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Cerebral tissue oximeter suitable for real-time regional oxygen saturation monitoring in multiple clinical settings

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Abstract

Maintenance of adequate blood perfusion and oxygen delivery is essential for cerebral metabolism. Cerebral oximeters based on near-infrared spectroscopy (NIRS) have been used for noninvasive, continuous, real-time monitoring of cerebral oxygen saturation and management of cerebral oxygen adequacy perioperatively and intraoperatively in various clinical situations, such as cardiac surgery, anesthesia, and cerebral auto-regulation. In this study, a portable and modular cerebral tissue oximeter (BRS-1) was designed for real-time detection of regional oxygen saturation over the brain, finger, or other targeted body tissues, as well as for wireless cerebral oxygenation monitoring. The compact and lightweight design of the system makes it easy to use during ambulance transport, in an emergency cart, or in an intensive care unit. The system performance of the BRS-1 oximeter was evaluated and compared with two US FDA-cleared cerebral oximeters during a controlled hypoxia experiment. The results showed that the BRS-1 oximeter can be used for real-time detection of cerebral desaturation with an accuracy similar to the two commercial oximeters. More importantly, the BRS-1 oximeter is capable of capturing cerebral oxygen saturation wirelessly. The BRS-1 cerebral oximeter can provide valuable insights for clinicians for real-time monitoring of cerebral/tissue perfusion and management of patients in prehospital and perioperative periods.

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Acknowledgements

This work was partially supported by the Beijing Natural Science Foundation (Grant No. 4214080), the National Natural Science Foundation of China (Grant Nos. 31571003, U1636121, 82027802, and 82102220), the Key Programs of Science and Technology Commission Foundation of Beijing (Grant No. Z181100003818004), the R&D Program of Beijing Municipal Education Commission (Grant No. KM202011232008), the General projects of Scientific and technological Plan of Beijing Municipal Education Commission (Grant Nos. 1202080880, KM202010025023), and the Beijing Municipal Natural Science Foundation (Grant No. 61975017).

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Author notes

  1. Juanning Si and Ming Li contributed equally to this study.

Authors and Affiliations

  1. School of Instrumentation Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192, China

    Juanning Si

  2. Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China

    Ming Li & Xunming Ji

  3. Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Xin Zhang & Tianzi Jiang

  4. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Xin Zhang & Tianzi Jiang

  5. Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100015, China

    Ruquan Han

  6. Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China

    Xunming Ji

  7. BUAA-CCMU Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, 100191, China

    Xunming Ji

  8. Research and Development Department, Casibrain Technology Limited Company, Beijing, 100190, China

    Tianzi Jiang

  9. Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 625014, China

    Tianzi Jiang

  10. Chinese Academy of Sciences Center for Excellence in Brain Science, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Tianzi Jiang

  11. Queensland Brain Institute, University of Queensland, St. Lucia, QLD, 4072, Australia

    Tianzi Jiang

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  1. Juanning Si
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  2. Ming Li
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  3. Xin Zhang
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Correspondence to Ruquan Han, Xunming Ji or Tianzi Jiang.

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Si, J., Li, M., Zhang, X. et al. Cerebral tissue oximeter suitable for real-time regional oxygen saturation monitoring in multiple clinical settings. Cogn Neurodyn 17, 563–574 (2023). https://doi.org/10.1007/s11571-022-09847-6

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  • DOI: https://doi.org/10.1007/s11571-022-09847-6

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