[15a-K306-1~11] 3.3 Biomedical optics

9:45 AM - 10:00 AM JST(12:45 AM - 1:00 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[15a-K306-4] Feature Variable of Lactic Acid Outside the Wavelength Peak Using Genetic Algorithm

〇Yusaku Nakanishi¹, Ayato Norimatsu¹, Shota Okada¹, Ruka Kobashi¹, Hibiki Yano², Daichi Anabuki², Ichiro Ishimaru¹ (1.Faculty of Engineering and Design, Kagawa University, 2.Graduate school of science for creative emergence, Kagawa University)

Keywords:

mid-infrared spectroscopy,genetic algorithm,analysis of momentum in physical movement

To evaluate human physical activity, the spectral intensity of the upper arm before and after exercise was measured using mid-infrared spectroscopy passive imaging. Furthermore, a genetic algorithm (GA) was used to extract features of the waveforms by solving the combination optimization problem based on the cross-correlation of two types of waveforms before and after exercise. As a result, two wavelengths were discovered that may enable a more sensitive evaluation of physical activity than the commonly used lactate.