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Li Y, Qiu X, Zhang H, Xu L, Lu S, Du L, Chen X, Fang Z. A Fast Calibration Method for Pneumotachograph with a 3L Syringe. Bioengineering (Basel) 2023; 10:1053. [PMID: 37760155 PMCID: PMC10525123 DOI: 10.3390/bioengineering10091053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/21/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
The pneumotachograph (PNT), a commonly used flowmeter in pulmonary function diagnostic equipment, is the required frequency calibration to maintain high accuracy. Aiming to simplify calibration steps, we developed a fast calibration system with a commercially available 3L syringe to provide a real output flow waveform. The acquisition of the real output flow waveform is based on the reliable measurement of in-cylinder pressure and the real-time detection of plunger speed. To improve the calibration accuracy, the tapping position for measuring in-cylinder pressure was optimized by CFD dynamic-mesh updating technique. The plunger speed was obtained by tracking the handle of the plunger with a smart terminal. Then, the real output flow was corrected using a compensation model equation. The calibration system was verified by the pulmonary waveform generator that the accuracy satisfied the requirements for respiratory flow measurement according to ATS standardization. The experimental results suggest that the developed method promises the fast calibration of PNT.
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Affiliation(s)
- Yueqi Li
- Institute of Microelectronic, Chinese Academy of Sciences (IMECAS), Beijing 100029, China;
- Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China; (H.Z.); (L.X.); (S.L.); (L.D.); (X.C.)
| | - Xin Qiu
- Institute of Microelectronic, Chinese Academy of Sciences (IMECAS), Beijing 100029, China;
- Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China; (H.Z.); (L.X.); (S.L.); (L.D.); (X.C.)
| | - Hao Zhang
- Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China; (H.Z.); (L.X.); (S.L.); (L.D.); (X.C.)
- Personalized Management of Chronic Respiratory Disease, Chinese Academy of Medical Sciences, Beijing 100006, China
| | - Lirui Xu
- Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China; (H.Z.); (L.X.); (S.L.); (L.D.); (X.C.)
- Personalized Management of Chronic Respiratory Disease, Chinese Academy of Medical Sciences, Beijing 100006, China
| | - Saihu Lu
- Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China; (H.Z.); (L.X.); (S.L.); (L.D.); (X.C.)
- Personalized Management of Chronic Respiratory Disease, Chinese Academy of Medical Sciences, Beijing 100006, China
| | - Lidong Du
- Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China; (H.Z.); (L.X.); (S.L.); (L.D.); (X.C.)
- Personalized Management of Chronic Respiratory Disease, Chinese Academy of Medical Sciences, Beijing 100006, China
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Xianxiang Chen
- Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China; (H.Z.); (L.X.); (S.L.); (L.D.); (X.C.)
- Personalized Management of Chronic Respiratory Disease, Chinese Academy of Medical Sciences, Beijing 100006, China
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Zhen Fang
- Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China; (H.Z.); (L.X.); (S.L.); (L.D.); (X.C.)
- Personalized Management of Chronic Respiratory Disease, Chinese Academy of Medical Sciences, Beijing 100006, China
- University of Chinese Academy of Sciences, Beijing 100190, China
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Nafisi VR, Eghbal M, Torbati N. Conceptual Design of a Device for Online Calibration of Spirometer Based on Neural Network. J Biomed Phys Eng 2023; 13:291-296. [PMID: 37312895 PMCID: PMC10258211 DOI: 10.31661/jbpe.v0i0.1038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 01/22/2021] [Indexed: 06/15/2023]
Abstract
Daily calibration of spirometry devices plays an important role in promoting the accuracy of pulmonary diagnostic results. It is needed to have more precise and adequate instruments for calibrating spirometry during the clinical use. In this work, a device was designed and developed based on a calibrated-volume syringe and an electrical circuit was also built to measure the air flux. Some colored tapes with specific size and order covered the syringe piston. When the piston moved in front of the color sensor, the input air flow was calculated according to the width of the strips and transferred to the computer. A Radial Basis Function (RBF) neural network estimator used new data to modify the previous estimation function for increasing the accuracy and the reliability. The simulation showed that the root mean square of the error improved from 13.7±0.37% to 4.2±0.22%, i.e. the calibration curve has improved about 70%.
