TY - JOUR
T1 - Smart drainage monitoring system establishment
T2 - Case study in pleural effusion drainage and its application
AU - Lin, Chia Hung
AU - Pai, Neng Sheng
AU - Kan, Chung Dann
AU - Chen, Pi Yun
AU - Chen, Wei Ling
AU - Li, Chih Hsien
AU - Chen, Yi Hsun
N1 - Funding Information:
This work was supported by the Ministry of Science and Technology, Taiwan, under contract number: MOST 108-2221-E-167-005-MY2 (August 1, 2019–July 31, 2020).
Funding Information:
Chia-Hung Lin was born in 1974. He received his B.S. degree in electrical engineering from the Tatung Institute of Technology, Taipei City, Taiwan, in 1998, his M.S. degree in electrical engineering from the National Sun Yat-Sen University, Kaohsiung City, Taiwan, in 2000, and his Ph.D. degree in electrical engineering from National Sun Yat-Sen University in 2004. He was a professor in the Department of Electrical Engineering, Kao-Yuan University, Kaohsiung City, Taiwan from 2004 to 2017. Currently, he is a professor of the Department of Electrical Engineering and a researcher of Artificial Intelligence Application Research Center, National Chin-Yi University of Technology, Taichung City, Taiwan, where he has been since 2018. His research interests include neural network computing and its applications, biomedical signal processing, digital healthcare, hemodynamic analysis, and pattern recognition.
Publisher Copyright:
© MYU K.K.
PY - 2019
Y1 - 2019
N2 - Pleural effusion is the pathologic accumulation of body fluids in the chest cavity and can be classified as pulmonary edema and hemothorax. Pulmonary edema is usually caused by heart diseases, which account for a greater proportion. In the case of excess effusion volume (1000 –1500 mL), dyspnea occurs in patients, whereas purulent effusion may lead to infection. In general, pleural effusion drainage is performed via an inserted chest tube or a pigtail catheter under clinician suggestions. In clinical practice, current pleural effusion drainage has some concerns, such as (1) drainage volume estimation, (2) drainage volume and duration control, and (3) unplanned chest tube/catheter removal by the patients. Moreover, the rapid drainage of large pleural effusion volumes leads to reexpansion pulmonary edema (RPE), which can threaten the patient’s life. Hence, the current drainage system needs to monitor the heart rate or respiration rate. In this study, we intend to establish a smart drainage monitoring system that could improve the traditional drainage system functions, including (1) drainage volume and speed estimation, removal warning, and heart rate monitoring, and (2) its applications to drainage monitoring in both the thoracic cavity and the abdominal cavity. We expect that we can improve the function of the drainage monitoring system in terms of drainage volume, physiological signals, and safety confirmation.
AB - Pleural effusion is the pathologic accumulation of body fluids in the chest cavity and can be classified as pulmonary edema and hemothorax. Pulmonary edema is usually caused by heart diseases, which account for a greater proportion. In the case of excess effusion volume (1000 –1500 mL), dyspnea occurs in patients, whereas purulent effusion may lead to infection. In general, pleural effusion drainage is performed via an inserted chest tube or a pigtail catheter under clinician suggestions. In clinical practice, current pleural effusion drainage has some concerns, such as (1) drainage volume estimation, (2) drainage volume and duration control, and (3) unplanned chest tube/catheter removal by the patients. Moreover, the rapid drainage of large pleural effusion volumes leads to reexpansion pulmonary edema (RPE), which can threaten the patient’s life. Hence, the current drainage system needs to monitor the heart rate or respiration rate. In this study, we intend to establish a smart drainage monitoring system that could improve the traditional drainage system functions, including (1) drainage volume and speed estimation, removal warning, and heart rate monitoring, and (2) its applications to drainage monitoring in both the thoracic cavity and the abdominal cavity. We expect that we can improve the function of the drainage monitoring system in terms of drainage volume, physiological signals, and safety confirmation.
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U2 - 10.18494/SAM.2019.2441
DO - 10.18494/SAM.2019.2441
M3 - Article
AN - SCOPUS:85075267015
SN - 0914-4935
VL - 31
SP - 3409
EP - 3423
JO - Sensors and Materials
JF - Sensors and Materials
IS - 11
ER -