Wearable sensors may help detect Alzheimer’s

London, May 7: Low cost, wearable sensors that assess walking gait can help detect Alzheimer’s disease early and monitor progression of the illness in a cost- effective way, a study has found.

Identification of clinical biomarkers, such as changes in walking characteristics and behaviours, are known to be important factors when looking at early warning signs of dementia.

The study, published in the Journal of Alzheimer’s Disease, shows that wearable sensors offer a good way to assess changes in how a person walks and also can be used for continuous “free- living” monitoring of gait during everyday activities.

The method has the potential for affordable, multi- centre and homebased monitoring that benefits patients, clinical management and the efficiency of clinical trials.

“How someone walks is not routinely used in clinical trials because the tools needed are typically restricted to specialised labs and one- off testing, missing subtle fluctuations in symptoms,” said Lynn Rochester, professor at Newcastle University in the UK.

“Wearable sensors at home and in the clinic have the potential to change dementia research. The ability to assess gait and walking behaviours in all aspects of life is a major step forwards in data collection," Rochester said.

The researchers recruited 20 patients with early Alzheimer’s disease.

Volunteers wore a small wearable sensor on their lower back. They carried out walking tasks in the laboratory and then went home wearing the sensor for a week, carrying out everyday tasks.

Gait is emerging as a potential diagnostic tool for cognitive decline.

The tools to quantify gait in the clinic and home, and suitability for multi- centre application, have not been examined until now.

Findings show data for comprehensive and clinically appropriate measures can be obtained for walking behaviour and pattern, and gait characteristics relating to the pace, timing, variability, and asymmetry of walking.

Experts have concluded that it is feasible to assess quantitative gait characteristics in both the clinic and home environment in patients with body- worn sensors.

“Body- worn sensors can provide an enriched picture of an individual's gait function and walking activities that could act as a complimentary diagnostic tools for clinicians,” said Rochester.

“Clinical use of bodyworn sensors in annual health assessments could track gait changes over time and act as a red flag for cognitive impairment,” she said.

An estimated 46.8m people worldwide were living with dementia in 2015, and with an ageing population in most developed countries, predictions suggest this number may double by 2050.