Real-Time Internet of Medical Things System for Detecting Blood Leakage during Hemodialysis Using a Novel Multiple Concentric Ring Sensor
Venous needle dislodgement (VND) is a major healthcare safety concern in patients undergoing hemodialysis. Although VND is uncommon, it can be life-threatening. The main objective of this study was to implement a real-time multi-bed monitoring system for VND by combining a novel leakage-detection de...
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Published in | Sensors (Basel, Switzerland) Vol. 22; no. 5; p. 1988 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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03.03.2022
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ISSN | 1424-8220 1424-8220 |
DOI | 10.3390/s22051988 |
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Abstract | Venous needle dislodgement (VND) is a major healthcare safety concern in patients undergoing hemodialysis. Although VND is uncommon, it can be life-threatening. The main objective of this study was to implement a real-time multi-bed monitoring system for VND by combining a novel leakage-detection device and IoMT (Internet of Medical Things) technology. The core of the system, the Acusense IoMT platform, consisted of a novel leakage-detection patch comprised of multiple concentric rings to detect blood leakage and quantify the leaked volume. The performance of the leakage-detection system was evaluated on a prosthetic arm and clinical study. Patients with a high risk of blood leakage were recruited as candidates. The system was set up in a hospital, and the subjects were monitored for 2 months. During the pre-clinical simulation experiment, the system could detect blood leakage volumes from 0.3 to 0.9 mL. During the test of the IoMT system, the overall success rate of tests was 100%, with no lost data packets. A total of 701 dialysis sessions were analyzed, and the accuracy and sensitivity were 99.7% and 90.9%, respectively. Evaluation questionnaires showed that the use of the system after training changed attitudes and reduced worry of the nursing staff. Our results show the feasibility of using a novel detector combined with an IoMT system to automatically monitor multi-bed blood leakage. The innovative concentric-circle design could more precisely control the warning blood-leakage threshold in any direction to achieve clinical cost-effectiveness. The system reduced the load on medical staff and improved patient safety. In the future, it could also be applied to home hemodialysis for telemedicine during the era of COVID-19. |
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AbstractList | Venous needle dislodgement (VND) is a major healthcare safety concern in patients undergoing hemodialysis. Although VND is uncommon, it can be life-threatening. The main objective of this study was to implement a real-time multi-bed monitoring system for VND by combining a novel leakage-detection device and IoMT (Internet of Medical Things) technology. The core of the system, the Acusense IoMT platform, consisted of a novel leakage-detection patch comprised of multiple concentric rings to detect blood leakage and quantify the leaked volume. The performance of the leakage-detection system was evaluated on a prosthetic arm and clinical study. Patients with a high risk of blood leakage were recruited as candidates. The system was set up in a hospital, and the subjects were monitored for 2 months. During the pre-clinical simulation experiment, the system could detect blood leakage volumes from 0.3 to 0.9 mL. During the test of the IoMT system, the overall success rate of tests was 100%, with no lost data packets. A total of 701 dialysis sessions were analyzed, and the accuracy and sensitivity were 99.7% and 90.9%, respectively. Evaluation questionnaires showed that the use of the system after training changed attitudes and reduced worry of the nursing staff. Our results show the feasibility of using a novel detector combined with an IoMT system to automatically monitor multi-bed blood leakage. The innovative concentric-circle design could more precisely control the warning blood-leakage threshold in any direction to achieve clinical cost-effectiveness. The system reduced the load on medical staff and improved patient safety. In the future, it could also be applied to home hemodialysis for telemedicine during the era of COVID-19.Venous needle dislodgement (VND) is a major healthcare safety concern in patients undergoing hemodialysis. Although VND is uncommon, it can be life-threatening. The main objective of this study was to implement a real-time multi-bed monitoring system for VND by combining a novel leakage-detection device and IoMT (Internet of Medical Things) technology. The core of the system, the Acusense IoMT platform, consisted of a novel leakage-detection patch comprised of multiple concentric rings to detect blood leakage and quantify the leaked volume. The performance of the leakage-detection system was evaluated on a prosthetic arm and clinical study. Patients with a high risk of blood leakage were recruited as candidates. The system was set up in a hospital, and the subjects were monitored