• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

旋动心动描记术:定义、历史、波形描述及应用综述。

Gyrocardiography: A Review of the Definition, History, Waveform Description, and Applications.

机构信息

Department of Biosensors and Processing of Biomedical Signals, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.

出版信息

Sensors (Basel). 2020 Nov 22;20(22):6675. doi: 10.3390/s20226675.

DOI:10.3390/s20226675
PMID:33266401
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7700364/
Abstract

Gyrocardiography (GCG) is a non-invasive technique of analyzing cardiac vibrations by a MEMS (microelectromechanical system) gyroscope placed on a chest wall. Although its history is short in comparison with seismocardiography (SCG) and electrocardiography (ECG), GCG becomes a technique which may provide additional insight into the mechanical aspects of the cardiac cycle. In this review, we describe the summary of the history, definition, measurements, waveform description and applications of gyrocardiography. The review was conducted on about 55 works analyzed between November 2016 and September 2020. The aim of this literature review was to summarize the current state of knowledge in gyrocardiography, especially the definition, waveform description, the physiological and physical sources of the signal and its applications. Based on the analyzed works, we present the definition of GCG as a technique for registration and analysis of rotational component of local cardiac vibrations, waveform annotation, several applications of the gyrocardiography, including, heart rate estimation, heart rate variability analysis, hemodynamics analysis, and classification of various cardiac diseases.

摘要

旋心动图(GCG)是一种通过放置在胸壁上的微机电系统(MEMS)陀螺仪分析心脏振动的非侵入性技术。尽管与地震心动图(SCG)和心电图(ECG)相比,它的历史还很短,但 GCG 已成为一种可以提供对心脏周期机械方面的更多见解的技术。在这篇综述中,我们描述了旋心动图的历史、定义、测量、波形描述和应用的概述。该综述是在 2016 年 11 月至 2020 年 9 月之间分析的约 55 项工作的基础上进行的。本文献综述的目的是总结旋心动图的现有知识状态,特别是信号的定义、波形描述、生理和物理来源及其应用。根据分析的工作,我们将 GCG 的定义为一种用于注册和分析局部心脏振动的旋转分量、波形注释的技术,以及旋心动图的几个应用,包括心率估计、心率变异性分析、血液动力学分析和各种心脏疾病的分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/25d230c8397c/sensors-20-06675-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/81cc43df1ed0/sensors-20-06675-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/ce55a802ef4c/sensors-20-06675-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/8cba871a9f0b/sensors-20-06675-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/7795050d4991/sensors-20-06675-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/6e83688bb79a/sensors-20-06675-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/943f29013cf2/sensors-20-06675-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/68953d3c8162/sensors-20-06675-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/a16c892598bc/sensors-20-06675-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/4c29875e597e/sensors-20-06675-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/bd80b4876ac0/sensors-20-06675-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/25d230c8397c/sensors-20-06675-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/81cc43df1ed0/sensors-20-06675-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/ce55a802ef4c/sensors-20-06675-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/8cba871a9f0b/sensors-20-06675-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/7795050d4991/sensors-20-06675-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/6e83688bb79a/sensors-20-06675-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/943f29013cf2/sensors-20-06675-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/68953d3c8162/sensors-20-06675-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/a16c892598bc/sensors-20-06675-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/4c29875e597e/sensors-20-06675-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/bd80b4876ac0/sensors-20-06675-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/7700364/25d230c8397c/sensors-20-06675-g011.jpg

相似文献

1
Gyrocardiography: A Review of the Definition, History, Waveform Description, and Applications.旋动心动描记术:定义、历史、波形描述及应用综述。
Sensors (Basel). 2020 Nov 22;20(22):6675. doi: 10.3390/s20226675.
2
ECG-Free Heartbeat Detection in Seismocardiography and Gyrocardiography Signals Provides Acceptable Heart Rate Variability Indices in Healthy and Pathological Subjects.心冲击图和旋心动图信号中的无心电图心跳检测可在健康和病理受试者中提供可接受的心率变异性指数。
Sensors (Basel). 2023 Sep 27;23(19):8114. doi: 10.3390/s23198114.
3
Heartbeat Detection in Gyrocardiography Signals without Concurrent ECG Tracings.无同步心电图描记的旋心动图信号中的心跳检测。
Sensors (Basel). 2023 Jul 6;23(13):6200. doi: 10.3390/s23136200.
4
Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles.革新用于心率监测的智能手机陀螺心动描记术:克服临床验证障碍。
Front Cardiovasc Med. 2023 Aug 25;10:1237043. doi: 10.3389/fcvm.2023.1237043. eCollection 2023.
5
Real-Time Cardiac Beat Detection and Heart Rate Monitoring from Combined Seismocardiography and Gyrocardiography.基于地震心动描记术和回旋心动描记术的实时心搏检测和心率监测。
Sensors (Basel). 2019 Aug 8;19(16):3472. doi: 10.3390/s19163472.
6
Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms on Healthy Volunteers.健康志愿者的心电图、心震图和回旋心动图的心率变异性分析。
Sensors (Basel). 2020 Aug 13;20(16):4522. doi: 10.3390/s20164522.
7
Gyrocardiography: A New Non-invasive Monitoring Method for the Assessment of Cardiac Mechanics and the Estimation of Hemodynamic Variables.旋动心动描记术:一种用于评估心脏力学和估计血液动力学变量的新型非侵入性监测方法。
Sci Rep. 2017 Jul 28;7(1):6823. doi: 10.1038/s41598-017-07248-y.
8
Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms of Healthy Volunteers and Patients with Valvular Heart Diseases.健康志愿者和瓣膜性心脏病患者心电图、心冲击图和回旋心动图的心率变异性分析。
Sensors (Basel). 2023 Feb 14;23(4):2152. doi: 10.3390/s23042152.
9
Investigating the estimation of cardiac time intervals using gyrocardiography.探讨利用回旋心动描记术评估心脏时间间期。
Physiol Meas. 2020 Jun 10;41(5):055004. doi: 10.1088/1361-6579/ab87b2.
10
Analyzing Heart Rate Estimation from Vibrational Cardiography with Different Orientations.分析不同方向振动式心动描记法的心率估计
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2638-2641. doi: 10.1109/EMBC44109.2020.9175255.

