2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)最新文献_第2页

Wearable sweat sensing device determining sweat rate per gland 测定每个腺体排汗率的可穿戴式汗液传感装置

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171867

Sevda Malek Kani, Ruben Marteijn, E. Pelssers, J. M. J. Toonder

{"title":"Wearable sweat sensing device determining sweat rate per gland","authors":"Sevda Malek Kani, Ruben Marteijn, E. Pelssers, J. M. J. Toonder","doi":"10.1109/MeMeA57477.2023.10171867","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171867","url":null,"abstract":"Patient monitoring is an established method in healthcare, guarding the health status of patients by recording vital signs. The inclusion of sweat sensing in patient monitoring provides prominent opportunities since sweat contains physiologically and metabolically rich information about the patient. Sweat can be non-obtrusively obtained and could therefore enable continuous biomarker measurement. However, for several biomarkers, the concentration not only depends on a disorder but also on the sweat rate per gland and this is a major challenge for the clinical use of sweat sensing. In this work, we developed a sensing device framework, based on an innovative statistical analysis, capable of determining the average sweat rate per gland without a-priori knowledge of the number of glands. The statistical analysis can be adapted for various sweat rates and sweat gland densities. For a gland density of 0.1 glands$.mathrm{mm}^{-2}$, a first prototype based on an open microfluidic structure has been fabricated. The prototype sweat collection device is fabricated by femtosecond laser machining of fused silica substrates, followed by a wet etching step. The prototype is tested by different flow rates of DI water that are supplied to it. The experiment shows that the design is capable of collecting and transporting low volumes of sweat as excreted by persons in a sedentary state.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131488457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ECG Multi Class Classification Using Machine Learning Techniques 基于机器学习技术的心电多类分类

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171887

Vijayeskar Kumar, S. kumar, K. K. Raj, M. Assaf, V. Groza, Rahul Kumar

{"title":"ECG Multi Class Classification Using Machine Learning Techniques","authors":"Vijayeskar Kumar, S. kumar, K. K. Raj, M. Assaf, V. Groza, Rahul Kumar","doi":"10.1109/MeMeA57477.2023.10171887","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171887","url":null,"abstract":"This paper presents a project focused on utilizing Artificial Intelligence (AI) tools to improve the process of diagnosing heart diseases. The research indicates that 10 to 15 percent of Pacific Islanders are diagnosed with at least one form of heart disease, leading to around 20,000 deaths annually. The proposed project uses the Physio net database and ECG signals of 162 patients to design a multi-class classification method that accurately recognizes different patterns under 3 classes, namely, Arrhythmia (ARR), Congestive Heart Failure (CHF), and Normal Sinus Rhythm (NSR). The study utilizes two feature extraction methods, Continuous Wavelet Transform, and Wavelet Scattering, to extract the principal characteristics from the ECG data. MATLAB Software is used to train three models, an AlexNet Model, an SVM Model, and an LSTM Model, to diagnose cardiovascular diseases and their severity. The results of the different classification methods showed that the SVM Model had the best performance with a classification accuracy of 98%. This project offers a dependable and effective diagnostic tool for the diagnosis of heart diseases with a minimized risk of human error. Additionally, it has the potential to serve as a valuable resource for future studies in the medical field aimed at enhancing cardiovascular disease diagnosis and treatment.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130773649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Photoplethysmograph-Based Device for Carotid Femoral Pulse Wave Velocity Measurement: Inter and Intraoperator Study 一种基于光电容积描记仪的颈动脉股动脉脉搏波速度测量装置:手术间和手术内研究

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171895

S. Ishwary, M. Shankar, V. Raj Kiran, P. Nabeel, J. Joseph

{"title":"A Photoplethysmograph-Based Device for Carotid Femoral Pulse Wave Velocity Measurement: Inter and Intraoperator Study","authors":"S. Ishwary, M. Shankar, V. Raj Kiran, P. Nabeel, J. Joseph","doi":"10.1109/MeMeA57477.2023.10171895","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171895","url":null,"abstract":"Arterial stiffness, a proxy of vascular aging is an important marker of cardiovascular events and mortality that is independent of traditional risk factors. The carotid-femoral pulse wave velocity (cf-PWV) is the gold standard for non-invasive assessment of arterial stiffness. Measuring arterial stiffness can aid in the early detection of people who are at risk. State-of-the-art devices, majorly employing applanation tonometry at the carotid site demand extensive skill, are expensive, and are not amenable for routine or out-of-clinic usage. To address this gap, we have developed a novel easy-to-use, fully automated, and affordable photoplethysmography-based (PPG) device for measuring pulse signals from the carotid artery and cuff with a sensor to measure pulse signals from the femoral artery. An in-vivo inter and intra-operator study was conducted on 15 subjects to investigate the repeatability and reproducibility of measurements furnished by the device. The device could simultaneously acquire pulse signals from carotid and femoral arteries. The beat-to-beat PWV obtained by operator A and operator B was less than 7% and 12.2% respectively. The intra- and inter-operator measurements demonstrated excellent repeatability (ICC > 0.89). Future studies in this regard include establishing the device’s accuracy against gold standard reference and deeming it suitable for clinical and field deployment.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133346136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Measurement of Local Pulse Wave Velocity: Agreement Among Various Methodologies 局部脉冲波速度的测量:不同方法之间的一致

