Gait Assessed with Body-Worn Sensors may Help Detect Onset of Alzheimer's Disease

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 Newcastle University, UK, 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 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.

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 Newcastle University, 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, Newcastle University, 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 National Institute for Health Research and the Medical Research Council.

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 National Institute for Health Research Translational Research Collaboration in Dementia initiative, including Newcastle University, 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 Deep and Frequent Phenotyping Project, 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.

Mc Ardle R, Morris R, Hickey A, Del Din S, Koychev I, Gunn RN, Lawson J, Zamboni G, Ridha B, Sahakian BJ, Rowe JB, Thomas A, Zetterberg H, MacKay C, Lovestone S, Rochesteron L, Deep and Frequent Phenotyping study team.
Gait in Mild Alzheimer's Disease: Feasibility of Multi-Centre Measurement in the Clinic and Home with Body-Worn Sensors: A Pilot Study.
Journal of Alzheimer's Disease. doi: 10.3233/JAD-171116.

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...