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Nursing Systems and Care Development Lab
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The lab explores nursing care tailored to each individual, based on intestinal electrical potentials and carotid artery images.
AboutAbout the lab
Turning the body's signals into nursing care
The Nursing Systems and Care Development Lab conducts research that measures and analyzes the body's signals and images and applies the findings to nursing care, such as support for excretion and improvement of lifestyle habits.
Professor Ikumi Honda studies how to capture colonic movement with a lightweight, compact device that measures intestinal electrical potentials, predict bowel movements, and apply this to excretion care.
Associate Professor Natsuki Nakayama explores nursing interventions suited to each individual, based on image analysis of carotid ultrasound and measurements of sleep and autonomic nervous activity.
Key terms
- Intestinal electrical potentials
- Changes in electrical activity accompanying colonic peristalsis, detected by a sensor placed on the body surface
- Carotid ultrasound
- Ultrasound images of the carotid arteries. The images are analyzed to evaluate the state of arteriosclerosis
- Tailored nursing interventions
- Nursing that identifies, for each person, the lifestyle habits that promote arteriosclerosis and supports improving those habits in a way that suits that person
ResearchResearch themes
The lab develops indicators that lead to nursing care, aiming to address excretion care, a challenge in a super-aged society, and to prevent cardiovascular diseases such as stroke and myocardial infarction. By analyzing electrical potentials and ultrasound images obtained from the body surface, together with measurement data on sleep and autonomic nervous activity, it explores support systems suited to each individual.
Predicting bowel movements from intestinal electrical potentials
In collaboration with researchers at Yokkaichi Nursing and Medical Care University, the lab studied the use of a lightweight, compact device attached near the descending colon to capture the electrical potentials of colonic peristalsis that precede a bowel movement. It is now incorporating evaluation of autonomic nervous activity and machine learning to build a model that predicts signs of an upcoming bowel movement, aiming to apply it to systems for supporting excretion in older adults (Prof. Honda).
*Illustrative imageInvestigating arteriosclerosis through carotid ultrasound and lifestyle habits
The lab explores methods of evaluating the state of arteriosclerosis numerically by analyzing carotid ultrasound images, and aims to examine the related lifestyle habits of exercise, sleep, and diet, as well as stress (autonomic nervous activity). It is also trying machine learning and AI for image analysis, aiming to build tailored nursing interventions (Associate Professor Nakayama).
MembersFaculty
- ProfessorIkumi Honda
- Associate ProfessorNatsuki Nakayama
- LecturerYukari Takeno
- LecturerKeisuke Nakanishi
- Assistant ProfessorMomoka Kataoka
- Assistant ProfessorAoi Kono
- Assistant ProfessorMaki Nakajima
- Assistant ProfessorFumiya Hisano
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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.
- Top image: “Contrast-enhanced CT scan (coronal) of abdomen and pelvis showing acute appendicitis” Goleisureintl / CC BY 4.0 (cropped)
- Investigating arteriosclerosis through carotid ultrasound and lifestyle habits: “Medical ultrasound examination, Brazil” Agência de Notícias do Acre / CC BY 2.0 (cropped)
- Related lab (Community-Based Integrated Care Development Nursing Lab): “Genesis Nursing Home Vaccinations ( )” Maryland GovPics / CC BY 2.0 (cropped)
- Related lab (Next-Generation Development Nursing Lab): “US, Ghana midwives team up in maternity ward at African Lion )” U.S. Army photo by 1st Lt. Katherine Sibilla / Public domain (cropped)
- Related lab (Real-World Information, Health and Medicine Lab): “COMPUTER ROOM DISCHARGE” Keith4048 / Public domain (cropped)
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