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MSCardio心震图数据集:通过智能手机对心血管引起的胸部振动进行远程监测的初步见解。

MSCardio seismocardiography dataset: Initial insights from remote monitoring of cardiovascular-induced chest vibrations via smartphones.

作者信息

Taebi Amirtahà, Rahman Mohammad Muntasir

机构信息

Department of Bioengineering, Lehigh University, 7 Asa Drive, Suite 205, Bethlehem, PA 18015, USA.

Biomedical Engineering Program, Mississippi State University, 130 Creelman Street, Mississippi State, MS 39762, USA.

出版信息

Data Brief. 2025 Jul 17;61:111889. doi: 10.1016/j.dib.2025.111889. eCollection 2025 Aug.

DOI:10.1016/j.dib.2025.111889
PMID:40792294
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12336662/
Abstract

The Mississippi State Remote Cardiovascular Monitoring (MSCardio) Study leverages smartphones to remotely collect seismocardiography (SCG) and gyrocardiography data from participants. The study employs an app that uses embedded sensors to record multi-dimensional vibrations, along with self-reported lifestyle and health data. Metadata is also captured to provide contextual information for analysis. This paper outlines the progress made during the first 250 days of the study, including the methodology, data collection process, and preliminary findings. Additionally, the SCG dataset collected during this period is publicly shared to support further research. These results highlight the potential of smartphone-based systems for scalable and accessible cardiovascular health monitoring.

摘要

密西西比州远程心血管监测(MSCardio)研究利用智能手机从参与者那里远程收集心震图(SCG)和心陀螺图数据。该研究采用了一款应用程序,该程序使用嵌入式传感器来记录多维振动,以及自我报告的生活方式和健康数据。还会捕获元数据以提供用于分析的上下文信息。本文概述了该研究前250天所取得的进展,包括方法、数据收集过程和初步研究结果。此外,在此期间收集的SCG数据集已公开发布,以支持进一步的研究。这些结果凸显了基于智能手机的系统在进行可扩展且可及的心血管健康监测方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/778f/12336662/c16b4ea021ad/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/778f/12336662/76601777c332/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/778f/12336662/1a86fb45aabb/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/778f/12336662/6ff6e3d5eac5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/778f/12336662/ae4f25b9a192/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/778f/12336662/c16b4ea021ad/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/778f/12336662/76601777c332/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/778f/12336662/1a86fb45aabb/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/778f/12336662/6ff6e3d5eac5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/778f/12336662/ae4f25b9a192/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/778f/12336662/c16b4ea021ad/gr5.jpg

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本文引用的文献

1
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.
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Non-contact heart vibration measurement using computer vision-based seismocardiography.基于计算机视觉的触诊心震图的非接触式心脏振动测量。
Sci Rep. 2023 Jul 21;13(1):11787. doi: 10.1038/s41598-023-38607-7.
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Body Acoustics for the Non-Invasive Diagnosis of Medical Conditions.用于医学状况无创诊断的人体声学
Bioengineering (Basel). 2022 Apr 1;9(4):149. doi: 10.3390/bioengineering9040149.
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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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Multichannel seismocardiography: an imaging modality for investigating heart vibrations.多通道心震图:一种用于研究心脏振动的成像方式。
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