Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856540
J. Dolcini, S. Gomez-Montes, Raquel Obregón, Marck Collado, F. Barbabella, C. Chiatti, F. Tessarolo
Cultural methods, although time consuming, are still the gold standard for the microbial detection, combining high sensitivity and specificity. Vibrational spectroscopies, such as Raman spectroscopy, have been recently proposed as an alternative, being label-free, non-invasive, and highly specific. This study aimed to evaluate the accuracy of a new technology (AMR-S3DP, Sens Solutions, Barcelona, Spain) based on Raman spectroscopy to detect the presence of three clinically relevant multidrug resistant pathogens (Clostridium difficile, Klebsiella pneumoniae and methicillin resistant Staphylococcus aureus). Different machine learning strategies for analyzing the collected Raman spectra were compared to find a solution trading-off between accuracy and computational cost. Experimental datasets were collected in controlled conditions using pure cultures of the three microorganisms of interest. Then, nine state-of-the-art classifiers and several instances of a Multi-Layer Perceptron Neural Network were trained and tested using the dataset. Three experiments were ran: (i) classification of only the three bacteria strains, (ii) classification of the three bacteria strains and the absence of bacteria, (iii) the same settings with standardized and normalized data. All the experiments were performed following a 10-Fold stratified Cross-validation approach. Tested methods included: Logistic regression, Nearest Neighbor Classifier, Support vector machines, Gaussian process, Decision Trees, Random Forest, Boosting, and Quadratic Classifier Naïve Bayes. Data distributions were highly nonlinear, nevertheless, Gaussian Process and Logistic Regression clearly outperformed the other tested methods when training and testing data sets were normalized and standardized. Gaussian Processes failed in providing a competitive solution to be executed in low-cost devices, being several orders of magnitude slower than Logistic Regression. With the most performant analytical method, a precision >94% and a recall rate >95% was obtained for all the three microorganisms of interest, making the system suitable to detect MDR pathogens and competitive with current gold standard techniques in term of time to detection.
培养法虽然耗时，但具有较高的灵敏度和特异性，仍然是微生物检测的金标准。振动光谱，如拉曼光谱，最近被提出作为一种替代方法，无标签，非侵入性和高度特异性。本研究旨在评估一种基于拉曼光谱的新技术(AMR-S3DP, Sens Solutions, Barcelona, Spain)检测三种临床相关多药耐药病原体(艰难梭菌、肺炎克雷伯菌和耐甲氧西林金黄色葡萄球菌)的准确性。比较了用于分析收集的拉曼光谱的不同机器学习策略，以找到在精度和计算成本之间权衡的解决方案。实验数据集收集在受控条件下使用纯培养感兴趣的三种微生物。然后，使用该数据集训练和测试了9个最先进的分类器和多层感知器神经网络的几个实例。进行三种实验:(i)仅对三种细菌进行分类，(ii)对三种细菌进行分类和不含细菌，(iii)采用标准化和规范化数据进行相同设置。所有实验均采用10倍分层交叉验证方法进行。测试方法包括:逻辑回归，最近邻分类器，支持向量机，高斯过程，决策树，随机森林，增强和二次分类器Naïve贝叶斯。数据分布是高度非线性的，然而，当训练和测试数据集被归一化和标准化时，高斯过程和逻辑回归明显优于其他测试方法。高斯过程无法在低成本设备上提供有竞争力的解决方案，比逻辑回归慢几个数量级。使用最高效的分析方法，对所有三种感兴趣的微生物获得了精密度>94%和召回率>95%，使该系统适用于检测MDR病原体，并在检测时间方面与当前的金标准技术竞争。
{"title":"Accuracy of a novel Raman-based technology for the early detection of multidrug-resistant bacteria","authors":"J. Dolcini, S. Gomez-Montes, Raquel Obregón, Marck Collado, F. Barbabella, C. Chiatti, F. Tessarolo","doi":"10.1109/MeMeA54994.2022.9856540","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856540","url":null,"abstract":"Cultural methods, although time consuming, are still the gold standard for the microbial detection, combining high sensitivity and specificity. Vibrational spectroscopies, such as Raman spectroscopy, have been recently proposed as an alternative, being label-free, non-invasive, and highly specific. This study aimed to evaluate the accuracy of a new technology (AMR-S3DP, Sens Solutions, Barcelona, Spain) based on Raman spectroscopy to detect the presence of three clinically relevant multidrug resistant pathogens (Clostridium difficile, Klebsiella pneumoniae and methicillin resistant Staphylococcus aureus). Different machine learning strategies for analyzing the collected Raman spectra were compared to find a solution trading-off between accuracy and computational cost. Experimental datasets were collected in controlled conditions using pure cultures of the three microorganisms of interest. Then, nine state-of-the-art classifiers and several instances of a Multi-Layer Perceptron Neural Network were trained and tested using the dataset. Three experiments were ran: (i) classification of only the three bacteria strains, (ii) classification of the three bacteria strains and the absence of bacteria, (iii) the same settings with standardized and normalized data. All the experiments were performed following a 10-Fold stratified Cross-validation approach. Tested methods included: Logistic regression, Nearest Neighbor Classifier, Support vector machines, Gaussian process, Decision Trees, Random Forest, Boosting, and Quadratic Classifier Naïve Bayes. Data distributions were highly nonlinear, nevertheless, Gaussian Process and Logistic Regression clearly outperformed the other tested methods when training and testing data sets were normalized and standardized. Gaussian Processes failed in providing a competitive solution to be executed in low-cost devices, being several orders of magnitude slower than Logistic Regression. With the most performant analytical method, a precision >94% and a recall rate >95% was obtained for all the three microorganisms of interest, making the system suitable to detect MDR pathogens and competitive with current gold standard techniques in term of time to detection.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114857613","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}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856573
