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DTECTIO is a French medtech/AI tool focused on arrhythmia monitoring. It uses PPG signals collected by optical sensors and applies algorithms to generate an electrocardiographic representation with standard ECG-like characteristics. The goal is to help physicians detect intermittent arrhythmias that are difficult to capture during short examinations.
Its core value lies in converting PPG signals—which are better suited to long-term, non-invasive wearable data collection—into a representation that more closely matches how clinicians read ECGs. The website states that its training and evaluation used 5 million+ PPG-ECG segments, with a correlation of up to 0.90+ against standard ECG, and that it has been blindly evaluated by 11 cardiologists. It also mentions scientific recognition from ESC 2025 and JESFC 2026, as well as patent protection. These figures suggest that the project has a certain technical and research foundation. However, correlation metrics are not the same as full diagnostic performance, and the page does not disclose key clinical indicators such as sensitivity, specificity, false positives/false negatives, performance in noisy environments, or applicable patient populations.
DTECTIO is especially suited for extended monitoring of intermittent arrhythmias, such as events that occur at night, during exercise, or outside clinical visits, where standard outpatient ECGs or short-term recordings may fail to capture them. Potential users include cardiology departments, arrhythmia centers, clinical research teams, and medical technology partners looking to connect PPG-based wearable data collection with clinical ECG interpretation.
The website does not disclose pricing, trials, commercial procurement options, payment methods, or regulatory certification status. It also does not explain whether API, SDK, hospital system integration, device compatibility, or deployment options are available. Data privacy and medical compliance are likewise insufficiently documented, including how patient data is stored, transmitted, secured, and authorized.
The strengths are a clearly defined clinical problem, non-invasive data collection, an output format aligned with physicians’ reading habits, and some backing from expert review and data validation. The limitations are the lack of productization details, and the need for more regulatory information, real-world validation, and integration documentation before large-scale clinical deployment. Access from China is unknown. Any real-world adoption would also need to consider cross-border medical data compliance, payment and procurement, device certification, and local alternatives such as Holter monitors, ECG patches, and domestic wearable heart-rhythm monitoring products.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on dtectio.com official site.
dtectio.com is an France AI Apps provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Limited (proxy recommended). Click "Visit Official Site" to reach dtectio.com directly.