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Using breath sound data to detect intraoperative respiratory depression in non-intubated anesthesia

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Acknowledgements

This work was supported by National Key Technologies R&D Program (Grant No. 2017YFB0405604), Key Research Program of Frontier Science, Chinese Academy of Sciences (Grant No. QYZDY-SSW-JSC004), Basic Research Project of Shanghai Science and Technology Commission (Grant No. 16JC1400101), and Beijing S&T Planning Task (Grant No. Z161100002616019).

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Authors and Affiliations

  1. State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China

    Sikai Wang & Ming Liu

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Sikai Wang

  3. Tsinghua National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, 100083, China

    Kang Zhao, Hanjun Jiang & Zhihua Wang

  4. Liaocheng People’s Hospital, Liaocheng, 252000, China

    Zongwang Zhang & Huili Kan

  5. Beijing Yiemed Medical Technology Co., Ltd., Beijing, 100098, China

    Ping Chen & Binjie Zhu

Authors
  1. Sikai Wang
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  2. Kang Zhao
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  3. Ming Liu
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  4. Hanjun Jiang
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  5. Zhihua Wang
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  6. Zongwang Zhang
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  7. Huili Kan
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  8. Ping Chen
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  9. Binjie Zhu
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Corresponding author

Correspondence to Ming Liu.

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Wang, S., Zhao, K., Liu, M. et al. Using breath sound data to detect intraoperative respiratory depression in non-intubated anesthesia. Sci. China Inf. Sci. 64, 134101 (2021). https://doi.org/10.1007/s11432-019-1510-6

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  • DOI: https://doi.org/10.1007/s11432-019-1510-6

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