of a user, and each of the plurality of biosignal sensors having a designation defining an electrical sensor modality modifiable by a switch communicatively coupled to the biosignal detection device. The plurality of biosignal sensors comprises at least a first biosignal sensor, a second biosignal sensor, and a third biosignal sensor, wherein the first biosignal sensor is designated as a reference sensor, and wherein the second biosignal sensor is designated as a measurement sensor. The sensor designation cycle comprises various algorithms for switching designations of the various sensors.

Adaptive biosignal systems and methods are disclosed for switching one or more designations of biosignal sensors for dynamic adaptation and optimization of one or more biosignal detection devices. A sensor designation cycle is executed for a plurality of biosignal sensors of a biosignal detection device, each of the plurality of biosignal sensors configured to collect biosignal data of a user, and each of the plurality of biosignal sensors having a designation defining an electrical sensor modality modifiable by a switch communicatively coupled to the biosignal detection device. The plurality of biosignal sensors comprises at least a first biosignal sensor, a second biosignal sensor, and a third biosignal sensor, wherein the first biosignal sensor is designated as a reference sensor, and wherein the second biosignal sensor is designated as a measurement sensor. The sensor designation cycle comprises various algorithms for switching designations of the various sensors.

A system includes a biosensor having at least one electrode to receive signals from a patient, an amplifier to receive the signals from the at least one electrode, an analog-to-digital converter to receive the signals from the amplifier and convert the signals to digital data, a microprocessor, and an antenna to transmit the digital data, and a mobile computing device to: illuminate at least one photostimulator of the mobile computing device to provide luminous stimulation to the patient and perform measurements associated with ocular/retinal functions of the patient, receive the digital data from the biosensor in response to the luminous stimulation, display a waveform associated with the measurements on a graphical user interface (GUI), perform a comparison between the measurements and a library of diagnostic images, and determine an evaluation of a retinal function of the patient based on the comparison.