C. Bourelly, L. Ferrigno, G. Miele, G. Cerro
The radon concentration in the air is a crucial quantity to monitor because of its threats to human life, as its being a carcinogenic agent to humans according to 2012 pronunciation by the International Agency for Research on Cancer. To accurately analyze radon measurements, it is generally desirable to have joint temperature and humidity indications that can compose a full indication of the environmental state and provide an eventual compensation of the raw measurements by means of correction factors experimentally inferred, especially concerning humidity effects. To this aim, an integrated platform able to retrieve all cited measurements has been developed and characterized. While temperature and humidity measurement characterizations have been carried out by means of a reference climatic chamber, the radon concentration values have been compared with a commercial all-in-one calibrated platform. The developed system has also been network-enabled, providing it with an IoT typical data transfer capability, as the MQTT protocol, under Wi-Fi and cellular data communication hardware infrastructures. The obtained results, in terms of mean error with respect to the commercial platform, quantified in about 31 Bq/m3, comparable to the uncertainty of the developed platform, prove the suitability of the developed platform for being employed as a low cost, low power radon monitoring station. The developed platform can be used both for standalone applications and for geographically distributed monitoring centers.
{"title":"Environmental hazards for human health: a radon measurement IoT-enabled platform","authors":"C. Bourelly, L. Ferrigno, G. Miele, G. Cerro","doi":"10.1109/MeMeA54994.2022.9856573","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856573","url":null,"abstract":"The radon concentration in the air is a crucial quantity to monitor because of its threats to human life, as its being a carcinogenic agent to humans according to 2012 pronunciation by the International Agency for Research on Cancer. To accurately analyze radon measurements, it is generally desirable to have joint temperature and humidity indications that can compose a full indication of the environmental state and provide an eventual compensation of the raw measurements by means of correction factors experimentally inferred, especially concerning humidity effects. To this aim, an integrated platform able to retrieve all cited measurements has been developed and characterized. While temperature and humidity measurement characterizations have been carried out by means of a reference climatic chamber, the radon concentration values have been compared with a commercial all-in-one calibrated platform. The developed system has also been network-enabled, providing it with an IoT typical data transfer capability, as the MQTT protocol, under Wi-Fi and cellular data communication hardware infrastructures. The obtained results, in terms of mean error with respect to the commercial platform, quantified in about 31 Bq/m3, comparable to the uncertainty of the developed platform, prove the suitability of the developed platform for being employed as a low cost, low power radon monitoring station. The developed platform can be used both for standalone applications and for geographically distributed monitoring centers.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125618518","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}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856557
N. Morresi, P. Koowattanataworn, G. Amabili, Chih-Chun Lin, Yeh-Liang Hsu, R. Bevilacqua, H. Nap, G. M. Revel, S. Casaccia
This paper presents the development of a sensor network for measuring the well-being of people with dementia (PwD) and assessing the progression of the disease throughout the overall course of the dementia. To gain an insight into the overall well-being of a PwD, sensors can provide information about multiple aspects, such as the level of social, cognitive and physical activities and abilities. The proposed measurement system is minimally invasive and can be adapted to different built environments and allows to monitor human behavior under multiple aspects such as lifestyle monitoring, sleep analysis, social interaction, and human localization. The core technology of the chosen sensor network is made of a GPS tracker, a lifestyle monitoring sensor network, a social tablet and a smart mattress for sleep monitoring. These sensors collect data that built a heterogeneous dataset, that can be used in combination with artificial intelligence (AI) algorithms that can be trained to predict PwD well-being and extract more useful information, such as the progression of the dementia disease. The proposed solution is intended to reduce and support the workload of formal carers, since the progression of the dementia decreases PwD well-being, increases the caregiver burden and possibly decreases the quality of care.
