Abstract: A breast cancer diagnosis system includes a probe that sequentially outputs light of a plurality of wavelengths of a near-infrared area to a target object, receives reflected light, and sequentially processes the reflected light; a central control device that receives optical data of the reflected light sensed by the probe, calculates a concentration of chromophore of the target object for each chromophore, and generates an image of the chromophores indicating a distribution of the concentration value of each chromophore; and a display that outputs the image, in which in the probe, one or more channel signal processing units including one or more light irradiation modules and light collection modules may be disposed, and each of the channel signal processing units sequentially operates so that each of the channel signal processing units may generate the optical data of the reflected light.

Abstract: A management server for providing behavioral habit improvement includes a communication module, a memory configured to store a behavioral habit improvement service providing program, and a processor configured to execute the program, wherein the processor executes the program to provide a user terminal with a user interface that allows an input of behavior pattern information including behavioral habits, a trigger, and a solution, and period information for implementing the behavior pattern information, to match the behavior pattern information, the period information, and user identification information input from the user terminal, to store the matched information in a database, to generate a behavior pattern feed that displays the behavioral habits, the trigger, and the solution on one screen, and to provide the behavior pattern feed through the user interface.

Abstract: Disclosed is a method for analyzing a body component, which is performed by a computing device including at least one processor according to some exemplary embodiments of the present disclosure. The method may include: acquiring a first measurement value measured in tissue to be measured by using a first device; acquiring a chromophore concentration value measured in the tissue to be measured by using a second device different from the first device; training a neural network model by using training data generated based on the first measurement value and the chromophore concentration value; and when the training of the neural network model is completed, acquiring a prediction value of a chromophore concentration by inputting a second measurement value measured in a specific tissue by using the first device into the neural network model.

Abstract: A signal processing device that processes a bio-signal includes a lock-in amplifier chip configured to output a frequency-modulated modulation signal and enable one or more light sources to be driven in response to the modulation signal, and a multiplexer configured to receive and multiplex light sensing signals output from the light sources and then measured by multiple light measurement units, and the lock-in amplifier chip sequentially demodulates the multiple light sensing signals transmitted through the multiplexer.