Dear Colleagues,
Our daily lives are profoundly impacted by technological advances. A new trend encourages the use of commercially-available, smart wearable gadgets to manage health generally, and particularly cardio-vascular disease (CVD). The cardiology community must familiarize itself with the wearable technologies currently available on the market and their broad variety of therapeutic applications. This is especially important in the age of remote, decentralized, and increasingly individualized patient care brought on by pandemic situations. Cardiovascular disease (CVD) is a significant issue for global health. Long-term monitoring is frequently necessary when living with conditions such as CVD, and flexible and comfortable sensors are used for this purpose. Advances in materials, devices, integrated electronic systems, the Internet of Things (IoT), and edge computing have enabled real-time and convenient signal measurement and detection. These allow monitoring of a person's cardio activity and other fitness activities, as well as the diagnosis of health issues at an early stage. This Special Issue invites researchers to propose the engineering concepts that underlie popular wearable sensors for cardiovascular disease monitoring, as well as situations in which they may be prone to inaccuracy. Researchers can also report on how such devices may be used to perform remote screening and to diagnose disorders that affect the heart, such as arrhythmias, as well as for the treatment of people who already have issues like heart failure. The widespread use of smart wearable technology in clinical practice is nevertheless constrained by issues such as device accuracy, clinical validity, a lack of defined regulatory standards, and patient privacy.
Dr. Oana Geman, Dr. Alexandru Burlacu, Dr. Dhilip Kumar and Dr. Mony Gokuldhev
Guest Editors
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- Open Access ReviewAudiological Diagnosis of Valvular and Congenital Heart Diseases in the Era of Artificial IntelligenceAikeliyaer Ainiwaer, Kaisaierjiang Kadier, Lian Qin, Rena Rehemuding, ... Yi-Tong MaRev. Cardiovasc. Med. 2023, 24(6), 175; https://doi.org/10.31083/j.rcm2406175(This article belongs to the Special Issue Wearable Devices and Innovative Techniques for Cardiovascular System Monitoring and Management)122Downloads202Views
- Open Access Original ResearchA Machine Learning Framework for Diagnosing and Predicting the Severity of Coronary Artery DiseaseAikeliyaer Ainiwaer, Wen Qing Hou, Kaisaierjiang Kadier, Rena Rehemuding, ... Jian Guo DaiRev. Cardiovasc. Med. 2023, 24(6), 168; https://doi.org/10.31083/j.rcm2406168(This article belongs to the Special Issue Wearable Devices and Innovative Techniques for Cardiovascular System Monitoring and Management)62Downloads204Views