ECG patches and cable holter monitors are two main types of devices for long-term ECG monitoring. Patches, with their convenience and waterproof design, are dominating the market and experiencing rapid growth in usage. However, cable holters still offer specific features making them preferable for certain clinical scenarios. Find out more and discover key insights from our unique dataset comprising several hundreds of thousands of ECG recordings from a range of devices.
Introducing Cardiomatics v5: the world’s first AI-based ECG interpretation software certified under the Medical Device Regulation (MDR). With new features like AV block detection, fast-track analysis, and a revamped layout, Cardiomatics v5 empowers medical professionals with accurate and efficient ECG analysis. Join over 1,000 users and 200 clinics in experiencing streamlined workflow options and insightful reports. Request a free trial today to explore the potential of AI in ECG interpretation and enhance patient care.
Discover Cardiomatics’ latest feature: the ECG signal viewer. Now, access raw ECG signals directly within the Cardiomatics web panel, simplifying workflow for cardiologists. Responding to market demand, this enhancement offers efficiency and cost-effectiveness for medical professionals. Try it out with a free trial today.
Cameras and ECG machines share a similar trajectory of evolution from bulky, complex devices to compact, accessible tools. Just as mobile phones revolutionized photography, handheld ECG devices are becoming more ubiquitous, offering convenience and quality previously unavailable. AI and cloud technologies are poised to streamline data processing and analysis in both fields, bridging the gap between increasing data volume and limited expertise in healthcare.
Cardiomatics and the Medical University of Warsaw are collaborating to develop Cardiomatics Junior, an innovative tool for automatic assessment of ECG signals in children. By utilizing AI-based algorithms, this project aims to revolutionize paediatric cardiology diagnostics, potentially reducing analysis time to 5 minutes and improving accessibility to Holter monitor testing for young patients. Supported by the National Centre for Research and Development, this groundbreaking initiative will benefit physicians, Holter monitor manufacturers, and clinical trial implementers, ultimately enhancing diagnosis and treatment of paediatric heart conditions.
Cardiomatics navigates the challenge of evaluating its AI algorithm’s performance against physicians or competitors by encouraging customers to implement and compare results with existing processes. Traditional methods rely on outdated databases and concerns about protecting intellectual property, highlighting the complexity of assessing AI efficacy. Overall, the effectiveness of AI algorithms depends on various factors and contexts, making direct comparisons challenging.