{"title":"Heterogeneous sensor network for the measurement of dementia progression and well-being: preliminary study","authors":"N. Morresi, P. Koowattanataworn, G. Amabili, Chih-Chun Lin, Yeh-Liang Hsu, R. Bevilacqua, H. Nap, G. M. Revel, S. Casaccia","doi":"10.1109/MeMeA54994.2022.9856557","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856557","url":null,"abstract":"This paper presents the development of a sensor network for measuring the well-being of people with dementia (PwD) and assessing the progression of the disease throughout the overall course of the dementia. To gain an insight into the overall well-being of a PwD, sensors can provide information about multiple aspects, such as the level of social, cognitive and physical activities and abilities. The proposed measurement system is minimally invasive and can be adapted to different built environments and allows to monitor human behavior under multiple aspects such as lifestyle monitoring, sleep analysis, social interaction, and human localization. The core technology of the chosen sensor network is made of a GPS tracker, a lifestyle monitoring sensor network, a social tablet and a smart mattress for sleep monitoring. These sensors collect data that built a heterogeneous dataset, that can be used in combination with artificial intelligence (AI) algorithms that can be trained to predict PwD well-being and extract more useful information, such as the progression of the dementia disease. The proposed solution is intended to reduce and support the workload of formal carers, since the progression of the dementia decreases PwD well-being, increases the caregiver burden and possibly decreases the quality of care.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125926231","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}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856588
R. L. Rosa, P. Livreri, D. Demarchi, C. Dehollain, S. Carrara
Continuous and minimally invasive measurements of metabolism are the key to the understanding and proper treatment of various pathologies. In this context, this paper deals with an innovative concept of a wireless measurement system that monitors glucose concentration and is simultaneously powered by self-measurement. The measurement system directly generates a radio transmission at a frequency proportional to the measured glucose concentration, acting de facto as a glucose concentration to time converter. In that way, a remote base station can indirectly detect glucose concentration by measuring the frequency of received radio signals. The outcome is a wireless measurement system, which uses the unique glucose biofuel cell to simultaneously perform energy harvesting and measurement with the immediate advantage of achieving greater energy efficiency and minimal use of components in its instrumentation.
{"title":"Self-Powered Measurement System for Remote Monitoring of Human Metabolism","authors":"R. L. Rosa, P. Livreri, D. Demarchi, C. Dehollain, S. Carrara","doi":"10.1109/MeMeA54994.2022.9856588","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856588","url":null,"abstract":"Continuous and minimally invasive measurements of metabolism are the key to the understanding and proper treatment of various pathologies. In this context, this paper deals with an innovative concept of a wireless measurement system that monitors glucose concentration and is simultaneously powered by self-measurement. The measurement system directly generates a radio transmission at a frequency proportional to the measured glucose concentration, acting de facto as a glucose concentration to time converter. In that way, a remote base station can indirectly detect glucose concentration by measuring the frequency of received radio signals. The outcome is a wireless measurement system, which uses the unique glucose biofuel cell to simultaneously perform energy harvesting and measurement with the immediate advantage of achieving greater energy efficiency and minimal use of components in its instrumentation.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126719250","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}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856405
G. Pagano, M. Aliani, Maddalena Genco, A. Coccia, Vito Proscia, M. Cesarelli, G. D'Addio
Obstructive Sleep Apnea (OSA) is a common sleep-related breathing disorder characterized by discontinuous reduction or cessation of airflow. The OSA syndrome reduces the maximal aerobic capacity, increasing cardiovascular risk and functional limitation. The 6-Minutes Walking Test (6MWT) is used in clinical environment to assess the maximal exercise capacity in OSA patients, and also to monitor other physiological parameters during physical effort. In this study thirteen patients suffering with OSA syndrome performed an instrumented 6MWT using an automatic system for movement analysis (BTS G-Walk) and underwent a comprehensive clinical assessment by means of a set of selected clinical scales, at baseline (T0) and after a period of rehabilitation (T1). The paired t-test was used to assess whether statistically significant variation occurs in the analyzed parameters due to the treatment received. The 6MWT distance, all the clinical scales (Short Physical Performance Battery, Modified Medical Research Council Dyspnea Scale, Barthel Index for Dyspnea and EuroQol Visual Analogue Scale) and the Borg index for Dyspnea and Fatigue assessed during 6MWT show significant changes, proving to be good indices to assess rehabilitation outcome. The oxygen desaturation and the variation of heart rate registered during the walking test do not change significantly at T1. Results confirm the importance of respiratory rehabilitation which improves physical endurance and patient's self-assessment of his/her own health and quality of life.