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171907

Rahul Manoj, V. R. Kiran, S. Ponkalaivani, P. Nabeel, M. Sivaprakasam, J. Joseph

{"title":"Measurement of Local Pulse Wave Velocity: Agreement Among Various Methodologies","authors":"Rahul Manoj, V. R. Kiran, S. Ponkalaivani, P. Nabeel, M. Sivaprakasam, J. Joseph","doi":"10.1109/MeMeA57477.2023.10171907","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171907","url":null,"abstract":"The local pulse wave velocity (PWV) is the velocity with which the arterial pulse wave travels from the left ventricle to the vascular bed. Local PWV is clinically significant as a prognostic indicator of vascular damage. The measurement of local PWV involves several direct and indirect methods. However, there are limited studies that compare agreement among different methodologies. In this work, we investigated the agreement among several methods of measurement of PWV, such as the haemodynamic loop-based, Bramwell-Hill, transit-time-based and computational models of PWV. A small cohort of 35 participants (21male/14 female) aged between 21 and 51 years was recruited on voluntary consent. The measurement setup included duplex mode recording of carotid diameter and flow velocity waveforms from an ultrasound machine and simultaneous acquisition of dual-diameter waveforms and tonometry waveforms using an in-house developed bi-modal arterial probe. The carotid pressure waveform, flow velocity and dual diameter waveforms for evaluating the various methods of PWV measurement were obtained from the data processing. The group average value of PWV were obtained between 3.07±1.17m/s to 5.02±1.00m/s for various methods. The lowest and the highest group average PWV was reported using the haemodynamics-loop-based methods. There exists a strong and statistically significant correlation among PWV obtained using Bramwell-Hill equations and computational models (r>0.91, p<0.001), whereas a moderate and statistically significant correlation was observed between Bramwell-Hill and transit-time-based methods (r=0.67, p<0.001). The correlation was poor between Bramwell-Hill and loop-based methods (r~0.2, p<0.001). The study confirms the variations in the measurements in PWV using different methods and suggests their interchangeable usage is not advised.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131880215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimation of blood glucose levels by sweat sensing based on biophysical modeling of glucose transport 基于葡萄糖运输生物物理模型的汗液传感血糖水平估计

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171952

Xiaoyu Yin, Elisabetta Peri, E. Pelssers, J. M. J. Toonder, M. Mischi

{"title":"Estimation of blood glucose levels by sweat sensing based on biophysical modeling of glucose transport","authors":"Xiaoyu Yin, Elisabetta Peri, E. Pelssers, J. M. J. Toonder, M. Mischi","doi":"10.1109/MeMeA57477.2023.10171952","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171952","url":null,"abstract":"Monitoring glucose concentration in sweat might represent a non-invasive alternative to traditional invasive blood sampling for diabetic patients. The relationship between glucose concentration in blood and in sweat is largely unknown, and methods that can estimate blood glucose levels from measured sweat glucose levels are crucial. In this paper, we present a novel method that was developed by first estimating sweat glucose concentration from blood inputs. Such a method builds on a sweat gland model proposed by La Count et al., additionally considering the dilution effect of different sweat rates between the interstitial space and sweat glands on glucose concentration. The sweat glucose concentration estimated by our model shows an average root mean square percentage error (RMSPE = 11%± 6%), smaller than the original model (RMSPE=21%± 9%). This enables a more accurate estimation of the relationship between glucose levels in sweat and blood. Secondly, solving the inverse problem by an iterative optimization method, we obtained the average RMSPE of blood glucose concentration estimated from the sweat glucose concentration equal to 16.7%± 9.2%. These results show satisfactory prediction accuracy. Our study is the first to realize the estimation of blood glucose changes with high precision based on known sweat glucose concentrations. Furthermore, this research could be significant for the implementation of semi-continuous and prolonged diabetes monitoring by sweat sensing technology.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117289321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Electrochemical Characterization of Flexible Interdigitated Electrodes for Hydration Monitoring 水化监测用柔性交叉电极的电化学表征

