Pub Date : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478596
L. Kassab, Andrew J. Law, Bruce Wallace, J. Larivière-Chartier, R. Goubran, F. Knoefel
The ability to quickly screen people for symptoms of infectious disease is important to reduce disease transmission in long term care facilities and crowded public spaces. To achieve this goal, one option could be non-contact sensor arrays that measure vital signs. In this work, we present initial results for the assessment of heart rate through video magnification techniques applied to visible light Red/Green/Blue (RGB) video recordings of the face. The work specifically explores the effect of region of interest size on the accuracy of heart rate measurements. The visible skin on a person’s face can be obscured by hair or face masks, leading to a need for algorithms and methods that can compensate for these effects. The results show the potential for the combination of many small regions as an alternative to a single large region. The best performance for small regions is a mean absolute error of 9.9% while larger regions performed better with the best error performance of <3%. The work also shows that for larger regions covering most/all of the face, body motion reduces the performance more than the use of a face mask that obscures a portion of the face. This work provides the foundation for further development of robust non-contact health screening solutions.
{"title":"Effects of Region of Interest Size on Heart Rate Assessment through Video Magnification","authors":"L. Kassab, Andrew J. Law, Bruce Wallace, J. Larivière-Chartier, R. Goubran, F. Knoefel","doi":"10.1109/MeMeA52024.2021.9478596","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478596","url":null,"abstract":"The ability to quickly screen people for symptoms of infectious disease is important to reduce disease transmission in long term care facilities and crowded public spaces. To achieve this goal, one option could be non-contact sensor arrays that measure vital signs. In this work, we present initial results for the assessment of heart rate through video magnification techniques applied to visible light Red/Green/Blue (RGB) video recordings of the face. The work specifically explores the effect of region of interest size on the accuracy of heart rate measurements. The visible skin on a person’s face can be obscured by hair or face masks, leading to a need for algorithms and methods that can compensate for these effects. The results show the potential for the combination of many small regions as an alternative to a single large region. The best performance for small regions is a mean absolute error of 9.9% while larger regions performed better with the best error performance of <3%. The work also shows that for larger regions covering most/all of the face, body motion reduces the performance more than the use of a face mask that obscures a portion of the face. This work provides the foundation for further development of robust non-contact health screening solutions.","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":"130944199","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478684
Satheesh Natarajan, M. DeRosa, J. Joseph, M. Shah, S. Karthik
A novel aptamer-antibody pair-based lateral flow assay was designed to rapidly quantify Cystatin C (CysC). CysC is a small protein that can be expressed by all nucleated cells. It is rarely influenced by factors other than Glomerular filtration rate (GFR), an indicator of renal function chronic kidney diseases (CKD). That makes it a reliable biomarker for the measurement of the GFR. Aptamers bind specifically to the target molecules, it is less expensive, more stable, and lack immunogenicity. The aptamers became a valuable tool in clinical diagnosis and made them a great alternative to antibodies. In this study, we designed and developed an aptamer- antibody pair-based quantitative lateral flow assay for the CysC quantification in the human sample. A highly sensitive and specific CysC sensor was achieved by conjugating CysC selective aptamers to the organic dye Alexafluor-647. When CysC molecules are present in the sample, they form a complex with the designed aptamers to bind, especially with the CysC antibody immobilized on the lateral flow assay strip's test zone. Important parameters that influence the sensitivity in lateral flow assay, such as the concentration of aptamers in the conjugation pad, were evaluated to give the optimum assay performance. The assay was precise and has a limit of detection of 0.013 µg/µl was shown better than the antibody-based kit. In summary, the resulting LFA aptamers-based sensor provides a rapid, sensitive, cost-effective point of care sensor for CysC detection in human samples.
