2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)最新文献_第2页

Length of Stay Analysis at Neonatal Care Units with Data Science - Preliminary Results 用数据科学分析新生儿护理单位的住院时间——初步结果

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478748

J. Cordeiro, O. Postolache

{"title":"Length of Stay Analysis at Neonatal Care Units with Data Science - Preliminary Results","authors":"J. Cordeiro, O. Postolache","doi":"10.1109/MeMeA52024.2021.9478748","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478748","url":null,"abstract":"The paper presents preliminary results to the length-of-stay (LOS) analysis on neonatal intensive care units, taking as base a 10 year dataset that encompasses data from all neonatal Portuguese units. Unlike conventional studies based on statistical analysis, this investigation uses data science techniques, including machine learning hyperparameters optimization automatization and explainable artificial intelligence (XAI) tools, to understand the relevance of factors and their impact on LOS. In this work was designed and implemented an accurate LOS prediction model which results have been included in the paper. Through XAI techniques application, it was already possible to confirm insights claimed by state-of-the-art studies, namely about the importance of birth weight and gestational age for LOS as well as the importance of hospital-acquired infections. The work presents as novelty the weights (quantification) of these factors as well as the introduction of two new factors, which were not considered until now. The study makes part of ongoing work and will continue to provide better insights for better investment LOS in neonatal care units.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124842378","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

Characterizing On-Road Vibrations in Ontario’s Neonatal Patient Transport 表征安大略省新生儿病人运输的道路振动

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478679

F. Darwaish, S. Redpath, K. Greenwood, C. Aubertin, A. Ibey, A. Chan, J. Green, R. Langlois

引用次数: 1

A novel Sensitivity Index from the Flow Velocity Variation in Quality Control for PW Doppler: a preliminary study 一种新的PW多普勒质量控制中流速变化灵敏度指标的初步研究

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478686

Giorgia Fiori, Fabio Fuiano, A. Scorza, M. Schmid, J. Galo, S. Conforto, S. Sciuto

{"title":"A novel Sensitivity Index from the Flow Velocity Variation in Quality Control for PW Doppler: a preliminary study","authors":"Giorgia Fiori, Fabio Fuiano, A. Scorza, M. Schmid, J. Galo, S. Conforto, S. Sciuto","doi":"10.1109/MeMeA52024.2021.9478686","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478686","url":null,"abstract":"In recent years, the scientific community highlighted how the combination of the progressive evolution of the Ultrasound (US) technologies and the difficulties in retrieving a fixed number of Quality Control (QC) parameters to assess US equipment performance represents a burden in the definition of a shared worldwide standard. Consequently, this preliminary study introduces and investigates a novel parameter for Pulsed Wave (PW) Doppler QC, namely the Average Maximum Velocity Sensitivity (AMVS). The mathematical expression of the parameter hereby presented has a differential nature that prevents AMVS from being dependent on the insonification angle, which is a commonly accepted systematic error source for the accuracy in the PW Doppler maximum velocity estimation. Data have been acquired from three US systems of intermediate technology level, each one equipped with a phased array US probe. Tests have been performed with two different US system settings and two constant flow rate regimes set on a Doppler flow phantom. Despite the limitations encountered, from the results AMVS emerged as a promising parameter for the assessment of US sensitivity. Therefore, further studies are going to be conducted with different Doppler phantom models, on a higher number of US diagnostic systems and probes.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127220642","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: 5

A smart face mask based on photoplethysmography for cardiorespiratory monitoring in occupational settings 一种基于光电容积脉搏图的智能面罩，用于职业环境下的心肺监测