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171901

L. Iannucci, S. Longombardo, L. Lombardo, M. Parvis, Sarah Tonello, Alessandra Galli, S. Grassini

{"title":"Electrochemical Characterization of Flexible Interdigitated Electrodes for Hydration Monitoring","authors":"L. Iannucci, S. Longombardo, L. Lombardo, M. Parvis, Sarah Tonello, Alessandra Galli, S. Grassini","doi":"10.1109/MeMeA57477.2023.10171901","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171901","url":null,"abstract":"The use of flexible interdigitated electrodes has in-creased significantly over the last years thanks to the development and optimization of innovative production techniques which allow to realise tailored sensors geometries. Actually, interdigitated geometry improves the measurement sensitivity and allows to use small sample volumes. This is of particular interest in biomedical applications, where the possibility to have a substrate that conforms to the body is crucial to obtain reliable results. In this context, impedimetric sensors can offer important applications both in measuring analytes concentration and in monitoring skin hydration, a medical parameter of paramount importance for many patients. The development of wearable sensors can open new possibilities in the field of telemedicine to monitor patients also outside of the hospitals and thus to prevent critical situations. This study provides a comprehensive electrochemical characterization of flexible interdigitated electrodes produced by inkjet printing. The cell constant value is computed by experimental measurements in saline solutions and then their use for hydration monitoring by impedance measurements is shown by in-vitro experiments using agar gel samples. The use of equivalent electrical circuits to model the experimental data allowed to fully describe the electrochemical system, identifying the frequency ranges which are relevant for the proposed application.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120846010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sources of error during inertial sensing of human movement: a critical review of the fundamentals 人体运动惯性传感中的误差来源:对基本原理的批判性回顾

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171885

K. Beange, A. Chan, R. Graham

{"title":"Sources of error during inertial sensing of human movement: a critical review of the fundamentals","authors":"K. Beange, A. Chan, R. Graham","doi":"10.1109/MeMeA57477.2023.10171885","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171885","url":null,"abstract":"Inertial assessments of human movement have potential to support diagnosis and treatment of neuromuscular disorders in healthcare settings. Despite the potential advantages, uptake and acceptance by healthcare professionals are still a challenge, as inertial measurement units are prone to measurement errors due to inherent limitations with the technology. As such, full exploitation is limited to a small group of highly qualified personnel. For usage to be more ubiquitous, standard practices for acquiring high-quality data are required and should include methods for error avoidance, detection, identification, quantification, and mitigation. In this paper, a critical review of sources of error was conducted, from which a taxonomic error classification framework was developed. From this review, it has become apparent which sources of error carry the highest risk for impacting data quality. Methods for error mitigation have been identified, along with limitations and areas for improvement. This framework is intended to serve as a useful reference for both proficient and non-proficient users to ensure all sources of error are considered when developing and interpreting IMU-based assessments. It also provides a foundation for developing standard practices to help users efficiently and reliably acquire high-quality data, which is imperative for uptake and acceptance in healthcare settings.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125937261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing Driver Engagement Through Machine Learning Classification of Physiological Measures 通过机器学习分类生理测量评估驾驶员参与

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171860

A. Lochbihler, Bruce Wallace, Kathleen Van Benthem, C. Herdman, Willona M. Sloan, Kirsten Brightman, Josh Goheen, F. Knoefel, S. Marshall

