Advancing Sports Cardiology: Integrating Artificial Intelligence with Wearable Devices for Cardiovascular Health Management.

Journal: ACS applied materials & interfaces
PMID:

Abstract

Sports cardiology focuses on athletes' cardiovascular health, yet sudden cardiac death remains a significant concern despite preventative measures. Prolonged physical activity leads to notable cardiovascular adaptations, known as the athlete's heart, which can resemble certain pathological conditions, complicating accurate diagnoses and potentially leading to serious consequences such as unnecessary exclusion from sports or missed treatment opportunities. Wearable devices, including smartwatches and smart glasses, have become prevalent for monitoring health metrics, offering potential clinical applications for sports cardiologists. These gadgets are capable of spotting exercise-induced arrhythmias, uncovering hidden heart problems, and offering crucial information for training and recovery, to minimize exercise-related cardiac incidents and enhance heart health care. However, concerns about data accuracy and the actionable value of the obtained information persist. A major challenge lies in the integration of artificial intelligence with wearables, research gaps remain regarding their ability to provide real-time, reliable, and clinically relevant insights. Combining artificial intelligence with wearable devices can improve how data is managed and used in sports cardiology. Artificial intelligence, particularly machine learning, can classify, predict, and draw inferences from the data collected by wearables, revolutionizing patient data usage. Despite artificial intelligence's proven effectiveness in managing chronic conditions, the limited research on its application in sports cardiology, particularly regarding wearables, creates a critical gap that needs to be addressed. This review examines commercially available wearables and their applications in sports cardiology, exploring how artificial intelligence can be integrated into wearable technology to advance the field.

Authors

  • Xiao Zheng
    School of Computer, National University of Defense Technology, Deya Road, Changsha 410073, China.
  • Zheng Liu
    ICSC World Laboratory, Geneva, Switzerland.
  • Jianyu Liu
    Department of Orthopedics, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001 Heilongjiang, China.
  • Caifeng Hu
    College of Physical Education and Health, Chongqing Three Gorges University, Chongqing 404020, P. R. China.
  • Yanxin Du
    College of Physical Education and Health, Chongqing Three Gorges University, Chongqing 404020, P. R. China.
  • Juncheng Li
  • Zhongjin Pan
    College of Physical Education and Health, Chongqing Three Gorges University, Chongqing 404020, P. R. China.
  • Ke Ding
    Intel Corporation, United States of America.