Why current testing can miss dangerous heart risks

Standard clinic electrocardiograms (ECGs) capture only a short snapshot of the heart’s electrical activity. That brief recording often misses intermittent patterns typical of some inherited rhythm disorders; a dangerous pattern can appear briefly and then vanish, leaving a normal-looking ECG.

Many home ECG devices extend monitoring but still rely on adhesive chest electrodes and a small worn monitor. Users must remove the system for activities such as showering and then reattach it, making long-term continuous use uncomfortable or impractical — and allowing important events to go unrecorded.

What the smart T-shirt does differently

The garment uses soft, sportswear-style fabric with sensors woven or stitched into the cloth so it can be worn under clothes, slept in and washed. The multi-sensor array records continuous electrical signals for days or weeks while users go about daily life; AI then analyses long recordings for subtle patterns linked to inherited conditions such as Brugada syndrome.

“The team hopes their ‘AI-assisted t-shirt will provide a practical and comfortable solution,'” said Professor Zachary Whinnett, underscoring the aim to find treatable inherited conditions earlier.

How the AI is being trained and tested

Developers are training algorithms on ECG data from more than 1,000 people, including those with known inherited rhythm disorders and healthy volunteers, enabling the AI to distinguish normal variability from high-risk signals.

The next stage is a feasibility study at Hammersmith Hospital’s Peart-Rose Research Unit where about 200 volunteers will wear the shirt for up to three months. Researchers will assess real-life detection of abnormal rhythms outside the clinic and — if successful — aim for larger trials and regulatory approval before clinical use.

Funding and expert views

Funding comes from >£340,000 awarded by the British Heart Foundation, together with NIHR Imperial Biomedical Research Centre support. BHF’s Professor James Leiper said the shirt could “unmask these hidden conditions” and help prevent sudden deaths.

Design challenges and data questions

Clothing that records medical-grade ECG signals faces several engineering challenges: sensors must remain in contact with skin while staying comfortable; materials must be washable without damaging electronics; and the AI must separate noise from valid heart signals and minimise false alarms that could cause anxiety or unnecessary testing.

There are also important data and privacy considerations. Continuous monitoring generates large volumes of health data, so the team must ensure secure storage, processing and access. Regulators will review data handling before patient deployment.

Early signs and a cautious timeline

Researchers estimate the technology could reach clinical practice in about five years, assuming favourable trial results, regulatory review and work on manufacturing and data systems. For now, the immediate aim is to show the shirt detects abnormalities outside clinics better than short ECGs or current home monitors.

Implications for the World

Economic impact

Widespread adoption could change health-system spending on cardiac testing: long-term monitoring may reduce emergency admissions and expensive late interventions by identifying risk earlier. At the same time, production, data infrastructure and clinician training will require upfront investment, while insurers and public systems consider reimbursement.

Political consequences

Public health systems may pursue trials and coverage if the shirt proves cost-effective. Regulators across Europe, North America and elsewhere will set safety and privacy standards, and approval and funding choices could factor into broader debates on AI adoption in medicine.

Social effects

For families with inherited heart conditions, the shirt could provide reassurance and earlier diagnosis, potentially reducing sudden cardiac events. However, continuous monitoring could also increase anxiety if results are ambiguous; clear communication and access to follow-up care will be essential.

Cultural relevance

Wearable medical clothing aligns with global trends in health tracking and self-care. A simple T-shirt that avoids sticky leads may be more acceptable across cultures, but designers must prioritise style and comfort so users of diverse backgrounds will adopt it.

Practical applications for patients and health services

Clinicians could use extended recordings to make better-informed decisions about testing and treatment. Screening programmes for families with inherited conditions could expand, and emergency services might see fewer sudden events if high-risk individuals are identified and treated earlier. The AI could flag unusual patterns for clinician review, saving time and uncovering otherwise missed cases.

Summary: The Imperial College project blends medical research and wearable design; if trials confirm its promise, the AI-powered smart T-shirt could give clinicians a better chance to find inherited heart rhythm disorders before they become fatal.