Your next heart test could start in your dresser drawer: Imperial College develops AI smart T‑shirt to spot hidden rhythm disorders
Imperial College researchers are developing an AI-powered smart T‑shirt with dozens of woven ECG-style sensors to record continuous heart signals for days or weeks, aiming to spot inherited rhythm disorders that routine short ECGs often miss.
Key takeaways
- Continuous, comfortable monitoring: An AI-powered smart T‑shirt with up to 50 woven ECG-style sensors aims to record heart signals for days or weeks.
- Targets inherited rhythm disorders: The device focuses on conditions such as Brugada syndrome that can be missed by short clinic ECGs (Imperial College announcement).
- AI-trained on real ECGs: The algorithm used for detection is trained on ECGs from more than 1,000 people; a feasibility study will test ~200 volunteers for up to three months (Imperial overview).
- Funded by major charities: The project has received over £340,000 from the British Heart Foundation, with NIHR Imperial BRC support.
Why this matters
Standard ECG tests often last only minutes, and portable monitors usually run a day or two. Many inherited heart rhythm problems are intermittent and can be missed during a brief test. Extended, comfortable monitoring gives clinicians a better chance to spot dangerous patterns before they cause fainting or sudden cardiac death.
How the AI smart T‑shirt works
Design and daily use
The shirt looks and feels like normal sportswear. Up to 50 small ECG-style sensors are woven into soft fabric so users can wear it under everyday clothes, sleep in it and wash it like ordinary garments. This removes the need for sticky electrodes and separate recorders and aims to make long-term heart monitoring practical and unobtrusive — source: Imperial College and Fox News.
Continuous recording and AI analysis
Rather than a short snapshot, the shirt records continuous electrical signals. An AI algorithm trained on over 1,000 ECGs learns to distinguish normal patterns from those linked to inherited rhythm disorders such as Brugada syndrome. The mix of data from people with and without conditions helps the system refine what raises concern — see Imperial overview.
Research team and funding
Who is leading the effort
Professor Zachary Whinnett of Imperial’s National Heart and Lung Institute leads the project. Researchers received funding of over £340,000 from the British Heart Foundation with support from the NIHR Imperial Biomedical Research Centre. Professor Whinnett says the aim is to find people with treatable inherited problems before they cause fatal events (Imperial College).
Expert views
British Heart Foundation reaction: Professor James Leiper of the BHF said the research “will leverage the power of AI to help clinicians unmask these hidden conditions and identify patients at risk of sudden death.” Source: BHF announcement.
Testing plan and timeline
What comes next
An initial feasibility study will recruit around 200 volunteers who will wear the shirt for up to three months at Hammersmith Hospital’s Peart-Rose Research Unit. The trial will assess how well the system detects abnormal rhythms outside hospital; promising results would lead to further trials and regulatory review. Investigators estimate the device could reach clinical practice in about five years, pending rigorous testing and approvals (Imperial overview).
What is not yet known
Public details remain limited. Exact sensor specifications, prototype images, full trial start dates and the full regulatory pathway have not been released. Initial testing focuses on adults; researchers say the system could later be adapted for children or broader problems such as atrial fibrillation if validated (Imperial College).
Safety, privacy and practical concerns
Clinical validation and regulation
Careful trials and regulatory review are essential. An AI that reads long stretches of cardiac data must be highly accurate: false negatives could miss dangerous disease, and false positives could cause unnecessary anxiety and testing. Rigorous validation is needed before clinical deployment (Imperial overview).
Data privacy and handling
Continuous heart signals are sensitive medical data. How signals are stored, transmitted and reviewed will matter for privacy and cybersecurity. The Imperial team has not yet published full details on data handling or third-party access; developers must follow strict rules on medical privacy and security (Imperial College).
Cost and access
New medical tech often faces price and access hurdles. To make a public health impact, wearables must be affordable or covered by insurers. The project is early-stage; cost, payer coverage and wide availability remain open questions (BHF).
The patient experience
Researchers emphasize comfort and convenience: the goal is monitoring that fits daily life rather than creating a medical burden. If patients can wear a shirt for weeks with minimal interruption, clinicians will gain richer data that could change diagnosis and treatment for inherited rhythm disorders (Imperial overview).
Broader research context
Other groups explore wearable ECG devices, but most home monitors still use adhesive electrodes and separate recorders. Imperial’s woven-sensor approach aims to improve comfort and extend monitoring time to catch intermittent problems short tests can miss (Imperial College).
Implications for United States of America
Clinical care and early detection
If validated, the AI smart T‑shirt could change how US clinicians screen patients with unexplained fainting, family histories of sudden cardiac death, or symptoms like dizziness and chest discomfort. Comfortable, extended monitoring may uncover inherited rhythm disorders that brief ECGs miss, enabling earlier treatment and potentially fewer sudden deaths (Imperial overview).
Health systems and payer decisions
US insurers and Medicare will require strong trial evidence and cost-effectiveness data before coverage. Developers must show diagnostic accuracy and that earlier detection improves outcomes and reduces costs to persuade payers (BHF).
Regulatory pathway in the US
A US rollout would require FDA review of device hardware, software and the AI algorithm for safety and effectiveness. The five-year clinical-practice estimate is plausible but US approvals and reimbursement processes could extend timelines (Imperial overview).
Veterans, rural communities and access
Wearable monitoring that reduces the need for clinic visits could benefit rural Americans and veterans with limited access to specialists by bringing diagnostic testing closer to home (Imperial overview).
Patient choice and privacy
Any US deployment should include clear informed consent, transparent data rules and options for patients to control their data. Insurers, employers and tech firms must not gain access to medical signals without explicit permission and legal safeguards (Imperial College).
Research and collaboration opportunities
US hospitals and research centers could join later-stage trials or run parallel studies to validate the technology across diverse populations. UK–US collaboration may speed adoption while keeping rigorous testing standards.
Reporting and sources
Primary sources for this report include Imperial College London and the British Heart Foundation announcements, plus media coverage. Key links:
- Imperial College London: AI-assisted smart T-shirt news release
- Imperial College overview: AI T-shirt could improve heart monitoring
- British Heart Foundation news release
- Related coverage: Fox News technology report
- MedicalXpress summary
On the record: Quotes from Professor Zachary Whinnett and BHF representatives are attributed to Imperial College and BHF announcements (Imperial, BHF).
