Not yet recruitingOBSERVATIONAL

Precision Detection and Prediction of Atrial Arrhythmias Using Artificial Intelligence and Consumer Wearable Devices

This research is investigating how wearable devices, like smartwatches, combined with artificial intelligence (AI), can help doctors find and predict a common heart condition called atrial fibrillation (AF). AF affects over a million people in the UK and can lead to serious health issues. Current detection methods are often limited in how long they can monitor your heart. While some existing options are very accurate, they can be invasive. Wearable devices offer a non-invasive way to continuously monitor heart rate. This study builds on previous work to develop an AI system that uses data from these wearables to improve the early detection and management of AF, potentially making diagnosis simpler and more cost-effective.

At a glance

Status

Not yet recruiting

Sponsor

Royal Brompton & Harefield NHS Foundation Trust

Enrolment target

Start

01 Dec 2025

Estimated completion

01 Aug 2026

Atrial Fibrillation (AF)

What is this study about?

Atrial fibrillation (AF) is a very common heart condition where your heart beats irregularly. It affects over one million people in the UK and can increase your risk of other health problems. Currently, doctors use several different ways to check for AF. These include simply feeling your pulse, taking a one-off heart tracing (ECG), or using small portable monitors that record your heart rhythm for a day or two (Holter monitor). While these methods are useful, they can miss AF if it doesn't happen during the short time you're being monitored. There are also more advanced devices that can be inserted under the skin for continuous monitoring, but these are invasive.

In recent years, many people have started using wearable devices, like smartwatches, which can track things like heart rate and activity. This study aims to use the information gathered by these everyday devices, combined with advanced computer programs called artificial intelligence (AI), to develop new and better ways to detect and predict AF. The goal is to make it much easier to constantly monitor your heart rhythm in a way that isn't invasive and doesn't require frequent hospital visits.

This research is building on an earlier study. The main focus is to create a sophisticated AI program that can use the data from these wearable devices to spot patterns that might indicate AF. By doing this, we hope to find AF earlier, help doctors manage the condition more effectively, and ultimately improve the health of people living with or at risk of AF.

Key takeaways

Exploring new ways to detect AF using smartwatches and AI.
Aims for earlier and less invasive AF diagnosis.
Focuses on continuous heart rhythm monitoring.
Builds on previous research for improved AF detection.
Could help millions affected by AF in the future.

Who may be eligible?

To join this study, you need to be an adult aged 18 or over who has been diagnosed with atrial fibrillation (AF) that comes and goes (paroxysmal AF), or you've had treatment for AF and your heart rhythm has returned to normal. You also need to be comfortable using digital devices and have regular access to Wi-Fi.

Crucially, you must own a smartphone from 2017 or newer to participate.

Unfortunately, if your AF is constant and hasn't been brought under control with treatment, or if you have any conditions that would make it difficult to follow study instructions or use the devices, you won't be able to take part. Also, if you have a severe allergy to any materials in the wearable or ECG device, it wouldn't be safe for you to join.

Could this study suit you?

Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.

Are you 18 years old or older?
Have you been diagnosed with AF that comes and goes, or have you had AF treated and your heart rhythm is now normal?
Do you use digital devices regularly and have good internet access (Wi-Fi)?
Do you own a smartphone released in 2017 or later?
Is your AF currently well-controlled if you have it continuously?
Are you able to comfortably use study devices and follow instructions?

Answer every question to see your result.

What does participation involve?

If you take part in this study, you'll be asked to use a wearable device (like a smartwatch) that monitors your heart rate and activity. You'll also use your smartphone to send data and interact with the study. The study aims to collect information over a period of time to help develop the AI system. Specific details about visits, assessments, and the full duration of your participation would be provided in the full consent form if you were interested in joining.

Potential risks and benefits

Taking part in this study could help advance our understanding of how wearable technology can detect heart conditions earlier, potentially benefiting many people in the future. You might also gain more insight into your own heart rhythm during the study. As with any study involving devices, there's a small risk of skin irritation from wearing the device. The study will provide clear instructions on how to use all equipment safely. Remember, your participation is completely voluntary, and you have the right to withdraw from the study at any time without giving a reason, and it won't affect your medical care.

Locations (1)

Some site locations are approximate. We're improving this — please verify with the trial team before travelling.

Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust
Verified postcode
London, United Kingdom

Common questions

What is atrial fibrillation (AF)?

AF is an irregular and often fast heartbeat. It's a common heart rhythm disorder that can increase your risk of stroke and other heart-related problems.

What are wearable devices?

These are electronic gadgets you can wear, like smartwatches or fitness trackers, which can monitor your heart rate, activity levels, and other health data.

What is Artificial Intelligence (AI)?

AI refers to computer systems that can perform tasks that normally require human intelligence, such as learning from data, recognising patterns, and making predictions.

How will this study help patients?

By using wearables and AI, this study aims to develop easier, more continuous ways to detect AF, potentially leading to earlier diagnosis and better management of the condition in the future.

Will this study recommend treatments for me?

No, this study is for research purposes only and will not provide medical advice or recommend specific treatments for your condition.

How to find out more

Gamith S Adasuriya, MBBS, BSc (Hons)

gamith.adasuriya@nhs.net 01895823737 Official trial record

Always speak to your GP or specialist before deciding to take part in a study.