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Kameoka Lab
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A lab that measures information from the body with tiny sensors and connects it to healthcare.

AboutAbout the lab
Continuously measuring the body's data, anytime.
The Kameoka Lab studies biosensors that measure information from the body and the IoMT that connects them to the internet.
The IoMT rests on three technologies: biosensing devices, internet communication systems, and data processing in the cloud.
The lab believes that combining these three will make it possible to detect abnormalities in patients with chronic diseases immediately and from a remote location.
Beyond healthcare, applications are expected in fields such as agriculture, dairy farming, food safety, and water quality monitoring.
Key terms
- Biosensor
- A device that converts information coming from the body, such as blood glucose or blood pressure, into electrical signals or similar forms and measures it
- IoMT
- A system that connects medical devices and sensors to the internet and makes use of the collected medical data
- Feature selection
- Choosing, from among many measured values, only the items that truly matter for making a judgment
ResearchResearch themes
The Kameoka Lab conducts comprehensive research on the IoMT (Internet of Medical Things). It builds a single integrated system, from sensors that measure information from the body, to transmission to the cloud, to analysis by machine learning.
*Illustrative imageBiosensing devices
The lab develops biosensors that can measure continuously at low cost and with high accuracy, such as blood glucose sensors, blood pressure sensors, and wearable sensors.
*Illustrative imageInternet communication systems
Information from the body is continuously captured using smartphones, RFID, and small computers, and sent to the cloud over the internet. The lab studies how to optimize the way this data is transmitted to the cloud.
*Illustrative imageData processing in the cloud
This is the part that reaches a final judgment from the collected information about the body. To make correct judgments possible, the lab works on machine learning and deep learning programs and on optimizing feature selection.
MembersFaculty
- ProfessorJun Kameoka
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: “Acd” NASA / Public domain (cropped)
- Biosensing devices: “Snakehat ekgpad2” Deanobijekwu / CC BY-SA 3.0 (cropped)
- Internet communication systems: “Blue and Purple RFID tag” Midnightcomm / Public domain (cropped)
- Data processing in the cloud: “Yifan Hu layout” Pipisz / CC BY-SA 3.0 (cropped)
- Related lab (Kamata Lab): “Hilbert Curve Sweep” Renault33 / CC0 (cropped)
- Related lab (Furuzuki Lab): “Deep-dream-white-noise-0036” MartinThoma / CC0 (cropped)
- Related lab (Fujimura Lab): “001 Car factory assembly line - Opel factory in Gliwice, Poland” Marek Ślusarczyk (Tupungato) Photo portfolio / CC BY 3.0 (cropped)
- Related lab (Iwaihara Lab): “NOIRLab HQ Server Racks (6V6A0395-CC)” NOIRLab/NSF/AURA/T. Slovinský / CC BY 4.0 (cropped)
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