Abstract: A symptom determination apparatus according to the present embodiment includes an EEG feature detection section and a symptom determination section. The EEG feature detection section detects one or a plurality of frequency components of an EEG signal in a certain brain area of a subject. The symptom determination section determines a depressive symptom in the subject based on the intensity of the one or plurality of frequency components of the EEG signal detected by the EEG feature detection section.

Abstract: A sleep determination apparatus includes a heart rate data obtainer that obtains, based on data regarding a heart rate of a body of a user, a very low frequency component (VLF), a ratio of a low frequency component (LF) to a high frequency component (HF), a mean heartbeat interval (RRI), and a standard deviation of each heartbeat interval (RRI) of the heart rate as heart rate variability parameters indicating a heart rate state; and a sleep state determiner that determines which of a plurality of sleep stages the user is in, using the heart rate variability parameters, in such a manner as to distinguish between a first non-REM sleep stage and a second non-REM sleep stage.

Abstract: To provide a region detecting method capable of setting a proper threshold independently of a photographing condition and moreover, quickly and accurately detecting a specific region, which uses an image data storing section 10 for storing a sample image 12 and a purposed image 11, a first computing means 1 for obtaining the extraction-region-identifying threshold data for a plurality of sample images including a common extraction region but having average color values different from each other in accordance with a genetic algorithm and generating a threshold table 8 for the average color values, a second computing means 2 for adaptively computing the extraction-region-identifying threshold data for the purposed image 11 in accordance with the average color value of the purposed image and the threshold table 8, and a third computing means 3 for detecting an extraction region in accordance with the threshold data computed by the second computing means 12.

Abstract: To provide a region detecting method capable of setting a proper threshold independently of a photographing condition and moreover, quickly and accurately detecting a specific region, which uses an image data storing section 10 for storing a sample image 12 and a purposed image 11, a first computing means 1 for obtaining the extraction-region-identifying threshold data for a plurality of sample images including a common extraction region but having average color values different from each other in accordance with a genetic algorithm and generating a threshold table 8 for the average color values, a second computing means 2 for adaptively computing the extraction-region-identifying threshold data for the purposed image 11 in accordance with the average color value of the purposed image and the threshold table 8, and a third computing means 3 for detecting an extraction region in accordance with the threshold data computed by the second computing means 12.