Centracchio Jessica, Andreozzi Emilio, Esposito Daniele, Gargiulo Gaetano Dario, Bifulco Paolo
Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio, 21 80125 Napoli, Italy.
School of Engineering, Design and Built Environment, Western Sydney University, Penrith 2751, Australia.
Bioengineering (Basel). 2022 Feb 22;9(3):89. doi: 10.3390/bioengineering9030089.
Forcecardiography (FCG) is a novel technique that measures the local forces induced on the chest wall by the mechanical activity of the heart. Specific piezoresistive or piezoelectric force sensors are placed on subjects’ thorax to measure these very small forces. The FCG signal can be divided into three components: low-frequency FCG, high-frequency FCG (HF-FCG) and heart sound FCG. HF-FCG has been shown to share a high similarity with the Seismocardiogram (SCG), which is commonly acquired via small accelerometers and is mainly used to locate specific fiducial markers corresponding to essential events of the cardiac cycle (e.g., heart valves opening and closure, peaks of blood flow). However, HF-FCG has not yet been demonstrated to provide the timings of these markers with reasonable accuracy. This study addresses the detection of the aortic valve opening (AO) marker in FCG signals. To this aim, simultaneous recordings from FCG and SCG sensors were acquired, together with Electrocardiogram (ECG) recordings, from a few healthy subjects at rest, both during quiet breathing and apnea. The AO markers were located in both SCG and FCG signals to obtain pre-ejection periods (PEP) estimates, which were compared via statistical analyses. The PEPs estimated from FCG and SCG showed a strong linear relationship (r > 0.95) with a practically unit slope, and 95% of their differences were found to be distributed within ± 4.6 ms around small biases of approximately 1 ms, corresponding to percentage differences lower than 5% of the mean measured PEP. These preliminary results suggest that FCG can provide accurate AO timings and PEP estimates.
心力图(FCG)是一种新技术,可测量心脏机械活动在胸壁上产生的局部力。特定的压阻式或压电式力传感器放置在受试者的胸部,以测量这些非常小的力。FCG信号可分为三个分量:低频FCG、高频FCG(HF-FCG)和心音FCG。已证明HF-FCG与心震图(SCG)具有高度相似性,SCG通常通过小型加速度计获取,主要用于定位与心动周期基本事件(如心脏瓣膜开闭、血流峰值)相对应的特定基准标记。然而,尚未证明HF-FCG能以合理的精度提供这些标记的时间。本研究探讨了FCG信号中主动脉瓣开放(AO)标记的检测。为此,从少数静息状态下的健康受试者在安静呼吸和呼吸暂停期间同时采集FCG和SCG传感器的记录以及心电图(ECG)记录。在SCG和FCG信号中定位AO标记,以获得射血前期(PEP)估计值,并通过统计分析进行比较。从FCG和SCG估计的PEP显示出很强的线性关系(r>0.95),斜率几乎为1,并且发现它们95%的差异分布在约1ms的小偏差周围±4.6ms范围内,对应于低于平均测量PEP的5%的百分比差异。这些初步结果表明,FCG可以提供准确的AO时间和PEP估计值。