Dementia Care-assist AI system which predicts andprevents BPSD
What’s DeCaAI？
DeCaAI is an abbreviation of “Dementia Care-assist AI system”. Development of thesystem is a 3-year project from 2019 to 2022, financially supported by the Japan
Agency for Medical Research and Development (AMED). The project was executed byfollowing institutions: Tokyo Center for Dementia Care Research and Practices as arepresentative; Senior Dementia Institute as a co-representative; University of ElectroCommunications; and so on.

How DeCaAI works?
From medical and nursing care facilities (including home),① Vital data of the person with dementia (pulse, body movement, etc.)② Environmental data (room temperature, moisture, illuminance, etc.)③ The care record entered by the caregivers
are collected to cloud computer via internet communication link.
Analyzing these data using AI,
1) DeCaAI predicts BPSD* 30 min and 60 min in advance2) DeCaAI notifies BPSD with appropriate preventive care to on-site caregivers.
These prevent the occurrence of BPSD, and reduce severity of it, when it occurs,
through notification of appropriate care to caregivers.
* BPSD, which is a medical term, is an abbreviation of “behavioral and psychological symptoms of dementia”.
This includes irritability, verbal abuse, repetitive behavior, delusions, hallucinations, depression, and anxiety.
From the caregiver's point of view, it is a symptom. But BPSD can also be seen as a sign that the person's
heart is expressed in their words and actions.

Dementia Care-assist AI system which predicts andprevents BPSD
Utilization of DeCaAI ① AI Prediction of BPSD
- Feedback of Preventive Care to Nursing Care Site
Examples of notification on mobile devices (tablets and smartphones)
Notification① Notify the type and time of○○○○○さん、Mr.○○
may wander after 30 minutes.

BPSD that occurs.

I got it.
We○○○○○さん、searched for BPSD support method about
Mr.○○. Accept?
I accept.
○○○○○さん、
Speakclearly and understandably and don't getconfused. Call out not to deny the behavior.

② Notify preventive careat the same time.

After being notified, then provide care

The caregiver inputs the result after doing the preventive care. Thus, AI
learns more, and will propose more accurate preventive care next time.
SymptomsAuditory hallucinations may occur after 30 minutes.
Preventive care

Guess the trigger and remove it.
Let's try to eliminate daily dissatisfaction.
③ Feedback to AI (Yes/No)

feedback of preventive care
The sign present, and improved by the care.
The sign present, but NOT improved by the care.
The sign present, but NO care is needed.
The sign NOT present.
I will deal with it later.

save1) Presence of the sign2) Improvement after the care

Dementia Care-assist AI system which predicts andprevents BPSD
Utilization of DeCaAI ② Voice input when BPSD occurs- Care record with automatic classification of sentences into F-SOAIP
Example of voice input chat screen and record confirmation screen
In voice chatMr. ○○○○Start recording. Please talk to me.
Input the occurrence of

He wanders around the unit. When I
called him, his expression became stern,
and he said, "Don't get too close, thief."
I watch him out of danger.

BPSD by voice chatIs that all?

Care record confirmation
○○○○
Mr.
○○○○

2022/9/22 Mon

Time lapse (bottom to top)Thank you. I was looking for it.
He smiles and thanks me when I guide him tothe restroom.
I call again after 5 minutes.
Don't deny the behavior, think about the intention.

Don't get too close, thief.
He wanders around the unit. When I called out
to him, his expression became stern.
I watch him out of danger.
I hope him stay awake during the day andcreate a sleep-wake rhythm.
He sleeps all the time and never wakes up.
I call out him a few times

S：Subjective

O：Objective

I：Intervention

P：Plan③ Enter response to care
→ Automatic classification② AI notifies preventive
care plans① AI automaticallyclassifies input
sentences into F-SOAIP

Dementia Care-assist AI system which predicts andprevents BPSD
What is need to the DeCaAI?
＊The current BPSD prediction accuracy is about 80% in favorable conditions. We
should further improve the system, so that it gets "good" evaluation form users(caregivers).
＊If the BPSD predictions is too frequent, the preventive care may become a burden
on caregivers.
＊Even if BPSD can be prevented by the preventive care, it may be difficult to get asense of accomplishment, because of no show of the BPSD. There is no way to knowwhether the DeCaAI’s prediction is correct or incorrect.
＊In order to acquire vital data (pulse, body movement, etc.), person with dementia
should wear a wristwatch-type sensor device.
＊Appropriate internet link environment (speed and security) should be provided totransmit safely large amounts of data to the cloud computer in real time.
＊Currently, we are discussing with care record software vendors and other companies
for social implementation of the DeCaAI in 2023. For that, it is necessary to calculate
costs of sensors, tablets, hearable devices, Wi-Fi equipment and system usage fees.

Outline of the AMED research and development project
Project name：Development and implementation of the dementia care AI/IoTservice, which reduces care burden by predicting/preventing BPSD.
（Grant Number：JP22us042001, 2019～2022)
Team：Tokyo Centre for Dementia Care Research and Practices, Senior Dementia
Institute, University of Electro-Communications, Japan Advanced Institute of
Science and Technology, Gunma University, International University ofHealth and Welfare, Saitama Prefectural University, Nihon Fukushi
University, National Center for Geriatrics and Gerontology, ASPIC
Cooperating companies: WISEMAN CO., CARECOM CO., NTT DATA CO., etc.
Project Secretariat: Tokyo Center for Dementia Care Research and Practices
1-12-1 Takaido-Nishi, Suginami-ku, Tokyo 168-0071, Japan
Tel: 03-3334-2173, E-mail: tokyo_dcrc@dcnet.gr.jp
Contents are based on data at December, 2022.
This document can be obtained at DCnet, https://dcnet.gr.jp/support/bpsd20-22/