阻塞性睡眠呼吸暂停(OSA)是一种常见的睡眠相关呼吸障碍，其特征是气流不连续减少或停止。OSA综合征降低最大有氧能力，增加心血管风险和功能限制。6分钟步行试验(6-Minutes Walking Test, 6MWT)在临床环境下用于评估OSA患者的最大运动能力，同时也用于监测运动过程中的其他生理参数。在本研究中，13例OSA综合征患者使用自动运动分析系统(BTS G-Walk)进行了仪器化6MWT，并通过一组选定的临床量表在基线(T0)和康复期(T1)后进行了全面的临床评估。配对t检验用于评估所接受的治疗是否导致分析参数发生统计学上显著的变化。6MWT期间，6MWT距离、所有临床量表(Short Physical Performance Battery、Modified Medical Research Council呼吸困难量表、Barthel呼吸困难指数和EuroQol视觉模拟量表)以及Borg呼吸困难和疲劳指数均有显著变化，是评价康复效果的良好指标。在T1时，步行试验中记录的氧饱和度和心率变化没有显著变化。结果证实了呼吸康复对提高身体耐力和患者自我评价自身健康和生活质量的重要性。
{"title":"Rehabilitation outcome in patients with obstructive sleep apnea syndrome using wearable inertial sensor for gait analysis","authors":"G. Pagano, M. Aliani, Maddalena Genco, A. Coccia, Vito Proscia, M. Cesarelli, G. D'Addio","doi":"10.1109/MeMeA54994.2022.9856405","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856405","url":null,"abstract":"Obstructive Sleep Apnea (OSA) is a common sleep-related breathing disorder characterized by discontinuous reduction or cessation of airflow. The OSA syndrome reduces the maximal aerobic capacity, increasing cardiovascular risk and functional limitation. The 6-Minutes Walking Test (6MWT) is used in clinical environment to assess the maximal exercise capacity in OSA patients, and also to monitor other physiological parameters during physical effort. In this study thirteen patients suffering with OSA syndrome performed an instrumented 6MWT using an automatic system for movement analysis (BTS G-Walk) and underwent a comprehensive clinical assessment by means of a set of selected clinical scales, at baseline (T0) and after a period of rehabilitation (T1). The paired t-test was used to assess whether statistically significant variation occurs in the analyzed parameters due to the treatment received. The 6MWT distance, all the clinical scales (Short Physical Performance Battery, Modified Medical Research Council Dyspnea Scale, Barthel Index for Dyspnea and EuroQol Visual Analogue Scale) and the Borg index for Dyspnea and Fatigue assessed during 6MWT show significant changes, proving to be good indices to assess rehabilitation outcome. The oxygen desaturation and the variation of heart rate registered during the walking test do not change significantly at T1. Results confirm the importance of respiratory rehabilitation which improves physical endurance and patient's self-assessment of his/her own health and quality of life.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126742757","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}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856495
Syed Ali Hassan, C. Oddo
Touch sensing is helpful and important for a robot to understand and have bidirectional physical contact with its environment, particularly objects it interacts with. Sensors provide information to robot systems about their surrounding environment in order to help them to achieve dynamic interaction tasks, as an example in bionic prostheses, in teleoperation or in robots that should autonomously take decisions according to the situation. To this end, several tactile and vision-based solutions have been adopted in robotics over the past few decades enabled by the improvements of the functional and metrological performances of state of the art sensors, which have been widely reported in the literature. In an effort to gather and summarize a selection of scientific and technological advances in this field, this brief review proposes a categorization based on addressed tasks with tactile sensors. Specifically, it outlines a selection of current trends in material and shape recognition, and encoding of textural and compliance properties, by sensorized robots. Selected tactile sensor technologies are discussed with their applications to achieve specific tasks, also in combination with other sensors. Finally, touch exploration strategies are discussed briefly. This review identifies unresolved challenges and suggests future trends for the application of tactile sensors in various jobs.
