Li Haicheng, Wang Zhouheng, Cao Yu, Ma Yinji, Feng Xue
AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China.
Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China.
Biomed Opt Express. 2020 Nov 5;11(12):6920-6932. doi: 10.1364/BOE.403033. eCollection 2020 Dec 1.
Measurements based on optics offer a wide range of unprecedented opportunities in the biological application due to the noninvasive or non-destructive detection. Wearable skin-like optoelectronic devices, capable of deforming with the human skin, play significant roles in future biomedical engineering such as clinical diagnostics or daily healthcare. However, the detected signals based on light intensity are very sensitive to the light path. The performance degradation of the wearable devices occurs due to device deformation or motion artifact. In this work, we propose the optical difference in the frequency domain of signals for suppressing the disturbance generated by wearable device deformation or motion artifact during the photoplethysmogram (PPG) monitoring. The signal processing is simulated with different input waveforms for analyzing the performance of this method. Then we design and fabricate a wearable optoelectronic device to monitor the PPG signal in the condition of motion artifact and use the optical difference in the frequency domain of signals to suppress irregular disturbance. The proposed method reduced the average error in heart rate estimation from 13.04 beats per minute (bpm) to 3.41 bpm in motion and deformation situations. These consequences open up a new prospect for improving the performance of the wearable optoelectronic devices and precise medical monitoring in the future.
基于光学的测量方法由于具有非侵入性或非破坏性检测的特点，在生物应用中提供了广泛的前所未有的机会。可穿戴的类皮肤光电器件能够随着人体皮肤变形，在未来生物医学工程如临床诊断或日常医疗保健中发挥重要作用。然而，基于光强检测的信号对光路非常敏感。可穿戴设备的性能会因设备变形或运动伪影而下降。在这项工作中，我们提出了信号频域中的光学差异，以抑制在光电容积脉搏波描记图（PPG）监测期间可穿戴设备变形或运动伪影产生的干扰。使用不同的输入波形对信号处理进行模拟，以分析该方法的性能。然后，我们设计并制造了一种可穿戴光电器件，用于在存在运动伪影的情况下监测PPG信号，并利用信号频域中的光学差异来抑制不规则干扰。在运动和变形情况下，所提出的方法将心率估计的平均误差从每分钟13.04次心跳（bpm）降低到了3.41 bpm。这些结果为未来提高可穿戴光电器件的性能和精确医疗监测开辟了新的前景。
