Abstract:
A diagnostic system, method, and a computer-readable storage medium for determining a severity of a gastric condition, such as gastritis, in a subject are disclosed. The diagnostic system includes a processor that obtains an image of a stomach of the subject collected by an endoscope. The processor can compare the subject image with reference normal and abnormal stomach images. If the subject image is abnormal, the processor can generate a subject abnormality image indicative of the differences between the subject image and the normal image. By comparing the generated subject abnormality image with reference abnormality images representative of different severity levels of gastritis, the processor can diagnose the subject as having a particular severity level of gastritis.
Abstract:
A biological information acquiring system includes a biological information acquiring apparatus having a biological information acquiring section, and a magnetic field generation section, and the biological information acquiring apparatus includes: a power source section which supplies power for driving the biological information acquiring section; a magnetic field detection section which outputs a magnetic field detection signal according to a detection result of a magnetic field generated from the magnetic field generation section; a first switching control section which performs control an on/off state of a first switch section connected to the power source section based on an output state of the magnetic field detection signal; and a second switching control section which performs control the on/off state of a second switch section connected between the first switch section and the biological information acquiring section, based on the output state of the magnetic field detection signal.
Abstract:
A system that can include a processor that obtains voice data of a subject. The processor can compare the voice data of the subject with reference normal and abnormal voice data. If the voice data of the subject is abnormal, the processor can generate an abnormal subject voice data that is indicative of differences between the subject voice data and the normal voice data. By comparing the generated abnormal subject voice data with the reference normal and abnormal voice data, the processor can determine what condition the subject may be suffering from and the severity of that condition.