A Mobile Device Developed by VTT Detects Irregular Heartbeats and Helps to Prevent Cerebral Infarctions

VTT Technical Research Centre of Finland has developed a mobile app and thumb-size device that help to prevent cerebral infarctions at an early stage, during asymptomatic atrial fibrillation. The mobile device, which detects arrhythmia (irregular heartbeat) has been tested with excellent results for around two years in real-life conditions in cooperation with Turku University Central Hospital.

An irregular heartbeat tends to remain undiagnosed, if no symptoms are detected during Holter monitoring of heart activity.

"With the mobile device developed by VTT, users can register their ECG signal whenever arrhythmia or other heart symptoms occur. The device is also suitable for pre- and post-surgery monitoring of heart patients at home. There is no need for patients to visit a hospital, because the data is sent automatically from a mobile phone to medical staff via a cloud service," says Timo Varpula, Principal Scientist at VTT.

Arrhythmia notifications directly to your mobile phone
Convenient and easy to use, Beat2Phone accurately measures the user's heart rate and heart rate variability in order to detect not only an irregular heartbeat, but also overburdening and prolonged stress. A high resting heart rate and low heart rate variability are indicators of stress.

The Android-compatible app and device measure ECG signals at a very high sampling rate, identify individual heart beats and count the interval between consecutive beats. The device also includes position and activity sensors. Thanks to its flexible strap, Beat2Phone is comfortable to wear.

The mobile device has been tested by heart patients at Turku University Central Hospital, as well as by top athletes with heart conditions, who have been highly satisfied with it. Top athletes and professional sportspersons should monitor their heart activity regularly, because changes in ECG may be an indicator of myocarditis or other serious conditions.

The device has so far been tested by around 30 users, some of whom have also worn the device at night. The test users are people who have reported heart symptoms, but who have not experienced symptoms during earlier Holter monitoring.

In the tests, the device helped to detect atrial fibrillation, arrhythmia and a cardiac conduction disorder. The patients were admitted for further tests once they had shown their Beat2Phone electrocardiograms to a physician. Persons suffering from harmless irregular heartbeat have also reported improved quality of life due to the measuring device alleviating their uncertainty about their condition. The study is still ongoing.

Other potential users of the device include people suffering from sleep apnea.

The device is expected to go on sale to consumers in six months' time.

The number of potential users is growing as the share of aging persons increases. Approximately five per cent of the population suffers from irregular heartbeat, affecting around 12 per cent of people over 60. The number of people engaged in endurance sports is also rising.

About VTT Technical Research Centre of Finland
VTT Technical Research Centre of Finland Ltd is the leading research and technology company in the Nordic countries. We use our research and knowledge to provide expert services for our domestic and international customers and partners, and for both private and public sectors. We use 4,000,000 hours of brainpower a year to develop new technological solutions.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...