The derivation unit determines the stability of a parasympathetic nerve activity of the sleeper for each environment temperature, and derives a correspondence relationship between the environment temperature and the stability of the parasympathetic nerve activity of the sleeper. An estimation unit estimates an appropriate value of the environment temperature suitable for the sleeper based on the correspondence relationship derived by the derivation unit.

Disclosed is a method of identifying dementia using at least one processor of a device according to some embodiments of the present disclosure. More particularly, the method may include performing a first task of causing for a user terminal to display a first screen including a sentence; performing a second task of causing for the user terminal to acquire an image including user’s eyes in association with displaying a moving object instead of the first screen; and performing a third task of causing for the user terminal to acquire a recording file in association with displaying a second screen in which the sentence is hidden, wherein the first task includes a sub-task of causing color of at least one word constituting the sentence included in the first screen to be sequentially changed.

A method of classifying a mental state of a user using a computing device, which includes a microphone, a camera, a display, a wireless communication unit, and a processor, and a mental state classification server is provided. The method comprises: by the microphone, detecting ambient noise of the user; by the camera, generating an image by photographing a face of the user; by the processor, checking whether each of ambient noise of the user, ambient brightness of the face of the user obtained from the image, and a face position of the user obtained from the image is suitable for a heart rate variability measurement environment; by the processor, controlling to display on the display images indicating whether each of the ambient noise, the ambient brightness, and the face position is suitable for the heart rate variability.

A test apparatus or system for testing impact induced brain trauma a method of making and a method using the same are provided. The system includes a head model, which includes a skull component, a brain component, and a fluid component. The skull component has a wall defining an interior chamber. The brain component includes a gel material and is disposed within the interior chamber. The fluid component is disposed inside the interior chamber. The system may also include a fluid tank fluidly coupled with the skull component and configured to provide the fluid component into the interior chamber. The head model may further include a layer of porous media disposed between the brain component and the interior wall surface of the skull component. The system may include at least one impact element for providing an impact on the head model. The impact is translational or rotational or both.

A test apparatus or system for testing impact induced brain trauma a method of making and a method using the same are provided. The system includes a head model, which includes a skull component, a brain component, and a fluid component. The skull component has a wall defining an interior chamber. The brain component includes a gel material and is disposed within the interior chamber. The fluid component is disposed inside the interior chamber. The system may also include a fluid tank fluidly coupled with the skull component and configured to provide the fluid component into the interior chamber. The head model may further include a layer of porous media disposed between the brain component and the interior wall surface of the skull component. The system may include at least one impact element for providing an impact on the head model. The impact is translational or rotational or both.

A method and system is provided for determining a discrimination index in a subject that may be suffering from or at risk for a stress-induced psychiatric disorder. The discrimination index may be equal to a ratio of a subject's cued fear response and non-cued fear response measured during a fear-potentiated startle (FPS) paradigm. Such a value may allow a physician or researcher to quantify how well a subject discriminates between signaled (cued) fear and un-signaled (non-cued) fear, which may be a biomarker for psychiatric disorders like post-traumatic stress disorder, panic disorder, phobias, and/or generalized anxiety disorder. The determined discrimination index may provide a standardized way of diagnosing and evaluating mental illnesses, more uniform treatment of patients, and/or more precise monitoring and evaluation of treatment efficacy.

A method and system is provided for determining a discrimination index in a subject that may be suffering from or at risk for a stress-induced psychiatric disorder. The discrimination index may be equal to a ratio of a subject's cued fear response and non-cued fear response measured during a fear-potentiated startle (FPS) paradigm. Such a value may allow a physician or researcher to quantify how well a subject discriminates between signaled (cued) fear and un-signaled (non-cued) fear, which may be a biomarker for psychiatric disorders like post-traumatic stress disorder, panic disorder, phobias, and/or generalized anxiety disorder. The determined discrimination index may provide a standardized way of diagnosing and evaluating mental illnesses, more uniform treatment of patients, and/or more precise monitoring and evaluation of treatment efficacy.

Disclosed is a method for the generation of a consciousness indicator for a non-communicating subject, including the steps of generating an auditory stimulation, receiving an electrocardiographic signal of the subject obtained from a recording during the generation of the auditory stimulation, extracting at least one feature from the electrocardiographic signal and deducing a consciousness indicator from an analysis of the electrocardiographic feature.

A physical area network for detecting head injuries described herein enables significantly improved cranial health monitoring and treatment by utilizing internal (in-body) mechanisms and information and external mechanisms and information.

Provided is a method of evaluating emotional intelligence, the method including evaluating an accuracy of emotional recognition of subjects for the emotional image stimuli, evaluating an accuracy of interpersonal emotional recognition of subjects for a facial image stimulus with a certain emotion, a classification step of presenting a video stimulus of a certain emotion to selected subjects with high accuracy, extracting a heart rate variability (HRV) the subjects, forming a classification model by classification of the video stimulus and machine learning using the HRV through a model generating unit, and evaluating an emotional intelligence of the subject exposed to the image stimulus using the classification model.