引用本文的文献

1
A guide to consumer-grade wearables in cardiovascular clinical care and population health for non-experts.非专业人士的心血管临床护理和人群健康领域消费级可穿戴设备指南。
NPJ Cardiovasc Health. 2025;2(1):44. doi: 10.1038/s44325-025-00082-6. Epub 2025 Sep 2.
2
A Forcecardiography dataset with simultaneous SCG, Heart Sounds, ECG, and Respiratory signals.一个包含同步心冲击图、心音、心电图和呼吸信号的心力描记术数据集。
Sci Data. 2025 Aug 6;12(1):1370. doi: 10.1038/s41597-025-05694-2.
3
Starfish-inspired wearable bioelectronic systems for physiological signal monitoring during motion and real-time heart disease diagnosis.

本文引用的文献

1
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.
2
Relationship of the Respiration Waveform to a Chest Worn Inertial Sensor.呼吸波形与胸部佩戴的惯性传感器的关系。
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2732-2735. doi: 10.1109/EMBC44109.2020.9176245.
3
Analyzing Heart Rate Estimation from Vibrational Cardiography with Different Orientations.分析不同方向振动式心动描记法的心率估计
受海星启发的可穿戴生物电子系统,用于运动期间的生理信号监测和实时心脏病诊断。
Sci Adv. 2025 Apr 4;11(14):eadv2406. doi: 10.1126/sciadv.adv2406. Epub 2025 Apr 2.
4
A Flexible PVDF Sensor for Forcecardiography.一种用于心力图描记术的柔性聚偏二氟乙烯传感器。
Sensors (Basel). 2025 Mar 6;25(5):1608. doi: 10.3390/s25051608.
5
Fully automated template matching method for ECG-free heartbeat detection in cardiomechanical signals of healthy and pathological subjects.用于健康和病理受试者心脏机械信号中无心电图心跳检测的全自动模板匹配方法。
Phys Eng Sci Med. 2025 Mar 13. doi: 10.1007/s13246-025-01531-3.
6
Accuracy of the Instantaneous Breathing and Heart Rates Estimated by Smartphone Inertial Units.智能手机惯性测量单元估算瞬时呼吸率和心率的准确性。
Sensors (Basel). 2025 Feb 12;25(4):1094. doi: 10.3390/s25041094.
7
mmWave-RM: A Respiration Monitoring and Pattern Classification System Based on mmWave Radar.毫米波 RM:基于毫米波雷达的呼吸监测与模式分类系统。
Sensors (Basel). 2024 Jul 2;24(13):4315. doi: 10.3390/s24134315.
8
Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions.智能手机心震图:一种稳健的方法,可用于评估各种心血管疾病患者的心脏能量。
Sensors (Basel). 2024 Mar 27;24(7):2139. doi: 10.3390/s24072139.
9
Detection of heart rate using smartphone gyroscope data: a scoping review.利用智能手机陀螺仪数据检测心率:一项综述
Front Cardiovasc Med. 2023 Dec 18;10:1329290. doi: 10.3389/fcvm.2023.1329290. eCollection 2023.
10
ECG-Free Heartbeat Detection in Seismocardiography and Gyrocardiography Signals Provides Acceptable Heart Rate Variability Indices in Healthy and Pathological Subjects.心冲击图和旋心动图信号中的无心电图心跳检测可在健康和病理受试者中提供可接受的心率变异性指数。
Sensors (Basel). 2023 Sep 27;23(19):8114. doi: 10.3390/s23198114.
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2638-2641. doi: 10.1109/EMBC44109.2020.9175255.
4
Time Domain And Frequency Domain Heart Rate Variability Analysis on Gyrocardiograms.基于心电向量图的时域和频域心率变异性分析
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2630-2633. doi: 10.1109/EMBC44109.2020.9176052.
5
Neural Network-based Classification of Static Lung Volume States using Vibrational Cardiography.基于神经网络的静态肺容积状态的振动心动描记法分类
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:221-224. doi: 10.1109/EMBC44109.2020.9176119.
6
Identification of the Vibrations Corresponding with Heart Sounds using Vibrational Cardiography.使用振动心动描记术识别与心音对应的振动
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:17-20. doi: 10.1109/EMBC44109.2020.9175323.
7
Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms on Healthy Volunteers.健康志愿者的心电图、心震图和回旋心动图的心率变异性分析。
Sensors (Basel). 2020 Aug 13;20(16):4522. doi: 10.3390/s20164522.
8
Effect of Static Respiratory Volume on the Waveform of Cardiac-induced Sternal Vibrations.静态呼吸量对心脏引起的胸骨振动波形的影响。
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:4917-4921. doi: 10.1109/EMBC.2019.8857505.
9
A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating.基于 MEMS 的心脏和呼吸门控数据融合的计算框架。
Sensors (Basel). 2019 Sep 24;19(19):0. doi: 10.3390/s19194137.
10
Classification of Aortic Stenosis Using Time-Frequency Features From Chest Cardio-Mechanical Signals.基于胸部心机械信号的时频特征对主动脉瓣狭窄的分类。
IEEE Trans Biomed Eng. 2020 Jun;67(6):1672-1683. doi: 10.1109/TBME.2019.2942741. Epub 2019 Sep 20.