Intelligent Neonatal Blood Perfusion Assessment System Based on Near-Infrared Spectroscopy
High-risk infants in the neonatal intensive care unit often encounter the problems with hemodynamic instability, and the poor blood circulation may cause shock or other sequelae. But the appearance of shock is not easy to be noticed in the initial stage, and most of the clinical judgments are subjec...
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2025-01-01
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| Series: | IEEE Journal of Translational Engineering in Health and Medicine |
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| Online Access: | https://ieeexplore.ieee.org/document/10849653/ |
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| author | Hsiu-Lin Chen Bor-Shing Lin Chieh-Miao Chang Hao-Wei Chung Shu-Ting Yang Bor-Shyh Lin |
| author_facet | Hsiu-Lin Chen Bor-Shing Lin Chieh-Miao Chang Hao-Wei Chung Shu-Ting Yang Bor-Shyh Lin |
| author_sort | Hsiu-Lin Chen |
| collection | DOAJ |
| description | High-risk infants in the neonatal intensive care unit often encounter the problems with hemodynamic instability, and the poor blood circulation may cause shock or other sequelae. But the appearance of shock is not easy to be noticed in the initial stage, and most of the clinical judgments are subjectively dependent on the experienced physicians. Therefore, how to effectively evaluate the neonatal blood circulation state is important for the treatment in time. Although some instruments, such as laser Doppler flow meter, can estimate the information of blood flow, there is still lack of monitoring systems to evaluate the neonatal blood circulation directly. Based on the technique of near-infrared spectroscopy, an intelligent neonatal blood perfusion assessment system was proposed in this study, to monitor the changes of hemoglobin concentration and tissue oxygen saturation simultaneously and further estimate the neonatal blood perfusion. Several indexes were defined from the changes of hemoglobin parameters under applying and relaxing pressure to obtain the neonatal perfusion information. Moreover, the neural network-based classifier was also used to effectively classify the groups with different blood perfusion states. From the experimental results, the difference between the groups with different blood perfusion states could exactly be reflected on several defined indexes and could be effectively recognized by using the technique of neural network. Clinical and Translational Impact Statement—An intelligent neonatal blood perfusion assessment system was proposed to monitor the changes of hemoglobin concentration and tissue oxygen saturation simultaneously and further estimate the neonatal blood perfusion (Category: Preclinical Research) |
| format | Article |
| id | doaj-art-cf462a63f05f403ab77bf0c1c5f7c87b |
| institution | Kabale University |
| issn | 2168-2372 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Translational Engineering in Health and Medicine |
| spelling | doaj-art-cf462a63f05f403ab77bf0c1c5f7c87b2025-02-04T00:00:30ZengIEEEIEEE Journal of Translational Engineering in Health and Medicine2168-23722025-01-0113233210.1109/JTEHM.2025.353280110849653Intelligent Neonatal Blood Perfusion Assessment System Based on Near-Infrared SpectroscopyHsiu-Lin Chen0https://orcid.org/0000-0002-0565-4631Bor-Shing Lin1https://orcid.org/0000-0003-0498-3190Chieh-Miao Chang2Hao-Wei Chung3Shu-Ting Yang4Bor-Shyh Lin5https://orcid.org/0000-0002-8653-2571Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanDepartment of Computer Science and Information Engineering, National Taipei University, New Taipei City, TaiwanInstitute of Imaging and Biomedical Photonics, National Yang Ming Chiao Tung University, Tainan, TaiwanDepartment of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanDepartment of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanInstitute of Imaging and Biomedical Photonics, National Yang Ming Chiao Tung University, Tainan, TaiwanHigh-risk infants in the neonatal intensive care unit often encounter the problems with hemodynamic instability, and the poor blood circulation may cause shock or other sequelae. But the appearance of shock is not easy to be noticed in the initial stage, and most of the clinical judgments are subjectively dependent on the experienced physicians. Therefore, how to effectively evaluate the neonatal blood circulation state is important for the treatment in time. Although some instruments, such as laser Doppler flow meter, can estimate the information of blood flow, there is still lack of monitoring systems to evaluate the neonatal blood circulation directly. Based on the technique of near-infrared spectroscopy, an intelligent neonatal blood perfusion assessment system was proposed in this study, to monitor the changes of hemoglobin concentration and tissue oxygen saturation simultaneously and further estimate the neonatal blood perfusion. Several indexes were defined from the changes of hemoglobin parameters under applying and relaxing pressure to obtain the neonatal perfusion information. Moreover, the neural network-based classifier was also used to effectively classify the groups with different blood perfusion states. From the experimental results, the difference between the groups with different blood perfusion states could exactly be reflected on several defined indexes and could be effectively recognized by using the technique of neural network. Clinical and Translational Impact Statement—An intelligent neonatal blood perfusion assessment system was proposed to monitor the changes of hemoglobin concentration and tissue oxygen saturation simultaneously and further estimate the neonatal blood perfusion (Category: Preclinical Research)https://ieeexplore.ieee.org/document/10849653/Neonatal intensive care unitshockblood perfusionnear-infrared spectroscopyneural network |
| spellingShingle | Hsiu-Lin Chen Bor-Shing Lin Chieh-Miao Chang Hao-Wei Chung Shu-Ting Yang Bor-Shyh Lin Intelligent Neonatal Blood Perfusion Assessment System Based on Near-Infrared Spectroscopy IEEE Journal of Translational Engineering in Health and Medicine Neonatal intensive care unit shock blood perfusion near-infrared spectroscopy neural network |
| title | Intelligent Neonatal Blood Perfusion Assessment System Based on Near-Infrared Spectroscopy |
| title_full | Intelligent Neonatal Blood Perfusion Assessment System Based on Near-Infrared Spectroscopy |
| title_fullStr | Intelligent Neonatal Blood Perfusion Assessment System Based on Near-Infrared Spectroscopy |
| title_full_unstemmed | Intelligent Neonatal Blood Perfusion Assessment System Based on Near-Infrared Spectroscopy |
| title_short | Intelligent Neonatal Blood Perfusion Assessment System Based on Near-Infrared Spectroscopy |
| title_sort | intelligent neonatal blood perfusion assessment system based on near infrared spectroscopy |
| topic | Neonatal intensive care unit shock blood perfusion near-infrared spectroscopy neural network |
| url | https://ieeexplore.ieee.org/document/10849653/ |
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