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入耳式音频可穿戴设备:用于健康和安全监测的心率和呼吸率测量。

In-Ear Audio Wearable: Measurement of Heart and Breathing Rates for Health and Safety Monitoring.

出版信息

IEEE Trans Biomed Eng. 2018 Jun;65(6):1256-1263. doi: 10.1109/TBME.2017.2720463. Epub 2017 Jun 27.

DOI:10.1109/TBME.2017.2720463
PMID:28678697
Abstract

OBJECTIVE

This paper examines the integration of a noninvasive vital sign monitoring feature into the workers' hearing protection devices (HPDs) by using a microphone positioned within the earcanal under the HPD.

METHODS

25 test-subjects were asked to breathe at various rhythms and intensities and these realistic sound events were recorded in the earcanal. Digital signal processing algorithms were then developed to assess heart and breathing rates. Finally, to test the robustness of theses algorithms in noisy work environments, industrial noise was added to the in-ear recorded signals and an adaptive denoising filter was used.

RESULTS

The developed algorithms show an absolute mean error of 4.3 beats per minute (BPM) and 2.7 cycles per minute (CPM). The mean difference estimate is -0.44 BPM with a limit of agreement (LoA) interval of -14.3 to 13.4 BPM and 2.40 CPM with a LoA interval of -2.62 to 7.48 CPM. Excellent denoising is achieved with the adaptive filter, able to cope with ambient sound pressure levels of up to 110 dB SPL, resulting in a small error for heart rate detection, but a much larger error for breathing rate detection.

CONCLUSION

Extraction of the heart and breathing rates from an acoustical measurement in the occluded earcanal under an HPD is possible and can even be conducted in the presence of a high level of ambient noise.

SIGNIFICANCE

This proof of concept enables the development of a wide range of noninvasive health and safety monitoring audio wearables for industrial workplaces and life-critical applications where HPDs are used.

摘要

目的

本文研究了通过在 HPD 下的耳道内放置麦克风,将非侵入式生命体征监测功能集成到工人的听力保护设备(HPD)中。

方法

要求 25 名测试对象以各种节奏和强度呼吸,这些真实声音事件被记录在耳道内。然后开发了数字信号处理算法来评估心率和呼吸率。最后,为了测试这些算法在嘈杂的工作环境中的稳健性,在入耳记录的信号中添加了工业噪声,并使用自适应降噪滤波器。

结果

开发的算法显示出绝对平均误差为 4.3 次/分钟(BPM)和 2.7 次/分钟(CPM)。平均差异估计值为-0.44 BPM,一致性区间(LoA)为-14.3 至 13.4 BPM,2.40 CPM 的 LoA 区间为-2.62 至 7.48 CPM。自适应滤波器可实现出色的降噪效果,能够应对高达 110 dB SPL 的环境声压水平,从而导致心率检测的误差较小,但呼吸率检测的误差较大。

结论

从 HPD 下封闭耳道中的声学测量中提取心率和呼吸率是可行的,即使在存在高水平环境噪声的情况下也可以进行。

意义

这一概念验证为开发各种非侵入性健康和安全监测音频可穿戴设备奠定了基础,这些设备可用于工业工作场所和生命关键应用,其中使用了 HPD。

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