Implement wrist-worn PPG and SpO2 monitoring system

  • Authors

    • Yun Hong Noh
    • Ji Yun Seo
    • Do Un Jeong
    2018-04-03
    https://doi.org/10.14419/ijet.v7i2.12.11031
  • PPG, SPO2, Adaptive Filter, Motion-Artifact Removal, Real-Time Monitoring.
  • Abstract

    Background/Objectives: With the advent of an aging society, the advent of smartphones is changing the paradigm of medical services.Existing health care has been aimed at diagnosing and curing, but now there is a lot of focus on personal health monitoring and disease prevention.The PPG signal reflecting the activity state of the heart among the various biological information of the human body has a regular period and regular characteristic.In addition, it is possible to observe pathological and physiological abnormalities by observing changes in the components of the PPG signal according to the state of health and the body, and it can be utilized for diagnosis of heart disease.

    Methods/Statistical analysis: In this research, we implemented a wrist - worn measuring system to monitor PPG and SPO2 in real time in daily life. Adaptive filter method was applied formotion-artifact removal of PPG and SpO2 signal measured in everyday life. A smart phone application applied the adaptive filter method can monitoring the measured physical information in real time.

    Findings: For the performance evaluation, the PPG signal of the wrist wearing type measurement system implemented using the commercial PPG measuring device ubpulse 360 (Laxtha, Korea) were comparative evaluation. Also, we measured PPG signals according to activity and rest state in 9 college students. As a result of the experiment, it was confirmed that the mean correlation coefficient between the implemented system and the commercial system was 0.934. We confirmed that the measured results are very similar, and we can confirm the usefulness of the implemented system.

    Improvements/Applications: In non-invasive SpO2 devices, even with slight movement, the noise is larger than the signal and the ratio of absorbance is incorrectly calculated when calculating SPO2. Therefore, it is difficult to obtain a normal waveform. In order to overcome these disadvantages, we implemented the PPG and SPO2 measurement monitoring system which minimizes the distortion of the PPG signal using the adaptive filter.In the future, we will research techniques for measuring PPG and SPO2 more conveniently in daily life and algorithms for improving the accuracy of PPG data.

     

     

  • References

    1. [1] Peter, L., Noury, N., &Cerny, M. (2014). A review of methods for non-invasive and continuous blood pressure monitoring: Pulse transit time method is promising. Irbm, 35(5), 271-282.

      [2] Lin, Wan-Hua, et al. "Comparison of heart rate variability from PPG with that from ECG." The International Conference on Health Informatics. Springer, Cham, 2014.

      [3] CHUNG, Wan-Young; LEE, Young-Dong; JUNG, Sang-Joong. A wireless sensor network compatible wearable u-healthcare monitoring system using integrated ECG, accelerometer and SpO 2. In: Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE. IEEE, 2008. p. 1529-1532.

      [4] Shao, Dangdang, et al. "Noncontact monitoring of blood oxygen saturation using camera and dual-wavelength imaging system." IEEE Transactions on Biomedical Engineering 63.6 (2016): 1091-1098.

      [5] Garde, Ainara, et al. "Detection of sleep apnea events in children using the “phone oximeterâ€." Sleep Medicine 16 (2015): S5-S6.

      [6] Jeong, Seol Young, et al. "Homecare kit platform supporting multiple bio-signals acquisition and analysis in daily-life." Big Data and Smart Computing (BigComp), 2017 IEEE International Conference on. IEEE, 2017.

      [7] Peter, Lukas, Jan Foltyn, and Martin Cerny. "Pulse wave velocity measurement; developing process of new measuring device." Applied Machine Intelligence and Informatics (SAMI), 2015 IEEE 13th International Symposium on. IEEE, 2015.

      [8] Puke, Sawa, et al. "Blood pressure estimation from pulse wave velocity measured on the chest." Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE. IEEE, 2013.

      [9] Konijnenburg, Mario, et al. "A Multi (bio) sensor Acquisition System with Integrated Processor, Power Management, $8times 8$ LED Drivers, and Simultaneously Synchronized ECG, BIO-Z, GSR, and Two PPG Readouts." IEEE Journal of Solid-State Circuits 51.11 (2016): 2584-2595.

      [10] Yan, Jiayun, and Guangyu Bin. "Research on an anti-motion interference algorithm of blood oxygen saturation based on AC and DC analysis." Technology and Health Care 23.s2 (2015): S285-S291.

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  • How to Cite

    Hong Noh, Y., Yun Seo, J., & Un Jeong, D. (2018). Implement wrist-worn PPG and SpO2 monitoring system. International Journal of Engineering & Technology, 7(2.12), 39-42. https://doi.org/10.14419/ijet.v7i2.12.11031

    Received date: 2018-04-03

    Accepted date: 2018-04-03

    Published date: 2018-04-03