for 2 months. During the pre-clinical simulation experiment, the system could detect blood leakage volumes from 0.3 to 0.9 mL. During the test of the IoMT system, the overall success rate of tests was 100%, with no lost data packets. A total of 701 dialysis sessions were analyzed, and the accuracy and sensitivity were 99.7% and 90.9%, respectively. Evaluation questionnaires showed that the use of the system after training changed attitudes and reduced worry of the nursing staff. Our results show the feasibility of using a novel detector combined with an IoMT system to automatically monitor multi-bed blood leakage. The innovative concentric-circle design could more precisely control the warning blood-leakage threshold in any direction to achieve clinical cost-effectiveness. The system reduced the load on medical staff and improved patient safety. In the future, it could also be applied to home hemodialysis for telemedicine during the era of COVID-19. Venous needle dislodgement (VND) is a major healthcare safety concern in patients undergoing hemodialysis. Although VND is uncommon, it can be life-threatening. The main objective of this study was to implement a real-time multi-bed monitoring system for VND by combining a novel leakage-detection device and IoMT (Internet of Medical Things) technology. The core of the system, the Acusense IoMT platform, consisted of a novel leakage-detection patch comprised of multiple concentric rings to detect blood leakage and quantify the leaked volume. The performance of the leakage-detection system was evaluated on a prosthetic arm and clinical study. Patients with a high risk of blood leakage were recruited as candidates. The system was set up in a hospital, and the subjects were monitored for 2 months. During the pre-clinical simulation experiment, the system could detect blood leakage volumes from 0.3 to 0.9 mL. During the test of the IoMT system, the overall success rate of tests was 100%, with no lost data packets. A total of 701 dialysis sessions were analyzed, and the accuracy and sensitivity were 99.7% and 90.9%, respectively. Evaluation questionnaires showed that the use of the system after training changed attitudes and reduced worry of the nursing staff. Our results show the feasibility of using a novel detector combined with an IoMT system to automatically monitor multi-bed blood leakage. The innovative concentric-circle design could more precisely control the warning blood-leakage threshold in any direction to achieve clinical cost-effectiveness. The system reduced the load on medical staff and improved patient safety. In the future, it could also be applied to home hemodialysis for telemedicine during the era of COVID-19. |
Author | Liu, Chih-Hao Lin, Chou-Ching Chen, Kuan-Yu Du, Yi-Chun Lin, Hsuan-Ming Hu, Hsiang-Wei |
AuthorAffiliation | 3 AcuSense BioMedical Technology Corp., Tainan 744, Taiwan; alvinliu66@gmail.com 6 Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan 1 Department of Biomedical Engineering, National Cheng Kung University, Tainan 704, Taiwan; p88051012@mail.ncku.edu.tw (H.-W.H.); terrydu@gs.ncku.edu.tw (Y.-C.D.) 4 Medical Device Innovation Center, National Cheng Kung University, Tainan 701, Taiwan 2 International Academia of Biomedical Innovation Technology, Taipei 104, Taiwan; ky.kychen@acusense.com.tw 5 Department of Nephrology, An Nan Hospital, China Medical University, Tainan 709, Taiwan; d12598@mail.tmanh.org.tw |
AuthorAffiliation_xml | – name: 5 Department of Nephrology, An Nan Hospital, China Medical University, Tainan 709, Taiwan; d12598@mail.tmanh.org.tw – name: 2 International Academia of Biomedical Innovation Technology, Taipei 104, Taiwan; ky.kychen@acusense.com.tw – name: 6 Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan – name: 1 Department of Biomedical Engineering, National Cheng Kung University, Tainan 704, Taiwan; p88051012@mail.ncku.edu.tw (H.-W.H.); terrydu@gs.ncku.edu.tw (Y.-C.D.) – name: 3 AcuSense BioMedical Technology Corp., Tainan 744, Taiwan; alvinliu66@gmail.com – name: 4 Medical Device Innovation Center, National Cheng Kung University, Tainan 701, Taiwan |
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Cites_doi | 10.2196/jmir.7131 10.1111/j.1755-6686.2005.tb00434.x 10.4108/icst.mobihealth.2014.257440 10.1111/j.1755-6686.2008.00047.x 10.1148/radiol.2251011367 10.1016/S0140-6736(16)31012-1 10.1007/s11255-020-02609-5 10.1111/j.1537-2995.2009.02518.x 10.5688/ajpe808S9 10.2196/humanfactors.7078 10.2196/19493 10.3390/s16060849 10.1111/j.1542-4758.2008.00263.x 10.3390/ijerph16132388 |
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SubjectTerms | Arm Artificial Limbs blood leakage detection Clinical trials COVID-19 Experiments Fistula Hemodialysis Humans Internet Internet of Medical Things (IoMT) multi-bed monitoring system Patient safety Performance evaluation Prostheses Renal Dialysis - adverse effects SARS-CoV-2 Sensors Simulation venous needle dislodgement |
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Title | Real-Time Internet of Medical Things System for Detecting Blood Leakage during Hemodialysis Using a Novel Multiple Concentric Ring Sensor |
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