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Biophysical Data Science Lab
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A lab that reads health and disease from the fluctuations in biological signals.
AboutAbout the lab
Reading Health and Disease from Biological Fluctuations
The Biophysical Data Science Lab studies how to read states of health and disease from the "fluctuations" that appear in biological signals.
Even at rest, a healthy person's heartbeat is not constant: the interval between beats varies irregularly, and in disease this feature tends to be lost, leaving a monotonous rhythm.
Focusing on the similarity to "fluctuations in complex systems," which arise from the interaction of many elements, the lab develops technologies that can help assess biological function and diagnose disease.
The lab also works on using health-related big data and biological information measured by wearable devices for medicine and health management.
Key terms
- Fluctuations in complex systems
- Fluctuations that arise from the interaction of many components within a system. Their basic properties have been studied in mathematical science
- Inter-beat interval
- The time from one heartbeat to the next. In healthy people, it varies irregularly even at rest
- Wearable device
- A device that can measure biological information while being worn on the body
ResearchResearch themes
Focusing on the similarity between biological signals and fluctuations in complex systems, the lab aims to develop technologies for assessing biological function and diagnosing disease by deciphering the structure of these signals. It also works on using health-related big data and biological information measured by wearable devices for medicine and health management.
MembersFaculty
- ProfessorKen Kiyono
- Assistant ProfessorHajime Ohtsu
- Assistant ProfessorSinyong Lee
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
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