Remote ECG-guided Cardiac Rehabilitation: An Outpatient Model Using the Accordix Platform
Year: 2026
Type: article
Abstract: Telemedicine-based cardiac rehabilitation (CR) offers a viable and accessible alternative to traditional center-based programs, leveraging remote monitoring and individualized exercise prescriptions to improve cardiovascular health in patients post-acute myocardial infarction. This overview examines the implementation of the "Accordix" system, a telemedicine platform utilized for outpatient CR. The "Accordix" system facilitates real-time ECG monitoring and communication between patients and a multidisciplinary rehabilitation team. Patients undergo an initial in-person assessment to determine individual exercise parameters, followed by home-based exercise sessions supported by the system's feedback mechanisms (e.g., heart rate alerts and Borg scale integration). The platform allows physicians to remotely monitor patient progress, adjust treatment plans, and address potential adverse events, thus enabling a hybrid CR approach that combines the benefits of in-person and remote care. Future directions include integrating video consultations to enhance guidance on exercise technique and expanding accessibility to underserved populations. The focus is on improving patient training protocols to ensure proper device use, self-monitoring skills, and adherence to exercise guidelines. Telemedicine- based CR, exemplified by the "Accordix" system, holds significant promise for improving access to cardiac rehabilitation, optimizing treatment outcomes, empowering patients through self-management, and promoting long-term adherence to lifestyle changes. Further research and implementation efforts are warranted to fully realize the potential of this approach in reducing the burden of cardiovascular disease.
Source: Current Cardiology Reviews
Institutions: St Petersburg University, Ivanovo State Medical Academy
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7125507908