{"title":"Tactile sensors for Material recognition in Social and Collaborative Robots: A brief review","authors":"Syed Ali Hassan, C. Oddo","doi":"10.1109/MeMeA54994.2022.9856495","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856495","url":null,"abstract":"Touch sensing is helpful and important for a robot to understand and have bidirectional physical contact with its environment, particularly objects it interacts with. Sensors provide information to robot systems about their surrounding environment in order to help them to achieve dynamic interaction tasks, as an example in bionic prostheses, in teleoperation or in robots that should autonomously take decisions according to the situation. To this end, several tactile and vision-based solutions have been adopted in robotics over the past few decades enabled by the improvements of the functional and metrological performances of state of the art sensors, which have been widely reported in the literature. In an effort to gather and summarize a selection of scientific and technological advances in this field, this brief review proposes a categorization based on addressed tasks with tactile sensors. Specifically, it outlines a selection of current trends in material and shape recognition, and encoding of textural and compliance properties, by sensorized robots. Selected tactile sensor technologies are discussed with their applications to achieve specific tasks, also in combination with other sensors. Finally, touch exploration strategies are discussed briefly. This review identifies unresolved challenges and suggests future trends for the application of tactile sensors in various jobs.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124856728","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}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856484
Ashi Agarwal, F. Knoefel, Bruce Wallace, Neil Thomas, R. Goubran
The rapidly growing aging population of Canada prefers to age in place despite potentially declining physical and cognitive health. Hence comes the potential for regular health assessments such as gait analysis from the comfort of homes using various smart home health applications. Amongst various available sensors, some have communication delays resulting in inaccurate gait assessment whereas others provide weak data that is only good enough to calculate one or two parameters. Although a surveillance camera is an efficient alternative, it can be considered an intrusion in privacy of the residents increasing their guard against the technology. This paper is the first study of a novel privacy respecting intelligent visual sensor which replaces humans with stick figures in real time video. This modified video provides rich data which can be used for various applications including gait assessment. The methodology proposed successfully calculates the walking speed of the residents with an accuracy of ~86-87%that is limited by the current low and asynchronous frame rate of the sensor. The performance of the sensor is restricted by the currently available processing capacity. The results of this paper confirm the potential of the methodology whilst highlighting some limitations of the device which can be resolved in future technology updates of the sensor.
{"title":"Walking Gait Speed Measurement U sing Privacy Respecting AI Enabled Visual Sensor","authors":"Ashi Agarwal, F. Knoefel, Bruce Wallace, Neil Thomas, R. Goubran","doi":"10.1109/MeMeA54994.2022.9856484","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856484","url":null,"abstract":"The rapidly growing aging population of Canada prefers to age in place despite potentially declining physical and cognitive health. Hence comes the potential for regular health assessments such as gait analysis from the comfort of homes using various smart home health applications. Amongst various available sensors, some have communication delays resulting in inaccurate gait assessment whereas others provide weak data that is only good enough to calculate one or two parameters. Although a surveillance camera is an efficient alternative, it can be considered an intrusion in privacy of the residents increasing their guard against the technology. This paper is the first study of a novel privacy respecting intelligent visual sensor which replaces humans with stick figures in real time video. This modified video provides rich data which can be used for various applications including gait assessment. The methodology proposed successfully calculates the walking speed of the residents with an accuracy of ~86-87%that is limited by the current low and asynchronous frame rate of the sensor. The performance of the sensor is restricted by the currently available processing capacity. The results of this paper confirm the potential of the methodology whilst highlighting some limitations of the device which can be resolved in future technology updates of the sensor.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122218888","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}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856445
A. Vallan, A. Carullo, L. Midolo, A. Ferri
This paper presents a portable system designed to monitor physical and chemical quantities inside the dead space of face masks that are commonly used to prevent the diffusion of SARS-CoV-2 infection. The system is a “side stream” analyzer that continuously samples the gas inside the gap between the mask and the user mouth and provides, in real time, the temporal evolution of CO2 concentration, differential pressure and temperature. These quantities are related to the mask behaviour in term of breath resistance, CO2 accumulation and overheating that, in turn, can cause physiological side effects and a feeling of discomfort. These effects become more relevant when the masks are employed during physical activities, such as team sports, and for this reason the system has been designed to have a reduced weight and dimensions as well as a reduced invasiveness of the sampling line. The paper also proposes a measurement procedure for the evaluation of the CO2 inspired volume in real conditions during the physical activity. At the current stage, the proposed procedure is only able to provide qualitative measurements, but it can work in real conditions and it does not require bulky and expensive facilities as the ones required by the actual international standards for the certification of respiratory protective devices.
