Department of Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.
Asghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL 33431, USA.
Biosensors (Basel). 2024 Oct 30;14(11):525. doi: 10.3390/bios14110525.
Cardiovascular diseases are a leading cause of death worldwide. They mainly include coronary artery disease, rheumatic heart disease, andcerebrovascular disease, and. Cardiovascular diseases can be better managed and diagnosed using wearable devices. Wearable devices, in comparison to traditional cardiovascular diagnostic tools, are not only inexpensive but also have the potential to provide continuous real-time monitoring. This paper reviews some of the recent advances in cardiovascular wearable devices. It discusses traditional implantable devices for cardiovascular diseases as well as wearable devices. The different types of wearable devices are categorized based on different technologies, namely using galvanic contact, photoplethysmography (PPG), and radio frequency (RF) waves. It also highlights the use of artificial intelligence (AI) in cardiovascular disease diagnostics as well as future perspectives on cardiovascular devices.
心血管疾病是全球范围内的主要死亡原因。它们主要包括冠状动脉疾病、风湿性心脏病和脑血管疾病。使用可穿戴设备可以更好地管理和诊断心血管疾病。与传统的心血管诊断工具相比，可穿戴设备不仅价格低廉，而且还有可能提供连续的实时监测。本文综述了一些心血管可穿戴设备的最新进展。它讨论了用于心血管疾病的传统植入式设备以及可穿戴设备。根据不同的技术，可穿戴设备分为不同的类型，即使用电流接触、光体积描记法 (PPG) 和射频 (RF) 波。它还强调了人工智能 (AI) 在心血管疾病诊断中的应用以及心血管设备的未来展望。
