No cameras. No fobs. Researchers say their system uses AI to keep on top of care-home residents’ safety | 24CA News

Technology
Published 11.04.2023
No cameras. No fobs. Researchers say their system uses AI to keep on top of care-home residents’ safety | 24CA News

There’s a new, non-invasive expertise that displays seniors in long-term care amenities with out the necessity for cameras, fobs or different conventional wearable devices.

Researchers on the University of Waterloo in Ontario use a wall-hung, low-power radio system and synthetic intelligence (AI) to be aware of habits like how usually residents go to the washroom, after they eat, or how lengthy they normally watch TV. It may also alert care suppliers within the occasion of a fall.

Hajar Abedi is a PhD candidate in techniques design engineering on the college and lead writer of the research, which was revealed within the journal the Institute of Electrical and Electronics Engineers (IEEE) Internet of Things.

“We use artificial intelligence to actually make our lives easier because we can train them and they can do our job, and basically, our main purpose is to save lives using this AI technology,” Abedi informed CBC Kitchener-Waterloo.

Monitoring seniors as they go about their day by day lives permits care suppliers to carry on high of any adjustments, she mentioned.

“For example, we know your gait speed right now and in the next month. So based on what we see, we have a baseline of each individual,” Abedi mentioned.

When the monitor notes one thing irregular, equivalent to a recurring change in stride size whereas strolling, “we can identify or send notification to caregivers. If [the seniors] walk slower over a period of time, [caregivers] can tell.”

Portrait of woman
Hajar Abedi, a PhD candidate in techniques design engineering on the University of Waterloo, led a research into utilizing AI to watch seniors in long-term care with out the necessity for wearable gadgets or cameras. (Kate Bueckert/CBC)

The monitoring system, known as ElephasCare, works by way of a radio wave machine comparable in measurement to an web modem and might be mounted on the wall. No cameras are put in.

This helps defend an individual’s privateness and is extra helpful than wearable gadgets, which might be cumbersome or typically require the individual to work together with them to make sure they’re working correctly, Abedi mentioned.

LISTEN | New wall-mounted AI sensor can monitor seniors and ship safety or well being alerts:

The Morning Edition – Okay-W7:17UW researchers monitor seniors in long-term care with non-invasive system

Researchers on the University of Waterloo have developed a system that may monitor seniors in long-term care amenities with out the necessity for cameras or wearable gadgets. Hajar Abedi, a Ph D candidate in techniques design engineering and lead writer on this research, explains the way it works.

‘Interest ranges are excessive’

Waterloo-based firm Gold Sentintel has simply began a pilot utilizing the system, known as ElephasCare, in an area long-term care facility.

Greg Dalton, chief government officer of Gold Sentintel, mentioned the preliminary security concern centered on folks having falls.

They “quickly realized that to make a meaningful impact, fall prevention had to become the core of our efforts.”

According to the Public Health Agency of Canada, falls are a number one reason behind injury-related hospitalization for Canadians 65 and older.

Dalton mentioned workers in long-term care properties can’t watch residents 100 per cent of the time. If a resident falls at evening when staffing ranges are typically decrease, that individual might stay on the ground for longer durations of time.

The longer it takes for employees to reply, the increased the possibility of a foul well being consequence, so with the ability to immediately alert workers a few fall will “prevent needless suffering,” he mentioned.

“The beauty of AI is that as the data set collected by ElphasCare grows, we’ll be able to identify [other] trends and develop predictive models to better improve outcomes for seniors in care and the front-line staff caring for these elders.

“Interest ranges are excessive,” Dalton said. The company recently attended a long-term care conference in Toronto, where they spoke to people in the long-term care industry.

“They are all very fascinated with our distinctive strategy that’s each resident-centred and clinically knowledgeable as effectively. Our AI gives completely new information to front-line caregivers to permit them to offer higher, extra centered customized care to residents,” he said.

Need to ‘find the right balance’

Using this type of research and AI technology in long-term care homes across Canada is worth exploring, said Jodi Hall, chief executive officer of the Canadian Association for Long Term Care (CALTC).

Hall said the research out of the University of Waterloo “sounds prefer it could possibly be an extra instrument for groups to assist residents’ security,” but noted “no piece of expertise is a alternative for a talented care supplier.”

“At a time when long-term care is at the moment grappling with staffing shortages and burnout, we should always not view expertise as an answer by itself, as a multi-faceted recruitment and retention technique is required,” Hall said in a statement to 24CA News.

As well, Hall said, it would be important to engage people who live in long-term care facilities, their families, staff and government “to search out the proper stability” before moving ahead.

“For all of society, it will be important that we proceed to stability the development of expertise with issues that privateness is revered,” Hall said.

“In specific, in long-term care, most of the residents are susceptible and have complicated care wants. It’s of paramount significance that we preserve their dignity and privateness always.”