Study of Artifact-Resistive Technology Based on a Novel Dual Photoplethysmography Method for Wearable Pulse Rate Monitors
详细信息    查看全文
  • 作者:Congcong Zhou ; Jingjie Feng ; Jun Hu ; Xuesong Ye
  • 关键词:Pulse rates ; Photoplethysmography ; Motion artifacts ; Artifact ; resistive
  • 刊名:Journal of Medical Systems
  • 出版年:2016
  • 出版时间:March 2016
  • 年:2016
  • 卷:40
  • 期:3
  • 全文大小:2,051 KB
  • 参考文献:1.Allen, J., Photoplethysmography and its application in clinical physiological measurement. Physiol. Meas. 28(3):R1鈥揜39, 2007.CrossRef PubMed
    2.Challoner, A. V. J., Photoelectric plethysmography for estimating cutaneous blood flow. Non-invasive Physiol. Meas. 1:125鈥?51, 1979.
    3.Pujary, C. J., Investigation of photodetector optimization in reducing power consumption by a noninvasive pulse oximeter sensor. Worcester Polytechnic Institute. 2004.
    4.Loukogeorgakis, S., Dawson, R., Phillips, N., Martyn, C. N., and Greenwald, S. E., Validation of a device to measure arterial pulse wave velocity by a photoplethysmographic method. Physiol. Meas. 23(3):581, 2002.CrossRef PubMed
    5.Grabovskis, A., Marcinkevics, Z., Lukstina, Z., Majauska, M., Aivars, J., Lusa, V., and Kalinina, A., Usability of photoplethysmography method in estimation of conduit artery stiffness. European Conference on Biomedical Optics. Optical Society of America, 2011.
    6.Bagha, S., and Shaw, L., A real time analysis of PPG signal for measurement of SpO2 and pulse rate. Int. J. Comput. Appl. 36(11):45鈥?0, 2011.
    7.Varma, D., Shete, V. V., and Somani, S. B., Development of home health care self monitoring system. Development 4:6, 2015.
    8.Zhou, C., Tu, C., Tian, J., Feng, J., Gao, Y., and Ye, X., A low power miniaturized monitoring system of six human physiological parameters based on wearable body sensor network. Sens. Rev. 35(2):210鈥?18, 2015.CrossRef
    9.Cui, W. J., Ostrander, L. E., and Lee, B. Y., In vivo reflectance of blood and tissue as a function of light wavelength. IEEE Trans. Biomed. Eng. 37(6):632鈥?39, 1990.CrossRef PubMed
    10.Spigulis, J., Gailite, L., Lihachev, A., and Erts, R., Simultaneous recording of skin blood pulsations at different vascular depths by multiwavelength photoplethysmography. Appl. Opt. 46(10):1754鈥?759, 2007.CrossRef PubMed
    11.Watanabe, K., Watanabe, T., Watanabe, H., Ando, H., Ishikawa, T., and Kobayashi, K., Noninvasive measurement of heartbeat, respiration, snoring and body move- ments of a subject in bed via a pneumatic method. IEEE Trans. Biomed. Eng. 52(12):2100鈥?107, 2005.CrossRef PubMed
    12.Xiong, Y., and Quek, F., Hand motion gesture frequency properties and multimodal discourse analysis. Int. J. Comput. Vis. 69(3):353鈥?71, 2006.CrossRef
    13.Zhou, C. C., Tu, C. L., Gao, Y., Wang, F. X., Gong, H. W., Lian, P., and Ye, X. S., A low-power, wireless, wrist-worn device for long time heart rate monitoring and fall detection. 2014 I.E. International Conference on Orange Technologies (ICOT). pp: 33鈥?6, 2014.
    14.Kviesis-Kipge, E., Grabovskis, A., Marcinkevics, Z., Mecnika, V., and Rubenis, O., Wearable photoplethysmography device prototype for wireless cardiovascular monitoring. In: SPIE Photonics Europe. International Society for Optics and Photonics. pp: 91292I-91292I, 2014.
    15.Maeda, Y., Sekine, M., and Tamura, T., Relationship between measurement site and motion artifacts in wearable reflected photoplethysmography. J. Med. Syst. 35(5):969鈥?76, 2011.CrossRef PubMed
    16.Maeda, Y., Sekine, M., and Tamura, T., The advantages of wearable green reflected photoplethysmography. J. Med. Syst. 35(5):829鈥?34, 2011.CrossRef PubMed
    17.Asada, H. H., Jiang, H. H., and Gibbs, P., Active noise cancellation using MEMS accelerometers for motion-tolerant wearable bio-sensors. 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 1:2157鈥?160, 2004.
    18.Rhee, S., Design and analysis of artifact-resistive finger photoplethysmographic sensors for vital sign monitoring. Diss. Massachusetts Institute of Technology, 2000.
