Kyoto, Kyoto City
We have developed a prototype AI system (next page) that uses heart rate variability (HRV) analysis technology and machine learning to automatically detect not only the presence of AF but also frequent premature contractions, which are a risk factor for AF, based solely on just 30 R-R interval (RRI) data points (approximately 30 seconds) acquired by a wearable sensor.
This AI system can determine whether the data indicates AF, premature contractions, or a normal rhythm, with results immediately viewable on a smartphone app. While smartwatches previously could only detect the presence or absence of AF, by evaluating premature contractions—which may indicate hidden AF—this system enables accurate AF detection with minimal wear time.
We have developed a prototype AI system that uses machine learning to automatically detect not only the presence of AF but also frequent premature contractions that could indicate AF risk, based solely on 30 R-R interval (RRI) data points (approximately 30 seconds) acquired from a wearable sensor. In this project, we are advancing practical implementation by adopting Toyota Tsusho Corporation's Lotus Heart (Class II) as the wearable sensor.
| Representative |
Tetsuma KawajiMarch 2010: Graduated from Kyoto University, Faculty of Medicine, Department of Medicine September 2019: Awarded Doctorate (Medicine: Kyoto University Graduate School of Medicine, Department of Cardiovascular Medicine) Currently serves as Attending Physician and Chief of the Arrhythmia Unit in the Department of Cardiology at Mitsubishi Kyoto Hospital, engaged in arrhythmia treatment. Concurrently holds positions as Visiting Researcher in the Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, and Researcher at the Graduate School of Informatics, Kyoto University, continuing clinical research and securing numerous research grants. Regularly publishes international papers, with over 50 as First Author/Corresponding Author. Has received numerous awards, including: 2016: Grand Prize, Research Presentation Category, 14th Kyoto Cardiovascular Forum the 2020 7th Cardiovascular Imaging Award Excellence Prize at the 84th Annual Scientific Meeting of the Japanese Circulation Society, the 2021 26th Japanese Arrhythmia and Electrocardiology Society Academic Encouragement Award Excellence Prize at the 67th Annual Scientific Meeting of the Japanese Arrhythmia and Electrocardiology Society, and the 2023 Outstanding Presentation Award at the 3rd Japanese Arrhythmia and Electrocardiology Society Kinki Branch Regional Meeting. While my focus has been on arrhythmia diagnosis and clinical research, I feel there is a growing need for wearable devices that are gentle on elderly patients, who are frequently encountered in arrhythmia care. This has led me to pursue entrepreneurship. The SaMD technology described here is currently being patented with CTO Fujiwara: PCT/JP2023/012844 (Basic Application: Patent Application 2022-077509, filed May 10, 2022): Fujiwara K, Kawaji T, Saeda S, Yamakawa T, Kato M, Yokomatsu T, Miki S. IoT-based atrial fibrillation screening system, development and prospective study. IEEE Internet Things J. 2025 in press |
|---|---|
| Main Achievements | 2013: 11th Kyoto Cardiovascular Forum, Case Report Section, Best Presentation Award 2014: 117th Kansai Regional Meeting of the Japanese Circulation Society, YIA Session, Outstanding Presentation Award 2015: 119th Kansai Regional Meeting of the Japanese Circulation Society, YIA Session, Outstanding Presentation Award 2016 14th Kyoto Cardiovascular Forum Research Presentation Section Grand Prize 2019 38th Kyoto-Shiga-Nara Heart Rhythm Study Group Grand Prize for Outstanding Presentation 2020 84th Annual Meeting of the Japanese Circulation Society 7th Cardiovascular Imaging Award Excellence Award 2021: 67th Annual Meeting of the Japanese Society of Arrhythmia and Electrocardiology, 26th Japanese Society of Arrhythmia and Electrocardiology Academic Encouragement Award, Excellence Award 2023: 3rd Japanese Society of Arrhythmia and Electrocardiology Kinki Branch Regional Meeting, Outstanding Presentation Award 2024: 44th Kyoto-Shiga-Nara Heart Rhythm Study Group, Outstanding Presentation Award 2025: 89th Annual Meeting of the Japanese Circulation Society, 42nd YIA (Clinical Research Category) Excellence Award |
| Representative Name | Tetsuma Kawaji |
|---|---|
| Address | 1 Katsura Gosho-cho, Nishikyo Ward, Kyoto City, Kyoto Prefecture Mitsubishi Kyoto Hospital |
| Founding Date | April 1, 2017 |