System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry
Background Appropriate monitoring of intradialytic biosignals is essential to minimize adverse outcomes because intradialytic hypotension and arrhythmia are associated with cardiovascular risk in hemodialysis patients. However, a continuous monitoring system for intradialytic biosignals has not yet...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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The Korean Society of Nephrology
2022-05-01
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| Series: | Kidney Research and Clinical Practice |
| Subjects: | |
| Online Access: | http://www.krcp-ksn.org/upload/pdf/j-krcp-21-157.pdf |
| _version_ | 1818041673179987968 |
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| author | Seonmi Kim Donghwan Yun Soonil Kwon So-Ryoung Lee Kwangsoo Kim Yong Chul Kim Dong Ki Kim Kook-Hwan Oh Kwon Wook Joo Hyung-Chul Lee Chul-Woo Jung Yon Su Kim Seung Seok Han |
| author_facet | Seonmi Kim Donghwan Yun Soonil Kwon So-Ryoung Lee Kwangsoo Kim Yong Chul Kim Dong Ki Kim Kook-Hwan Oh Kwon Wook Joo Hyung-Chul Lee Chul-Woo Jung Yon Su Kim Seung Seok Han |
| author_sort | Seonmi Kim |
| collection | DOAJ |
| description | Background Appropriate monitoring of intradialytic biosignals is essential to minimize adverse outcomes because intradialytic hypotension and arrhythmia are associated with cardiovascular risk in hemodialysis patients. However, a continuous monitoring system for intradialytic biosignals has not yet been developed. Methods This study investigated a cloud system that hosted a prospective, open-source registry to monitor and collect intradialytic biosignals, which was named the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry. This registry was based on real-time multimodal data acquisition, such as blood pressure, heart rate, electrocardiogram, and photoplethysmogram results. Results We analyzed session information from this system for the initial 8 months, including data for some cases with hemodynamic complications such as intradialytic hypotension and arrhythmia. Conclusion This biosignal registry provides valuable data that can be applied to conduct epidemiological surveys on hemodynamic complications during hemodialysis and develop artificial intelligence models that predict biosignal changes which can improve patient outcomes. |
| first_indexed | 2024-12-10T08:34:09Z |
| format | Article |
| id | doaj.art-d0f86a6db38d4ad6930b0933408edccd |
| institution | Directory Open Access Journal |
| issn | 2211-9132 2211-9140 |
| language | English |
| last_indexed | 2024-12-10T08:34:09Z |
| publishDate | 2022-05-01 |
| publisher | The Korean Society of Nephrology |
| record_format | Article |
| series | Kidney Research and Clinical Practice |
| spelling | doaj.art-d0f86a6db38d4ad6930b0933408edccd2022-12-22T01:56:01ZengThe Korean Society of NephrologyKidney Research and Clinical Practice2211-91322211-91402022-05-0141336337110.23876/j.krcp.21.1576149System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registrySeonmi Kim0Donghwan Yun1Soonil Kwon2So-Ryoung Lee3Kwangsoo Kim4Yong Chul Kim5Dong Ki Kim6Kook-Hwan Oh7Kwon Wook Joo8Hyung-Chul Lee9Chul-Woo Jung10Yon Su Kim11Seung Seok Han12 Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of KoreaBackground Appropriate monitoring of intradialytic biosignals is essential to minimize adverse outcomes because intradialytic hypotension and arrhythmia are associated with cardiovascular risk in hemodialysis patients. However, a continuous monitoring system for intradialytic biosignals has not yet been developed. Methods This study investigated a cloud system that hosted a prospective, open-source registry to monitor and collect intradialytic biosignals, which was named the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry. This registry was based on real-time multimodal data acquisition, such as blood pressure, heart rate, electrocardiogram, and photoplethysmogram results. Results We analyzed session information from this system for the initial 8 months, including data for some cases with hemodynamic complications such as intradialytic hypotension and arrhythmia. Conclusion This biosignal registry provides valuable data that can be applied to conduct epidemiological surveys on hemodynamic complications during hemodialysis and develop artificial intelligence models that predict biosignal changes which can improve patient outcomes.http://www.krcp-ksn.org/upload/pdf/j-krcp-21-157.pdfbiosignalcardiac arrhythmiashypertensionhypotensionrenal dialysis |
| spellingShingle | Seonmi Kim Donghwan Yun Soonil Kwon So-Ryoung Lee Kwangsoo Kim Yong Chul Kim Dong Ki Kim Kook-Hwan Oh Kwon Wook Joo Hyung-Chul Lee Chul-Woo Jung Yon Su Kim Seung Seok Han System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry Kidney Research and Clinical Practice biosignal cardiac arrhythmias hypertension hypotension renal dialysis |
| title | System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry |
| title_full | System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry |
| title_fullStr | System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry |
| title_full_unstemmed | System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry |
| title_short | System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry |
| title_sort | system of integrating biosignals during hemodialysis the continual continuous monitoring vital sign during hemodialysis registry |
| topic | biosignal cardiac arrhythmias hypertension hypotension renal dialysis |
| url | http://www.krcp-ksn.org/upload/pdf/j-krcp-21-157.pdf |
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