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呼吸与运动对心震图信号的影响。

Effect of respiration and exercise on seismocardiographic signals.

作者信息

Dhar Rajkumar, Darwish Seena E, Darwish Sara A, Sandler Richard H, Mansy Hansen A

机构信息

Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, 44195, Cleveland, OH, USA.

Burnett School of Biomedical Sciences, University of Central Florida, 32816, Orlando, FL, USA.

出版信息

Comput Biol Med. 2025 Feb;185:109600. doi: 10.1016/j.compbiomed.2024.109600. Epub 2024 Dec 21.

Abstract

BACKGROUND

Seismocardiographic signals (SCG) are chest wall vibrations induced by mechanical cardiac activities. This study investigated the morphological changes in the SCG signal due to respiration and exercise.

METHODS

Fifteen healthy subjects were recruited, and SCG was acquired before and after exercise. The changes in the SCG signal were quantified using time and amplitude features.

RESULTS

The amplitudes of the two main SCG events (SCG1 and SCG2) tended to increase after exercise. The absolute cardiac intervals (pre-ejection period (PEP), left ventricular ejection time (LVET), and diastolic time) decreased; the diastolic time relative to cardiac cycle duration (i.e., the R-R interval) also decreased, while the relative PEP and LVET increased for the majority of the subjects. Amplitude modulations were observed in both SCG1 and SCG2 and increased with exercise. Additionally, respiratory influences on the SCG features were observed in both the pre- and post-exercise states. SCG2 amplitude was higher during inspiration (p < 0.01), but SCG1 amplitude didn't exhibit consistent changes with respiration in the study subjects (p > 0.05). For cardiac intervals, PEP decreased during inspiration, while LVET and diastolic time increased (p < 0.01). All the cardiac intervals (both absolute and as a percentage of cardiac cycle duration) showed reduced respiratory variability post-exercise.

CONCLUSIONS

These results document SCG signal variabilities that were not reported before and provide a link between cardiac activity, respiration, and exercise, which may help increase the clinical utility of SCG in the diagnosis and management of cardiopulmonary conditions. More studies are required to validate the study findings in more normal subjects and in those with cardiopulmonary pathology.

摘要

背景

地震心图信号(SCG)是由心脏机械活动引起的胸壁振动。本研究调查了呼吸和运动引起的SCG信号形态变化。

方法

招募了15名健康受试者,在运动前后采集SCG信号。使用时间和幅度特征对SCG信号的变化进行量化。

结果

运动后,两个主要SCG事件(SCG1和SCG2)的幅度趋于增加。绝对心动周期(射血前期(PEP)、左心室射血时间(LVET)和舒张期)缩短;相对于心动周期持续时间(即R-R间期)的舒张期也缩短,而大多数受试者的相对PEP和LVET增加。在SCG1和SCG2中均观察到幅度调制,且随运动增加。此外,在运动前和运动后状态下均观察到呼吸对SCG特征的影响。吸气时SCG2幅度较高(p < 0.01),但在研究对象中SCG1幅度未表现出与呼吸一致的变化(p > 0.05)。对于心动周期,吸气时PEP缩短,而LVET和舒张期延长(p < 0.01)。运动后,所有心动周期(绝对和占心动周期持续时间的百分比)的呼吸变异性均降低。

结论

这些结果记录了以前未报道的SCG信号变异性,并提供了心脏活动、呼吸和运动之间的联系,这可能有助于提高SCG在心肺疾病诊断和管理中的临床应用价值。需要更多研究在更多正常受试者和心肺疾病患者中验证本研究结果。

相似文献

1
Effect of respiration and exercise on seismocardiographic signals.呼吸与运动对心震图信号的影响。
Comput Biol Med. 2025 Feb;185:109600. doi: 10.1016/j.compbiomed.2024.109600. Epub 2024 Dec 21.

本文引用的文献

3
Respiratory-Induced Amplitude Modulation of Forcecardiography Signals.呼吸诱导的心动力图信号幅度调制
Bioengineering (Basel). 2022 Sep 7;9(9):444. doi: 10.3390/bioengineering9090444.
5
Recent Advances in Seismocardiography.地震心图学的最新进展
Vibration. 2019 Mar;2(1):64-86. doi: 10.3390/vibration2010005. Epub 2019 Jan 14.

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