Methods, systems and wearable devices for real-time mental stress assessment are provided. The methods and systems employ deep learning using a Gated Recurrent Unit (GRU) gating mechanism in a recurrent neural network with a sliding window approach applied to raw EEG data.

Methods, systems and wearable devices for real-time mental stress assessment are provided. The methods and systems employ deep learning using a Gated Recurrent Unit (GRU) gating mechanism in a recurrent neural network with a sliding window approach applied to raw EEG data.

The present invention relates to a cognitive function test server, including a communication interface, a memory; and a processor which is operably connected to the communication interface and the memory, and the processor is configured to provide a first sequence to acquire brainwave data of a user in a resting state by means of an HMD device, acquire baseline brainwave data of the user based on the first sequence, provide at least one second sequence related to a cognitive function by means of the HMD device, acquire input data and activated brainwave data based on the second sequence from the HMD device and an input device connected thereto, and generate a cognitive evaluation result of the user based on at least one of the reference brainwave data, the activated brainwave data, and the input data of the user.

The present invention relates to a cognitive function test server, including a communication interface, a memory; and a processor which is operably connected to the communication interface and the memory, and the processor is configured to provide a first sequence to acquire brainwave data of a user in a resting state by means of an HMD device, acquire baseline brainwave data of the user based on the first sequence, provide at least one second sequence related to a cognitive function by means of the HMD device, acquire input data and activated brainwave data based on the second sequence from the HMD device and an input device connected thereto, and generate a cognitive evaluation result of the user based on at least one of the reference brainwave data, the activated brainwave data, and the input data of the user.

In accordance with one embodiment of the present disclosure, a method includes generating a plurality of icons, wherein each icon has a target frequency unique from each other, receiving brain activity data based on an epoch, generating a reference signal based on the epoch, calculating correlation coefficients between the brain activity data and the reference signal, wherein the correlation coefficients are calculated in a window that is within ±0.5 Hz of the target frequencies, including endpoints, determining a confidence score based on the correlation coefficients and the epoch, and determining a selected icon among the plurality of icons based on the correlation coefficients in response to the confidence score surpassing a threshold confidence score.

A local wearable brain wave cap device for detection is provided to simultaneously detect brainwave and heart rate variability data of a subject and includes a brain wave detection cap, at least one ear electrode and a transmission unit. The brain wave detection cap includes a wearable device and a plurality of electrode units. The wearable device is suitable for arranging the plurality of electrode units on brain wave positions corresponding to head of a subject. Each of the plurality of electrode units includes an accelerator, a storage unit, an input/output unit and a primary amplifier for detecting a brain wave.

A local wearable brain wave cap device for detection is provided to simultaneously detect brainwave and heart rate variability data of a subject and includes a brain wave detection cap, at least one ear electrode and a transmission unit. The brain wave detection cap includes a wearable device and a plurality of electrode units. The wearable device is suitable for arranging the plurality of electrode units on brain wave positions corresponding to head of a subject. Each of the plurality of electrode units includes an accelerator, a storage unit, an input/output unit and a primary amplifier for detecting a brain wave.

An audio system adapted to provide an auditory stimulation for inducing neural oscillations in a user during sleep.

A device and system for promoting more recuperative sleep by regulating a user's body temperature. This may be done by using a series of devices that measure information about the user both while they are awake and while they are asleep, communicate that information to a processing unit, and create an ideal body temperature range profile based on that information. A temperature stimulus device may ensure that the core body temperature of the user stays substantially within the ideal body temperature range. By keeping the core body temperature of the user within the calculated range, the device and system will ensure deeper, and therefore more recuperative, sleep.

Traditional analysis of sleep patterns requires several channel of data. This analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, determining the effect of medication on sleep states and identifying biomarkers, and drug dosages or reactions.