Suppr超能文献

无接触式传感器信号作为心血管疾病的新型数字生物标志物:机遇与挑战。

Contact-free sensor signals as a new digital biomarker for cardiovascular disease: chances and challenges.

作者信息

Saner Hugo, Knobel Samuel Elia Johannes, Schuetz Narayan, Nef Tobias

机构信息

ARTORG Center for Biomedical Engineering Research, University of Bern, Murtenstrasse 50, CH 3008 Bern, Switzerland.

Department of Preventive Cardiology, University Hospital Bern, Inselspital, Freiburgstrasse 18, CH 3010 Bern, Switzerland.

出版信息

Eur Heart J Digit Health. 2020 Nov 27;1(1):30-39. doi: 10.1093/ehjdh/ztaa006. eCollection 2020 Nov.

Abstract

Multiple sensor systems are used to monitor physiological parameters, activities of daily living and behaviour. Digital biomarkers can be extracted and used as indicators for health and disease. Signal acquisition is either by object sensors, wearable sensors, or contact-free sensors including cameras, pressure sensors, non-contact capacitively coupled electrocardiogram (cECG), radar, and passive infrared motion sensors. This review summarizes contemporary knowledge of the use of contact-free sensors for patients with cardiovascular disease and healthy subjects following the PRISMA declaration. Chances and challenges are discussed. Thirty-six publications were rated to be of medium (31) or high (5) relevance. Results are best for monitoring of heart rate and heart rate variability using cardiac vibration, facial camera, or cECG; for respiration using cardiac vibration, cECG, or camera; and for sleep using ballistocardiography. Early results from radar sensors to monitor vital signs are promising. Contact-free sensors are little invasive, well accepted and suitable for long-term monitoring in particular in patient's homes. A major problem are motion artefacts. Results from long-term use in larger patient cohorts are still lacking, but the technology is about to emerge the market and we can expect to see more clinical results in the near future.

摘要

多种传感器系统用于监测生理参数、日常生活活动和行为。数字生物标志物可以被提取出来并用作健康和疾病的指标。信号采集可以通过物体传感器、可穿戴传感器或非接触式传感器,包括摄像头、压力传感器、非接触电容耦合心电图(cECG)、雷达和被动红外运动传感器。本综述根据PRISMA声明总结了非接触式传感器用于心血管疾病患者和健康受试者的当代知识。讨论了机遇和挑战。三十六篇出版物被评为具有中等(31篇)或高(5篇)相关性。使用心脏振动、面部摄像头或cECG监测心率和心率变异性的结果最佳;使用心脏振动、cECG或摄像头监测呼吸的结果最佳;使用心冲击图监测睡眠的结果最佳。雷达传感器监测生命体征的早期结果很有前景。非接触式传感器侵入性小,易于接受,尤其适合在患者家中进行长期监测。一个主要问题是运动伪影。在更大规模患者队列中的长期使用结果仍然缺乏,但该技术即将进入市场,我们有望在不久的将来看到更多临床结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf5/9707864/82f8f80f40b6/ztaa006f3.jpg

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