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Affiliation(s)
- Vahid Reza Nafisi
- Biomedical Engineering group, Department of Electrical & Information Technology, Iranian Research Organization for Science and Technology, Tehran, Iran
| | - Manouchehr Eghbal
- Biomedical Engineering group, Department of Electrical & Information Technology, Iranian Research Organization for Science and Technology, Tehran, Iran
| | - Nasim Torbati
- Food and Drug Administration, Ministry of Health and Medical Education, Tehran, Iran
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Priem S, Jonckheer J, De Waele E, Stiens J. Indirect Calorimetry in Spontaneously Breathing, Mechanically Ventilated and Extracorporeally Oxygenated Patients: An Engineering Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:4143. [PMID: 37112483 PMCID: PMC10144739 DOI: 10.3390/s23084143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/15/2023] [Accepted: 04/18/2023] [Indexed: 06/19/2023]
Abstract
Indirect calorimetry (IC) is considered the gold standard for measuring resting energy expenditure (REE). This review presents an overview of the different techniques to assess REE with special regard to the use of IC in critically ill patients on extracorporeal membrane oxygenation (ECMO), as well as to the sensors used in commercially available indirect calorimeters. The theoretical and technical aspects of IC in spontaneously breathing subjects and critically ill patients on mechanical ventilation and/or ECMO are covered and a critical review and comparison of the different techniques and sensors is provided. This review also aims to accurately present the physical quantities and mathematical concepts regarding IC to reduce errors and promote consistency in further research. By studying IC on ECMO from an engineering point of view rather than a medical point of view, new problem definitions come into play to further advance these techniques.
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Affiliation(s)
- Sebastiaan Priem
- Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Pleinlaan, 1050 Brussels, Belgium
| | - Joop Jonckheer
- Department of Intensive Care, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Laarbeeklaan, 1090 Brussels, Belgium
| | - Elisabeth De Waele
- Department of Intensive Care, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Laarbeeklaan, 1090 Brussels, Belgium
- Department of Nutrition, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Laarbeeklaan, 1090 Brussels, Belgium
| | - Johan Stiens
- Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Pleinlaan, 1050 Brussels, Belgium
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Mathematical Analysis of a Low Cost Mechanical Ventilator Respiratory Dynamics Enhanced by a Sensor Transducer (ST) Based in Nanostructures of Anodic Aluminium Oxide (AAO). MATHEMATICS 2022. [DOI: 10.3390/math10142403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Mechanical ventilation systems require a device for measuring the air flow provided to a patient in order to monitor and ensure the correct quantity of air proportionated to the patient, this device is the air flow sensor. At the beginning of the COVID-19 pandemic, flow sensors were not available in Peru because of the international supply shortage. In this context, a novel air flow sensor based on an orifice plate and an intelligent transducer was developed to form an integrated device. The proposed design was focused on simple manufacturing requirements for mass production in a developing country. CAD and CAE techniques were used in the design stage, and a mathematical model of the device was proposed and calibrated experimentally for the measured data transduction. The device was tested in its real working conditions and was therefore implemented in a breathing circuit connected to a low-cost mechanical ventilation system. Results indicate that the designed air flow sensor/transducer is a low-cost complete medical device for mechanical ventilators that is able to provide all the ventilation parameters by an equivalent electrical signal to directly display the following factors: air flow, pressure and volume over time. The evaluation of the designed sensor transducer was performed according to sundry transducer parameters such as geometrical parameters, material parameters and adaptive coefficients in the main transduction algorithm; in effect, the variety of the described results were achieved by the faster response time and robustness proportionated by transducers of nanostructures based on Anodic Aluminum Oxide (AAO), which enhanced the designed sensor/transducer (ST) during operation in intricate geographic places, such as the Andes mountains of Peru.
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Abedkarimi S, Ghavami Sabouri S. Speckle Analyzer: open-source package in MATLAB for finding metrics of physical quantities based on laser speckle pattern analyzing. APPLIED OPTICS 2021; 60:9728-9735. [PMID: 34807157 DOI: 10.1364/ao.438122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 09/29/2021] [Indexed: 06/13/2023]
Abstract
We provide an open-source user-friendly graphical-user interface software in a MATLAB environment, named Speckle Analyzer, as a tool for calculating and analyzing statistical parameters of a laser speckle pattern to find metrics for an object's physical quantity. The first- and second-order statistical functions containing gray-level co-occurrence and gray-level run-length matrices and speckle grains geometrical properties are included in Speckle Analyzer. To validate the software's operation, statistical parameters of the laser speckle pattern, to find metrics for the size and concentration of particles suspended in liquid, are investigated.
