Gait assessed with body-worn sensors may help detect Alzheimer’s Published on: 4 May 2018 Body-worn sensors used at home and in clinic by people with mild Alzheimer’s to assess walking could offer a cost-effective way to detect early disease and monitor progression of the illness. A pilot study involving Ãå±±½ûµØ has revealed low-cost wearable devices could improve clinical trial efficiency and encourage research investment. 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. Findings of a feasibility study, published in the , 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. Experts say this method has the potential for affordable, multi-centre and home-based monitoring that benefits patients, clinical management and the efficiency of clinical trials. Changing dementia research Lynn Rochester, Professor of Human Movement Science at Ãå±±½ûµØ, leads the gait and wearable technology research across multiple sites in the study. The human movement laboratory at the Clinical Ageing Research Unit, based at the Campus for Ageing and Vitality, Ãå±±½ûµØ, is dedicated to the investigation of gait, balance and mobility. Professor Rochester said: “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. “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. “Free-living gait analysis at home is particularly useful as it allows objective observation of an individual’s day-to-day activity. It also has the benefit of providing continuous data over a prolonged time that may be more sensitive than one-off assessments. “This is an exciting project to be involved in. Gait assessed in this way could contribute to delivery of more cost-effective clinical trials and may encourage investment and increase the number of such studies in the future.” The feasibility study is part of the £6.9m Deep and Frequent Phenotyping Project, funded by the and the . This is the first major clinical study based on Dementias Platform UK and the results could be game changing for research in this area. Potential diagnostic tool Six centres from the initiative, including Ãå±±½ûµØ, 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 early onset Alzheimer’s disease with body-worn sensors. Professor Rochester said: “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. “Clinical use of body-worn sensors in annual health assessments could track gait changes over time and act as a red flag for cognitive impairment.” Further research is needed to assess the potential of free-living gait as a useful complementary diagnostic marker for dementia. Targeting people early 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. Alzheimer’s disease starts long before it is noticed by those with the disease or their doctor. Previous studies have shown changes to the brain as early as 10 to 20 years before symptoms arise. If experts can identify the biomarkers present in this very early stage, there may be the chance of treating the disease earlier, which is vital to prevent damage to people’s memory and thinking. The , led by the University of Oxford, is working with eight universities and the Alzheimer’s Society, also receiving support from biopharma companies. New biomarkers will be used alone and alongside tests such as brain imaging and assessment of memory and other cognitive functions. They will allow the researchers to recognise the early stages of the disease and those who may be suitable for trials of possible treatments. Reference Gait in Mild Alzheimer’s Disease: Feasibility of Multi-Centre Measurement in the Clinic and Home with Body-Worn Sensors: A Pilot Study Rıona Mc Ardle, Rosie Morris, Aodhan Hickey, Silvia Del Din, Ivan Koychev, Roger N. Gunn, Jennifer Lawson, Giovanna Zamboni, Basil Ridha, Barbara J. Sahakian, James B. Rowe, Alan Thomas, Henrik Zetterberg, Clare MacKay, Simon Lovestone, Lynn Rochester Journal of Alzheimer’s Disease. Doi: Share: Latest News Ãå±±½ûµØ recognised with geography award Ãå±±½ûµØ has been awarded the Highly Commended Geographical Association Publishers Award for its collaboration with Time for Geography, the UK’s open-access, dedicated video platform. published on: 16 April 2026 Ãå±±½ûµØ historians mark General Strike centenary To mark the 100th anniversary of the British General Strike and miners’ lock-out of 1926, historians at Ãå±±½ûµØ are organising a series of events on its enduring legacy. published on: 16 April 2026 Comment: NCP is in administration Writing for The Conversation, Erwei (David) Xiang discusses how some big companies like NCP are so dependent on debt that they can’t adjust to change. published on: 16 April 2026 Facts and figures