Feasibility assessment of an optical sensor for long-term electrocardiogram monitoring

Cardiovascular disease is a major risk to human health, which needs long-term monitoring for prevention and early diagnosis. Optical sensors present the advantage of immunity to electromagnetic field and high sensitivity, and have been growing in a variety of emerging medical applications to monitor human cardiac parameters. Most of the current optical sensors can only measure limited cardiovascular information such as the heart rate, therefore, the optics-based approach for cardiac electrophysiology has attracted the attention of more researchers. In this paper, we developed a method to evaluate the availability of our proposed anti-EMI optical sensor. The sensitivity of optical sensor based on electro-optic modulation can achieve 266.4μW/V and detect the electrocardiogram (ECG) by attached to the chest and edge of clavicle. A series of ECG signals over 1 hour were analyzed using proposed method, which is driven by the optimization of R-peak location, Lorenz plot and statistical correlation. ECG monitoring results of the optical sensors are in accordance with a standard clinical device (SOMNOtouch™ RESP) among different subjects. Moreover, both the sensors are tested in daily electromagnetic conditions, and it causes some obvious signal artifacts to the SOMNO system, but almost no effect on the optical sensors during the long-term test. We provide further grounds for such clinical applications by demonstrating, for the first time to our knowledge, optics-based device used in long-term ECG monitoring, an essential tool in modern cardiac monitoring applications.

[1]  G.B. Moody,et al.  The impact of the MIT-BIH Arrhythmia Database , 2001, IEEE Engineering in Medicine and Biology Magazine.

[2]  Jeffrey M. Hausdorff,et al.  Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .

[3]  Xiao-Rong Ding,et al.  Multi-wavelength photoplethysmography method for skin arterial pulse extraction. , 2016, Biomedical optics express.

[4]  José Higino Correia,et al.  Electro-optic acquisition system for ECG wearable sensor applications , 2013 .

[5]  Yan-qing Lu,et al.  Self‐Assembled Wavy Optical Microfiber for Stretchable Wearable Sensor , 2021, Advanced Optical Materials.

[6]  F. Baida,et al.  Guided resonances on lithium niobate for extremely small electric field detection investigated by accurate sensitivity analysis. , 2016, Optics express.

[7]  M. Habibović,et al.  Usefulness of a Lifestyle Intervention in Patients With Cardiovascular Disease. , 2019, The American journal of cardiology.

[8]  Deming Liu,et al.  Diaphragm‐based optical fiber sensor for pulse wave monitoring and cardiovascular diseases diagnosis , 2019, Journal of biophotonics.

[9]  刘铁根 Liu Tiegen,et al.  Anti-electromagnetic interference electrocardiogram monitoring system , 2018 .

[10]  Reinhold Orglmeister,et al.  Wearable Cardiorespiratory Monitoring Employing a Multimodal Digital Patch Stethoscope: Estimation of ECG, PEP, LVET and Respiration Using a 55 mm Single-Lead ECG and Phonocardiogram , 2020, Sensors.

[11]  Panayiotis A Kyriacou,et al.  Photoplethysmography for the Assessment of Haemorheology , 2017, Scientific Reports.

[12]  Usman A. Javid,et al.  Lithium niobate photonic-crystal electro-optic modulator , 2020, Nature Communications.

[13]  Jun Liu,et al.  Extraction and Quantification Clusters of Three-Dimensional Lorenz Plots , 2017, MedInfo.

[14]  Kaixin Chen,et al.  Thin-film lithium niobate electro-optic modulator on a D-shaped fiber. , 2020, Optics express.

[15]  Liwei Lin,et al.  Self-powered pulse sensors with high sensitivity to reveal sinus arrhythmia , 2018, 2018 IEEE Micro Electro Mechanical Systems (MEMS).