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Volatile anesthetic gas concentration sensing using flow sensor fusion for use in Austere settings. J Clin Monit Comput 2021; 36:725-733. [PMID: 33914229 DOI: 10.1007/s10877-021-00700-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 03/29/2021] [Indexed: 10/21/2022]
Abstract
Flow sensors are often sensitive to the presence of volatile anesthetics. However, this sensitivity provides a unique opportunity to combine flow sensors of differing technological principles as an alternative to measuring volatile anesthetic gas concentration, particularly for austere settings. To determine the feasibility of flow sensor fusion for volatile anesthetic concentrations monitoring, eight flow sensors were tested with isoflurane, sevoflurane, and desflurane, ranging in concentrations from 0-4.5%, 0-3.5%, and 0-18%, respectively. Pairs of flow sensors were fit to the volatile anesthetic gas concentration with a leave-one-out cross-validation method to reduce the likelihood of overfitting. Bland-Altman was used for the final evaluation of sensor pair performance. Several sensor pairs yielded limits of agreement comparable to the rated accuracy of a commercial infrared spectrometer. The ultrasonic and orifice-plate flowmeters yielded the most combinations of viable sensor pairs for all three volatile anesthetic gases. Conclusion: Measuring volatile anesthetic gases using flow sensor fusion is a feasible low-cost, low-maintenance alternative to infrared spectroscopy. In this study, testing was done under steady-state conditions in 100% oxygen. Further testing is necessary to ensure sensor fusion performance under conditions that are more reflective of the clinical use case.
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Vasan A, Weekes R, Connacher W, Sieker J, Stambaugh M, Suresh P, Lee DE, Mazzei W, Schlaepfer E, Vallejos T, Petersen J, Merritt S, Petersen L, Friend J. MADVent: A low-cost ventilator for patients with COVID-19. ACTA ACUST UNITED AC 2020; 3:e10106. [PMID: 32838208 PMCID: PMC7300530 DOI: 10.1002/mds3.10106] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 05/25/2020] [Accepted: 05/26/2020] [Indexed: 01/08/2023]
Abstract
The COVID‐19 pandemic has produced critical shortages of ventilators worldwide. There is an unmet need for rapidly deployable, emergency‐use ventilators with sufficient functionality to manage COVID‐19 patients with severe acute respiratory distress syndrome. Here, we show the development and validation of a simple, portable and low‐cost ventilator that may be rapidly manufactured with minimal susceptibility to supply chain disruptions. This single‐mode continuous, mandatory, closed‐loop, pressure‐controlled, time‐terminated emergency ventilator offers robust safety and functionality absent in existing solutions to the ventilator shortage. Validated using certified test lungs over a wide range of compliances, pressures, volumes and resistances to meet U.S. Food and Drug Administration standards of safety and efficacy, an Emergency Use Authorization is in review for this system. This emergency ventilator could eliminate controversial ventilator rationing or splitting to serve multiple patients. All design and validation information is provided to facilitate ventilator production even in resource‐limited settings.
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Affiliation(s)
- Aditya Vasan
- Medically Advanced Devices Laboratory Center for Medical Devices Department of Mechanical and Aerospace Engineering Jacobs School of Engineering and Department of Surgery School of Medicine University of California San Diego La Jolla CA 92093 USA
| | - Reiley Weekes
- Medically Advanced Devices Laboratory Center for Medical Devices Department of Mechanical and Aerospace Engineering Jacobs School of Engineering and Department of Surgery School of Medicine University of California San Diego La Jolla CA 92093 USA
| | - William Connacher
- Medically Advanced Devices Laboratory Center for Medical Devices Department of Mechanical and Aerospace Engineering Jacobs School of Engineering and Department of Surgery School of Medicine University of California San Diego La Jolla CA 92093 USA
| | - Jeremy Sieker
- School of Medicine University of California San Diego La Jolla CA 92093 USA
| | - Mark Stambaugh
- Qualcomm Institute University of California San Diego La Jolla CA 92093 USA
| | - Preetham Suresh
- Department of Anaesthesiology School of Medicine University of California San Diego La Jolla CA 92093 USA
| | - Daniel E Lee
- Department of Anaesthesiology and Department of Paediatrics School of Medicine University of California San Diego La Jolla CA 92093 USA
| | - William Mazzei
- Department of Anaesthesiology School of Medicine University of California San Diego La Jolla CA 92093 USA
| | | | - Theodore Vallejos
- Department of Respiratory Care School of Medicine University of California San Diego La Jolla CA 92093 USA
| | - Johan Petersen
- Department of Anaesthesiology School of Medicine University of California San Diego La Jolla CA 92093 USA
| | - Sidney Merritt
- Department of Anaesthesiology School of Medicine University of California San Diego La Jolla CA 92093 USA
| | - Lonnie Petersen
- Medically Advanced Devices Laboratory Center for Medical Devices Department of Mechanical and Aerospace Engineering Jacobs School of Engineering and Department of Radiology School of Medicine University of California San Diego La Jolla CA 92093 USA
| | - James Friend
- Medically Advanced Devices Laboratory Center for Medical Devices Department of Mechanical and Aerospace Engineering Jacobs School of Engineering and Department of Surgery School of Medicine University of California San Diego La Jolla CA 92093 USA
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