{"title":"A portable system for CO2 and pressure monitoring inside the dead space of face masks","authors":"A. Vallan, A. Carullo, L. Midolo, A. Ferri","doi":"10.1109/MeMeA54994.2022.9856445","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856445","url":null,"abstract":"This paper presents a portable system designed to monitor physical and chemical quantities inside the dead space of face masks that are commonly used to prevent the diffusion of SARS-CoV-2 infection. The system is a “side stream” analyzer that continuously samples the gas inside the gap between the mask and the user mouth and provides, in real time, the temporal evolution of CO2 concentration, differential pressure and temperature. These quantities are related to the mask behaviour in term of breath resistance, CO2 accumulation and overheating that, in turn, can cause physiological side effects and a feeling of discomfort. These effects become more relevant when the masks are employed during physical activities, such as team sports, and for this reason the system has been designed to have a reduced weight and dimensions as well as a reduced invasiveness of the sampling line. The paper also proposes a measurement procedure for the evaluation of the CO2 inspired volume in real conditions during the physical activity. At the current stage, the proposed procedure is only able to provide qualitative measurements, but it can work in real conditions and it does not require bulky and expensive facilities as the ones required by the actual international standards for the certification of respiratory protective devices.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123178228","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}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856561
M. Rodrigues, O. Postolache, F. Cercas
The purpose of this practical approach was to extract the relations between music stimulation and heart rate variability (HRV) in healthy volunteers. Different kinds of music were considered, including ambient, classic, and metal music genres. The study was carried out trying to understand how the integration of this stimulus can be a relevant feature of a smart environment and people wellbeing. The HRV evolution was based on time-domain and frequency-domain analysis. Preliminary results underline significant variations in HRV when the user is listening to ambient music versus classic and metal music. Moreover, a greater variance of the ratio between low frequencies (LF) and high frequencies (HF) values among all participants was more noticeable when listening to ambient music than all the other music genres, which may reflect lack of focus and a higher tendency to mind wander. The study was based on the usage of a developed wearable smart sensor that includes a photoplethysmography (PPG) measurement channel. The validation of this smart sensor for HRV monitoring was done using an additional ECG sensor node, as a reference cardiac activity measurement channel. HRV monitoring using the developed sensor node revealed a good correlation with the values obtained by the ECG node.