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478599

Riccardo Sabbadini, J. D. Tocco, C. Massaroni, E. Schena, M. Carassiti

{"title":"A smart face mask based on photoplethysmography for cardiorespiratory monitoring in occupational settings","authors":"Riccardo Sabbadini, J. D. Tocco, C. Massaroni, E. Schena, M. Carassiti","doi":"10.1109/MeMeA52024.2021.9478599","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478599","url":null,"abstract":"In recent years, the market dedicated to wearable devices has undergone a strong expansion due to the increasingly development of innovative and personalized technologies for monitoring vital parameters. The COVID-19 pandemic has led the change in daily habits through the introduction of personal protective equipment (e.g., face mask) into everyday routine. The use of an instrumented face mask to monitor heart rate (HR) and respiratory rate (RR) of workers in occupational settings may be useful to better understand the physiological conditions and the presence of environmental and physical stressors.Among many methods used to estimate these two vital signs, photoplethysmography has gained broad acceptance in the scientific community. Several sites have been used to place the photoplethysmographic sensor (e.g., ear lobe and finger-tip) to estimate the above-mentioned physiological parameters. In this paper, we proposed a smart face mask (SFM) instrumented by a photoplethysmographic sensor. This configuration is particularly adequate to be used in those occupational settings which require the use of common input peripherals (e.g., mouse and keyboard) which prompt to fast movement of hands and fingers, limiting the performance of common measurement systems (e.g., smartwatches) due to motion artifacts. The proof of concept of SFM has been conducted by mimicking conditions close to the mentioned occupational settings through the use of a low computational power algorithm. The proposed system showed promising results by returning values in agreement with the reference system mimicking RR in a wide range of values.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122351853","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: 4

A 300mV-Supply, 144nW-Power, 0.03mm2-Area, 0.2-PEF Digital-Based Biomedical Signal Amplifier in 180nm CMOS 一种300mv电源，144nw功率，0.03mm2-Area, 0.2 pef的180nm CMOS数字生物医学信号放大器

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478709

P. Toledo, H. Klimach, S. Bampi, P. Crovetti

引用次数: 0

Statistical Analysis of Mental Stress During Oral Presentation 口头陈述时精神压力的统计分析

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478721

A. A. Raj, Vaishali Balakarthikeyan, Deepak Vagish, S. Vijayarangan, S. Preejith, M. Sivaprakasam

{"title":"Statistical Analysis of Mental Stress During Oral Presentation","authors":"A. A. Raj, Vaishali Balakarthikeyan, Deepak Vagish, S. Vijayarangan, S. Preejith, M. Sivaprakasam","doi":"10.1109/MeMeA52024.2021.9478721","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478721","url":null,"abstract":"An oral presentation is a key stressor in a work environment. High levels of stress might abruptly decrease the quality and quantity of information that needs to be delivered to the audience. So it is important to analyze the person’s stress levels and regulate their stress condition for a better result in their delivery of a speech. Heart Rate Variability (HRV) derived from Electrocardiogram (ECG) is a well-established measure for stress analysis of an individual. To analyse stress, ECG data were collected during an oral presentation from 44 subjects. Frequency domain spectral analysis was done to classify the stress regions. The ratio of the Low Frequency to High Frequency (LF/HF) parameter, a widely accepted method of HRV analysis, was calculated every 5 minutes throughout the entire data. The ECG data were collected for 8 hours during the day. The primary statistical analysis was done to understand the patterns and changes that gets reflected due to this activity. 4:30 to 5:30 PM was the time in which the oral presentation was made each ranging from 15 to 25 minutes. Statistical analysis was done for comparison between the oral presentation period and the other time periods. An increase in the LF/HF ratio was observed during the oral presentation. Variations in the median and standard deviation were observed in both data sets. Analysis of variance was done to understand the variation in the subgroup of the data. A comparison box and whisker plot representation is done to show the distribution, its central value and variability between male and female subjects. The distribution was found to be wider for male subjects compared to female subjects. The standard deviation of LF/HF ratio during the oral presentation was significantly higher than during normal working hours. Also, subjects were requested to answer a short questionnaire to understand the cause of mental stress and the results were discussed.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130649723","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: 2

Hydrogen chemoresistive sensor for the analysis of gut health 用于肠道健康分析的氢化学电阻传感器

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478669

A. Gullino, S. Grassini, G. Gugliandolo, K. Moulaee, N. Donato, M. Parvis, L. Lombardo

引用次数: 0

Location Independence in Machine Learning Classification of Sitting-Down and Standing-Up Actions using Wi-Fi Sensors 基于Wi-Fi传感器的坐下和站起来动作机器学习分类中的位置独立性

