Research field (3)：
Physiology
, Cardiology
, Sports science
Research theme for competitive and other funds (2)：
2023 - 2027 筋肉量と筋肉の柔らかさのバランスを考慮した新しいトレーニング法の開発
2020 - 2023 大規模疫学研究に利用できる味覚検査方法の開発とその応用に関する研究
Papers (11)：
Chiune Funaita, Wakaba Furuie, Fumika Koike, Saki Oyama, Junji Endo, Yoshio Otani, Yuri Ichikawa, Minako Ito, Yoichi Nakamura, Keiko Komatuzaki, et al. Pattern recognition of forced oscillation technique measurement results using deep learning can identify asthmatic patients more accurately than setting reference ranges. Scientific Reports. 2023. 13. 1
Kohei Ashikaga, Haruki Itoh, Tomoko Maeda, Yuri Ichikawa, Shiori Tanaka, Akira Koike, Shigeru Makita, Kazuto Omiya, Yuko Kato, Hitoshi Adachi, et al. Age and sex stratified normal values for circulatory and ventilatory power during ramp exercise derived from a healthy Japanese population. 2023
Ashikaga K, Itoh H, Maeda T, Itoh H, Tanaka S, Ichikawa Y, Nagayama M, Akashi YJ, Isobe M. Usefulness of the predicted percentage ventilatory efficiency for carbon dioxide output during exercise in patients with chronic heart failure. 2023
Changes in Biochemical Parameters and Free Glycerol Levels After a Short- Term Weight- Reduction Program in Judo Athletes
(The 4th International Academy of Sportology 2024)
Hemolysis and iron metabolism after regular exercise in competitive Judo athletes
(2024)
Efficacy of Skeletal Muscle Assessment Using Quantitative Ultrasonography
(The 4th International Academy of Sportology 2024)