{"title":"Assessing Driver Engagement Through Machine Learning Classification of Physiological Measures","authors":"A. Lochbihler, Bruce Wallace, Kathleen Van Benthem, C. Herdman, Willona M. Sloan, Kirsten Brightman, Josh Goheen, F. Knoefel, S. Marshall","doi":"10.1109/MeMeA57477.2023.10171860","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171860","url":null,"abstract":"The assessment to determine if drivers are engaged and supervising autonomous and semi-autonomous vehicles (AV) is becoming an increasingly important task. AVs are becoming more prevalent on the road and adequate driver engagement is a must for safe operation. The full adoption of level 5 vehicles will likely take many years as they do not currently exist for consumer purchase and before this happens the roads will see a mix of level 0-4 vehicles. During this time humans will still be responsible for taking control of the vehicle if a hazardous scenario occurs and the AV does not know how to maneuver around. To have a safe handover from AV to human during these situations the driver must maintain a level of engagement even while the AV is driving. To do this physiological sensors can be used to measure signals such as heart rate and respiration rate, which are known indicators of a driver’s engagement. This paper exposes drivers to non-surprise and surprise driving scenarios to assess if attentive drivers can be identified from physiological changes for manual and AV driving. Machine learning (ML) is used to understand the patterns of physiological signals and classify when a driver is engaged during a surprise scenario. Finally, the ML models show a successful ability to classify engaged versus non-engaged drivers with a 73.3% accuracy in manual driving scenarios, 86.7% accuracy in AV, and 70.0% accuracy when the data from both driving scenarios are combined showing the model’s ability to generalize.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128526838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A U-Net-Based System for Cine Cardiac Segmentation on MR Images: The Effect of Fuzzy Pooling Layer Type 基于u - net的MR图像心脏分割系统:模糊池化层类型的影响

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171873

Riandini, T. A. Sardjono, K. Purnama, E. M. Yuniarno, M. Purnomo

{"title":"A U-Net-Based System for Cine Cardiac Segmentation on MR Images: The Effect of Fuzzy Pooling Layer Type","authors":"Riandini, T. A. Sardjono, K. Purnama, E. M. Yuniarno, M. Purnomo","doi":"10.1109/MeMeA57477.2023.10171873","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171873","url":null,"abstract":"Despite the significant advancements in its treatment, cardiovascular disease remains a major cause of illness and death globally, including Indonesia, creating a major financial drain. To support the identification of this disease, biomedical image segmentation, including cine cardiac MRI, is increasingly being used to automatically extract important functional parameters from MRI scans of the heart. Convolutional neural networks (CNN), particularly the U-Net architecture, have become popular for this task. However, traditional max pooling operations used in CNNs for image segmentation can lead to the loss of spatial information and sensitivity to small changes in the input image, potentially limiting the network’s generalization ability. To address these limitations, this paper proposes an optimized modified U-Net neural network model with a fuzzy pooling layer extension. The fuzzy pooling considers all values within a pooling region, assigning weights based on their distance from the maximum value to preserve spatial information and reduce sensitivity to small input changes. Based on the experiment, the fuzzy pooling technique outperforms the max pooling technique for cine cardiac MRI image segmentation. The fuzzy pooling technique resulted in higher IoU values of 93.429% for End-Diastole and 85.802% for End-Systole, and smaller Hausdorff distance of 3.0 for End-Diastole and 3.1622 for End-Systole, indicating better accuracy. The proposed approach is expected to improve the effectiveness of automated image segmentation for diagnosing cardiovascular disease, which ultimately leads to better outcomes for patients.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128758298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Portable Non-Invasive Ventilator for Homecare and Patients Monitoring System 家庭护理用便携式无创呼吸机及患者监测系统

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171872

M. Menniti, G. Oliva, F. Laganá, M. G. Bianco, A. Fiorillo, S. Pullano

{"title":"Portable Non-Invasive Ventilator for Homecare and Patients Monitoring System","authors":"M. Menniti, G. Oliva, F. Laganá, M. G. Bianco, A. Fiorillo, S. Pullano","doi":"10.1109/MeMeA57477.2023.10171872","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171872","url":null,"abstract":"The Coronavirus pandemic has put a wider pressure on all health care systems, highlighting their technological shortcomings. A typical clinical feature of the Coronavirus outbreak and related infections is the severe acute respiratory syndrome (SARS), with profound hypoxemia and dyspnea, often requiring intubation and mechanical ventilation. Even today, after approximately three years, continuous efforts are provided to reduce the lack of suitable devices to support the breathing of patients with respiratory failures in all circumstances. Hereafter, we proposed a portable, noninvasive mechanical ventilator for use in home applications. The prototype provides a proof of concept of a simple noninvasive ventilator (NIV) for home treatment. It is based on a mechanical flow generator, a microcontroller, two calorimetric flow sensors, and a pyroelectric breathing sensor made in Polyvinylidene Fluoride (PVDF) integrated inside the delivery tool. The working principle is the generation of a bi-level positive pressure at predetermined levels by calibrating the airflow according to the inspiration/expiration phase. In case of low fraction of inspired oxygen, the NIV is endowed with an external oxygen line, to improve its levels. Moreover, a monitoring system was implemented to provide essential parameters and alert signals to medical personnel. The study aims to simplify and lighten the healthcare system by using devices and applications that can be easily operated by the patients themselves.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126472829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0