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478778

I. O. Joudeh, Ana-Maria Creţu, R. B. Wallace, R. Goubran, M. Allegue-Martínez, F. Knoefel

{"title":"Location Independence in Machine Learning Classification of Sitting-Down and Standing-Up Actions using Wi-Fi Sensors","authors":"I. O. Joudeh, Ana-Maria Creţu, R. B. Wallace, R. Goubran, M. Allegue-Martínez, F. Knoefel","doi":"10.1109/MeMeA52024.2021.9478778","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478778","url":null,"abstract":"The recognition of human activities in real-time remains an important challenge to enable supportive residential well-being assessments. In this paper, we measure and assess patterns associated with dynamic human activities, such as the actions of sitting-down and standing-up, by analyzing Wi-Fi channel state information. Two Wi-Fi sensors are used to capture information about a person’s activities within a limited space. The effect of sensor location and activity location within the space are assessed to study the independence of the proposed solution with respect to these factors. From the acquired data, feature vectors of 168 variables of kurtosis, maximum, maximum peak, mean, minimum, skew, standard deviation, and variance values are calculated. Traditional classifiers are evaluated for the prediction of dynamic sitting and standing activities. Results obtained demonstrate a classification accuracy of 98.5% using a medium Gaussian support vector machine. Deep learning using a bidirectional long short-term memory network is also tested for sequence-to-label and sequence-to-sequence classification from time series of statistical measures. These models achieved accuracies of 90.7% and 85.1%, respectively. The proposed feature extraction and applied classification demonstrate the ability of our solution to not only differentiate between static and motion activities, but also distinguish between the similar motions of standing-up and sitting-down. Therefore, this work goes beyond the state-of-the-art that generally focuses on detecting motion, not distinguishing between similar movements by subjects.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125399616","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: 3

Capacitive Link for Data Communication Between Free Floating mm-sized Brain Implants 在自由浮动的毫米大小的大脑植入物之间进行数据通信的电容链路

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478592

Xiao Sha, PuYang Zheng, Yasha Karimi, M. Stanaćević

引用次数: 0

Comparison of Software Packages for the Analysis of Continuous Glucose Monitoring Data 连续血糖监测数据分析软件包的比较

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2021-06-23 DOI: 10.1109/MeMeA52024.2021.9478698

Agnese Piersanti, Francesco Giurato, L. Burattini, A. Tura, M. Morettini

{"title":"Comparison of Software Packages for the Analysis of Continuous Glucose Monitoring Data","authors":"Agnese Piersanti, Francesco Giurato, L. Burattini, A. Tura, M. Morettini","doi":"10.1109/MeMeA52024.2021.9478698","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478698","url":null,"abstract":"The use of Continuous Glucose Monitoring (CGM) systems in the management of diabetes is rapidly growing and represents an eligible technology to overcome the limitations of self-monitoring of blood glucose. However, not complete standardization of the CGM data analyses methodologies is limiting the potential of these devices. In the last few years, different software solutions have been proposed to find a common pattern for making CGM data analysis results more interpretable and reproducible. The aim of this study was to compare two of the newest open-source software packages available for CGM data analysis, GLU and iglu. To perform the comparison, CGM data of 9 subjects with type 1 diabetes coming from the open D1NAMO dataset have been analyzed with both software. Metrics available both in GLU and iglu have been compared, namely: Area Under the Curve (AUC), Time Above Range (TAR), Time Below Range (TBR), Time in Range (TIR) and Mean Absolute Deviation (MAD). Mean values for GLU and iglu were: AUC (170 ± 23 vs. 165 ± 27 mg•dl-1); TAR (40 ± 17 vs. 38 ± 21 %); TBR (6 ± 7 % in both); TIR (54 ± 18 vs. 60 ± 21 %), MAD (43 ± 20 vs. 67 ± 28 mg•dl-1). Only MAD was found statistically different between GLU and iglu. In conclusion, this comparison provided an overview of the graphical and computational aspects in CGM analysis provided by GLU and iglu software packages, which could be useful to researchers and clinicians to find a transparent and consistent way of interpreting CGM data.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125126489","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: 2