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Biological Information Engineering Lab
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A health and medical research lab that evaluates mental and physical conditions from biological data collected in daily life.
AboutAbout the lab
Understanding and Using Biological Information
The Nakamura Lab studies the measurement and analysis of biological information and its applications in health and medicine.
The lab uses IoT devices to collect and analyze biological information from daily life, and develops digital biomarkers that objectively evaluate and detect mental and physical conditions, diseases, and pre-disease states.
Building on these evaluation and detection technologies, the lab also studies methods for behavior change using digital devices.
On the lab's website, it is introduced under the name "Nakamura Lab."
Key terms
- Digital biomarker
- An indicator obtained from biological information that is used to objectively evaluate mental and physical conditions or diseases
- Pre-disease state
- A state in which the risk of developing a disease has increased
- JITAI (Just-in-Time Adaptive Intervention)
- A method that analyzes biological information from daily life in real time and intervenes at the right moment for each individual's state
- Dual task
- An experimental method that evaluates the brain's information-processing capacity and attention allocation by having a person perform two tasks at the same time
NewsLab news
View More ↗ResearchResearch themes
The lab works on measuring and analyzing biological information from daily life, collected with IoT devices and other tools, and on applying it to health and medicine. Based on its technologies for evaluating and detecting mental and physical disorders, it is also developing behavior change methods that use digital devices.
*Illustrative imageEvaluating mental and physical conditions from biological information
The lab objectively evaluates mental and physical conditions, disease risk, and pre-disease states from biological information collected in daily life. Using indicators such as the behavioral statistical laws seen in the durations of activity and rest, it develops methods for the objective assessment and early detection of psychiatric disorders.
*Illustrative imageBehavior change through JITAI
The lab studies JITAI, which analyzes biological information in real time and intervenes at the right moment for each individual's state. It estimates a person's state from data on mood, physical activity, heart rate, and sleep, and develops coaching methods that can help improve sleep and presenteeism among workers.
*Illustrative imageEstimating cognitive function with dual tasks
The lab has developed a dual-task system in which participants perform a calculation task while stepping in place, and analyzes motor and cognitive performance during the task using methods such as deep learning. This work is leading to methods for estimating current cognitive function and predicting future decline.
*Illustrative imageReconstructing 3D CT images from 2D X-ray images
Reconstructing 3D CT images from 2D X-ray images is one of the key challenges in medical image analysis. Existing methods lose reconstruction accuracy when the subject's posture changes, so the lab is developing a new machine learning method that takes posture rotation into account.
MembersFaculty
The lab's members consist of faculty, research students, and doctoral, master's, and undergraduate students.
- ProfessorToru Nakamura
- Associate ProfessorShuqiong Wu
- Assistant ProfessorYudai Fujimoto
VoicesStudent voices
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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).
- Top image: “Withings Move ECG watch worn on wrist” Peterhcharlton / CC BY 4.0 (cropped)
- Evaluating mental and physical conditions from biological information: “Max Health Band” Peterhcharlton / CC BY 4.0 (cropped)
- Behavior change through JITAI: “Personal Health Apps for Smartphones” Intel Free Press / CC BY 2.0 (cropped)
- Estimating cognitive function with dual tasks: “Exercise Stepper” GautamSudhanshu / CC BY-SA 4.0 (cropped)
- Reconstructing 3D CT images from 2D X-ray images: “Computed Tomography (CT) Scan Facility in Navi Mumbai” Goleisureintl / CC BY 4.0 (cropped)
- Related lab (Augmented Reality Lab): “MicrosoftHoloLensOnHead” Kai Kowalewski / CC BY-SA 4.0 (cropped)
- Related lab (Bioimaging Lab): “ZEISS LSM 800 with Airyscan- Your Compact Confocal Power Pack ( )” ZEISS Microscopy from Germany / CC BY-SA 2.0 (cropped)
- Related lab (Control and Information Systems Lab): “Blackghost” Paul Esparon, Sunil Shah, Dr Timothy Nickels and the 2008 CAUV team. / CC BY-SA 3.0 (cropped)
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