    19.Wood, L. B., and Asada, H. H., Low variance adaptive filter for cancelling motion artifact in wearable photoplethysmogram sensor signals. in Proc. Conf. IEEE Eng. Med. Biol. Soc. pp: 652鈥?55, 2007.
    20.Kim, S. H., Ryoo, D. W., and Bae, C., Adaptive noise cancellation using accelerometers for the PPG signal from forehead. in Proc. Conf. IEEE Eng. Med. Biol. Soc. pp: 2564鈥?567, 2007.
    21.Yousefi, R., Nourani, M., Ostadabbas, S., and Panahi, I., A motion-tolerant adaptive algorithm for wearable photoplethysmographic biosensors. IEEE J. Biomed. Health Inform. 18(2):670鈥?81, 2014.CrossRef PubMed
    22.Park, C. K., Sohn, J. C., Kim, J. H., and Choi, H. J., Artifact-resistant design of a wrist-type heart rate monitoring device. Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on. 3:2313鈥?316, 2009.
    23.Hertzman, A. B., Randall, W. C., and Jochim, K. E., Relations between cutaneous blood flow and blood content in the finger pad, forearm and forehead. Am. J. Physiol. 150(1):122鈥?32, 1947.PubMed
    24.Hertzman, A. B., and Randakk, W. C., Regional differences in the basal and maxima rates of blood flow in skin. J. Appl. Physiol. 1(3):234鈥?41, 1948.PubMed
    25.Feng, S., Zeng, F. A., and Chance, B., Photon migration in the presence of a single defect: a perturbation analysis. Appl. Opt. 34(19):3826鈥?837, 1995.CrossRef PubMed
    26.Mateus, J., and Hargens, A. R., Photoplethysmography for non-invasive in vivo measurement of bone hemodynamics. Physiol. Meas. 33(6):1027, 2012.CrossRef PubMed
    27.Grabovskis, A., Marcinkevics, Z., Rubins, U., and Kviesis-Kipge, E., Effect of probe contact pressure on the photoplethysmographic assessment of conduit artery stiffness. J. Biomed. Opt. 18(2):027004鈥?27004, 2013.CrossRef
    28.Teng, X. F., and Zhang, Y. T., Theoretical study on the effect of sensor contact force on pulse transit time. IEEE Trans. Biomed. Eng. 54(8):1490鈥?498, 2007.CrossRef PubMed
    29.Mannheimer, P. D., The light-tissue interaction of pulse oximetry. Anesth Analg. 105(6):S10鈥揝17, 2007.CrossRef PubMed
    30.Han, H., and Kim, J., Artifacts in wearable photoplethysmographs during daily life motions and their reduction with least mean square based active noise cancellation method. Comput. Biol. Med. 42(4):387鈥?93, 2012.CrossRef PubMed
    31.Wijshoff, R. W. C. G. R., Veen, J., et al., PPG motion artifact handling using a self-mixing interferometric sensor. SPIE 7894: Optical Fibers, Sensors, and Devices for Biomedical Diagnostics and Treatment XI; doi: 10.鈥?117/鈥?2.鈥?74170 . SPIE, 2011.
  • 作者单位:Congcong Zhou (1)
    Jingjie Feng (1)
    Jun Hu (2)
    Xuesong Ye (1) (3)

    1. College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
    2. Shanghai Megahealth Technologies Co., LTD, Shanghai, China
    3. State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China
  • 刊物类别:Mathematics and Statistics
  • 刊物主题:Statistics
    Statistics for Life Sciences, Medicine and Health Sciences
    Health Informatics and Administration
  • 出版者:Springer Netherlands
  • ISSN:1573-689X
文摘
Pulse rate is one of the major physiological parameters for monitoring of cardiovascular conditions or excise states during daily life. However it is difficult to precisely measure the exact pulse rates as photoplethysmography (PPG) is easy to be affected by motion artifacts. Instead of using accelerometers followed by algorithms such as least mean square (LMS), recursive least square (RLS) and independent component analysis (ICA) or other equipment such as complex laser systems to measure displacement directly, a novel motion artifact estimation method which had lower computational complexity and higher signal dynamic range was studied and implemented, where a differential channel following green and red light PPG channels was applied to reduce the motion artifact caused by displacement of light emitting diode (LED), photo diode (PD) and tissue deformation before the analog signal was converted to digital form. A miniaturized, battery powered wrist worn artifact-resistive pulse rates monitoring system (PRMS) was presented to verify the proposed method. Four kinds of motions were performed and the results showed that the differential channel improved the morphology of the PPG signal and appeared to be artifact resistive during motions through light intensity control and high gain-phase consistency circuit design here. Keywords Pulse rates Photoplethysmography Motion artifacts Artifact-resistive

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700