{"title":"The Influence of Music Stimulation on Heart Rate Variability: Preliminary Results","authors":"M. Rodrigues, O. Postolache, F. Cercas","doi":"10.1109/MeMeA54994.2022.9856561","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856561","url":null,"abstract":"The purpose of this practical approach was to extract the relations between music stimulation and heart rate variability (HRV) in healthy volunteers. Different kinds of music were considered, including ambient, classic, and metal music genres. The study was carried out trying to understand how the integration of this stimulus can be a relevant feature of a smart environment and people wellbeing. The HRV evolution was based on time-domain and frequency-domain analysis. Preliminary results underline significant variations in HRV when the user is listening to ambient music versus classic and metal music. Moreover, a greater variance of the ratio between low frequencies (LF) and high frequencies (HF) values among all participants was more noticeable when listening to ambient music than all the other music genres, which may reflect lack of focus and a higher tendency to mind wander. The study was based on the usage of a developed wearable smart sensor that includes a photoplethysmography (PPG) measurement channel. The validation of this smart sensor for HRV monitoring was done using an additional ECG sensor node, as a reference cardiac activity measurement channel. HRV monitoring using the developed sensor node revealed a good correlation with the values obtained by the ECG node.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"545 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120877647","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}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856483
S. Carraro, L. D’Alvia, Enrica Urciuoli, B. Peruzzi, Z. Prete, E. Rizzuto
In recent years, microwave biosensing based on resonant elements led to an ever-growing interest in biomedical research for monitoring, therapeutic and diagnostic applications due to its minimal invasiveness and high detection sensitivity. The dielectric properties of the biological medium under test (MUT) determine how these resonant structures perform. In particular, the temperature is crucial for inducing dielectric intrinsic changes in MUT. Furthermore, at the cellular level, environmental temperature changes strongly affect the dielectric properties of cell cultures. On this basis, this paper proposes to study the effects of temperature on the dielectric properties of a biological solution in the range of 25°C −37°C, using a measurement method based on microwave biosensing. We used an experimental system consisting of a resonant circular biosensor for temperature measurements of one of the most used biological solutions, the phosphate-buffered saline (PBS) solution, in a thermostatic chamber. The circular probe provided the measurement response to temperature variations in terms of frequency and signal attenuation. In experimental tests, 6.0 ml of PBS were cooled stepwise from 37 °C to 25°C at 3 °C steps into a standard Petri dish. The experimental results demonstrated the ability of the measurement system to detect significant temperature changes of the PBS solution in both frequency and attenuation of the reflection coefficient| S11|, also pointing out the need for accurate temperature control during the measurement of the dielectric properties of biologic fluids.
近年来，基于共振元件的微波生物传感由于其侵入性小、检测灵敏度高，引起了生物医学研究对监测、治疗和诊断应用的日益增长的兴趣。被测生物介质的介电特性(MUT)决定了这些共振结构的表现。特别是，温度是引起介电本征变化的关键。此外，在细胞水平上，环境温度的变化强烈影响细胞培养物的介电特性。在此基础上，本文提出采用基于微波生物传感的测量方法，研究温度对生物溶液介电性能在25℃~ 37℃范围内的影响。我们使用了一个由共振圆形生物传感器组成的实验系统，用于在恒温室中测量最常用的生物溶液之一，磷酸盐缓冲盐水(PBS)溶液。圆形探头根据频率和信号衰减提供温度变化的测量响应。在实验测试中，6.0 ml PBS以3°C的步骤从37°C逐步冷却到25°C，放入标准培养皿中。实验结果表明，该测量系统能够检测到PBS溶液在频率和反射系数衰减方面的显著温度变化，也指出了在测量生物流体介电特性时需要精确的温度控制。
{"title":"Measuring temperature effects on the dielectric properties of biological liquids by an experimental microwave system","authors":"S. Carraro, L. D’Alvia, Enrica Urciuoli, B. Peruzzi, Z. Prete, E. Rizzuto","doi":"10.1109/MeMeA54994.2022.9856483","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856483","url":null,"abstract":"In recent years, microwave biosensing based on resonant elements led to an ever-growing interest in biomedical research for monitoring, therapeutic and diagnostic applications due to its minimal invasiveness and high detection sensitivity. The dielectric properties of the biological medium under test (MUT) determine how these resonant structures perform. In particular, the temperature is crucial for inducing dielectric intrinsic changes in MUT. Furthermore, at the cellular level, environmental temperature changes strongly affect the dielectric properties of cell cultures. On this basis, this paper proposes to study the effects of temperature on the dielectric properties of a biological solution in the range of 25°C −37°C, using a measurement method based on microwave biosensing. We used an experimental system consisting of a resonant circular biosensor for temperature measurements of one of the most used biological solutions, the phosphate-buffered saline (PBS) solution, in a thermostatic chamber. The circular probe provided the measurement response to temperature variations in terms of frequency and signal attenuation. In experimental tests, 6.0 ml of PBS were cooled stepwise from 37 °C to 25°C at 3 °C steps into a standard Petri dish. The experimental results demonstrated the ability of the measurement system to detect significant temperature changes of the PBS solution in both frequency and attenuation of the reflection coefficient| S11|, also pointing out the need for accurate temperature control during the measurement of the dielectric properties of biologic fluids.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127629632","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：