Elgendi Mohamed, Wu Wenshan, Guan Cuntai, Menon Carlo
Biomedical and Mobile Health Technology Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Front Cardiovasc Med. 2023 Aug 25;10:1237043. doi: 10.3389/fcvm.2023.1237043. eCollection 2023.
Accurate heart rate (HR) measurement is crucial for optimal cardiac health, and while conventional methods such as electrocardiography and photoplethysmography are widely used for continuous daily monitoring, they may face practical limitations due to their dependence on external sensors and susceptibility to motion artifacts. In recent years, mechanocardiography (MCG)-based technologies, such as gyrocardiography (GCG) and seismocardiography (SCG), have emerged as promising alternatives to address these limitations. GCG has shown enhanced sensitivity and accuracy for HR detection compared to SCG, although its benefits are often overlooked in the context of the widespread use of accelerometers in HR monitoring applications. In this perspective, we aim to explore the potential and challenges of GCG, while recognizing that other technologies, including photoplethysmography and remote photoplethysmography, also have promising applications for HR monitoring. We propose a roadmap for future research to unlock the transformative capabilities of GCG for everyday heart rate monitoring.
准确测量心率（HR）对于维持最佳心脏健康至关重要。虽然诸如心电图和光电容积脉搏波描记术等传统方法被广泛用于日常连续监测，但由于它们依赖外部传感器且易受运动伪影影响，可能会面临实际限制。近年来，基于机械心动图（MCG）的技术，如陀螺心动图（GCG）和地震心动图（SCG），已成为解决这些限制的有前途的替代方法。与SCG相比，GCG在心率检测方面显示出更高的灵敏度和准确性，尽管在心率监测应用中加速度计广泛使用的背景下，其优势常常被忽视。从这个角度来看，我们旨在探索GCG的潜力和挑战，同时认识到包括光电容积脉搏波描记术和远程光电容积脉搏波描记术在内的其他技术在心率监测方面也有很有前景的应用。我们提出了一个未来研究路线图，以释放GCG在日常心率监测方面的变革能力。
