A flexible multi-sensor device enabling handheld sensing of heart sounds by untrained users.

IF 6.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Andrew McDonald, Maximilian Nussbaumer, Nirmani Rathnayake, Richard Steeds, Anurag Agarwal
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引用次数: 0

Abstract

Heart valve disease has a large and growing burden, with a prognosis worse than many cancers. Screening with a traditional stethoscope is underutilised, often inaccurate even in skilled hands, and requires time-consuming, intimate examinations. Here, we present a handheld device to enable untrained users to record high-quality heart sounds without requiring patients to undress. The device incorporates multiple high-sensitivity sensors embedded in a flexible substrate, placed at key chest locations by the user. To address challenges from localised heart sound vibrations and noise interference, we developed time-frequency signal quality algorithms that automatically select the best sensor in the device and reject recordings with insufficient diagnostic quality. A validation study demonstrates the device's effectiveness across a diverse range of body types, with multiple sensors significantly increasing the likelihood of a successful recording. The device has the potential to enable accurate, accessible, low-cost heart disease screening.

一种灵活的多传感器设备,使未经训练的用户能够手持感应心音。
心脏瓣膜疾病的负担越来越重,其预后比许多癌症都差。传统听诊器的筛查未得到充分利用,即使是熟练的人也常常不准确,并且需要耗时的密切检查。在这里,我们提出了一个手持设备,使未经训练的用户能够记录高质量的心音,而不需要病人脱衣服。该设备将多个高灵敏度传感器嵌入柔性基板中,由用户放置在胸部的关键位置。为了解决来自局部心音振动和噪声干扰的挑战,我们开发了时频信号质量算法,可以自动选择设备中最好的传感器,并拒绝诊断质量不足的记录。一项验证研究证明了该设备在不同体型范围内的有效性,多个传感器显着增加了成功记录的可能性。该设备有望实现准确、便捷、低成本的心脏病筛查。
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来源期刊
IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
13.60
自引率
6.50%
发文量
1151
期刊介绍: IEEE Journal of Biomedical and Health Informatics publishes original papers presenting recent advances where information and communication technologies intersect with health, healthcare, life sciences, and biomedicine. Topics include acquisition, transmission, storage, retrieval, management, and analysis of biomedical and health information. The journal covers applications of information technologies in healthcare, patient monitoring, preventive care, early disease diagnosis, therapy discovery, and personalized treatment protocols. It explores electronic medical and health records, clinical information systems, decision support systems, medical and biological imaging informatics, wearable systems, body area/sensor networks, and more. Integration-related topics like interoperability, evidence-based medicine, and secure patient data are also addressed.
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