设计了一种新的基于适配体抗体对的横向流动测定方法，以快速定量Cystatin C (CysC)。CysC是一种小蛋白，可在所有有核细胞中表达。它很少受到肾小球滤过率(GFR)以外的因素的影响，肾小球滤过率是肾功能慢性肾病(CKD)的指标。这使得它成为测量GFR的可靠生物标志物。适配体与靶分子特异性结合，成本更低，更稳定，但缺乏免疫原性。适体在临床诊断中成为一种有价值的工具，并使它们成为抗体的一个很好的替代品。在这项研究中，我们设计并开发了一种基于适体抗体对的定量侧流法，用于人样品中CysC的定量。通过将CysC选择性适配体偶联到有机染料Alexafluor-647上，获得了高灵敏度和特异性的CysC传感器。当样品中存在CysC分子时，它们与设计的适配体形成络合物结合，特别是与固定在侧流测定条测试区的CysC抗体结合。影响横向流动测定灵敏度的重要参数，如偶联垫中适配体的浓度，被评估以提供最佳的测定性能。该试剂盒检测精度高，检出限为0.013µg/µl，优于基于抗体的试剂盒。综上所述，基于LFA适配体的传感器为人体样品中的CysC检测提供了快速、敏感、经济高效的护理点传感器。
{"title":"Aptamer based Lateral Flow Assays for Rapid and Sensitive Detection of CKD marker Cystatin C","authors":"Satheesh Natarajan, M. DeRosa, J. Joseph, M. Shah, S. Karthik","doi":"10.1109/MeMeA52024.2021.9478684","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478684","url":null,"abstract":"A novel aptamer-antibody pair-based lateral flow assay was designed to rapidly quantify Cystatin C (CysC). CysC is a small protein that can be expressed by all nucleated cells. It is rarely influenced by factors other than Glomerular filtration rate (GFR), an indicator of renal function chronic kidney diseases (CKD). That makes it a reliable biomarker for the measurement of the GFR. Aptamers bind specifically to the target molecules, it is less expensive, more stable, and lack immunogenicity. The aptamers became a valuable tool in clinical diagnosis and made them a great alternative to antibodies. In this study, we designed and developed an aptamer- antibody pair-based quantitative lateral flow assay for the CysC quantification in the human sample. A highly sensitive and specific CysC sensor was achieved by conjugating CysC selective aptamers to the organic dye Alexafluor-647. When CysC molecules are present in the sample, they form a complex with the designed aptamers to bind, especially with the CysC antibody immobilized on the lateral flow assay strip's test zone. Important parameters that influence the sensitivity in lateral flow assay, such as the concentration of aptamers in the conjugation pad, were evaluated to give the optimum assay performance. The assay was precise and has a limit of detection of 0.013 µg/µl was shown better than the antibody-based kit. In summary, the resulting LFA aptamers-based sensor provides a rapid, sensitive, cost-effective point of care sensor for CysC detection in human samples.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"22 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":"132365034","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478699
E. Nicotra, D. Lecca, G. Marchese
The informativity and sensitivity of psychometric scales may play a relevant role in interpreting the results of clinical trials. In an attempt to investigate the possibility to improve the suitability of psychometric tools in psychopharmacology, an analysis of the available mathematical and statistical strategies has been carried out. The results suggested that both inter-item correlations and probabilistic analyses should be regarded as valid approaches for evaluating and improving the informativity and sensitivity of a psychometric scale to be used in clinical trials. Symptom profiles analyses and repeated parceling procedures appeared to be helpful for a proper alignment between the theoretical and empirical variability which can be identified by a psychometric scale among individuals enrolled in clinical psychopharmacological trails.
{"title":"Psychometric scales in clinical psychopharmacology trials: mathematical and statistical evaluations","authors":"E. Nicotra, D. Lecca, G. Marchese","doi":"10.1109/MeMeA52024.2021.9478699","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478699","url":null,"abstract":"The informativity and sensitivity of psychometric scales may play a relevant role in interpreting the results of clinical trials. In an attempt to investigate the possibility to improve the suitability of psychometric tools in psychopharmacology, an analysis of the available mathematical and statistical strategies has been carried out. The results suggested that both inter-item correlations and probabilistic analyses should be regarded as valid approaches for evaluating and improving the informativity and sensitivity of a psychometric scale to be used in clinical trials. Symptom profiles analyses and repeated parceling procedures appeared to be helpful for a proper alignment between the theoretical and empirical variability which can be identified by a psychometric scale among individuals enrolled in clinical psychopharmacological trails.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"67 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":"131094202","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478695
Ashi Agarwal, Bruce Wallace, L. Ault, J. Larivière-Chartier, F. Knoefel, R. Goubran, J. Kaye, Z. Beattie, N. Thomas
With the aging of the population in Canada and elsewhere, applications of Smart Homes for well-being sensing are increasingly being considered in health care. Many of these smart home networks rely on the Zigbee wireless protocol to connect sensors used to measure various health outcomes. This paper provides preliminary results of gait estimation performed on 3 different residences over 11 months using Zigbee connected motion sensors, with a focus on understanding accuracy limitations induced by the Zigbee communication protocol. The accuracy limitations were also observed in the results from a controlled experiment done with 2 different sets of Zigbee motion sensors. This paper provides an in-depth analysis on root cause of variance in gait estimation at the same time laying out conservative variance estimations caused by different scenarios. The accuracy considerations highlighted by the paper are also applicable for all other time sensitive measures. Results of this paper necessitate further analysis of the use of Zigbee operated sensor networks in the evaluation of time sensitive measures.
{"title":"Using Zigbee Sensors for Ambient Measurement of Human Gait – Analytical Considerations","authors":"Ashi Agarwal, Bruce Wallace, L. Ault, J. Larivière-Chartier, F. Knoefel, R. Goubran, J. Kaye, Z. Beattie, N. Thomas","doi":"10.1109/MeMeA52024.2021.9478695","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478695","url":null,"abstract":"With the aging of the population in Canada and elsewhere, applications of Smart Homes for well-being sensing are increasingly being considered in health care. Many of these smart home networks rely on the Zigbee wireless protocol to connect sensors used to measure various health outcomes. This paper provides preliminary results of gait estimation performed on 3 different residences over 11 months using Zigbee connected motion sensors, with a focus on understanding accuracy limitations induced by the Zigbee communication protocol. The accuracy limitations were also observed in the results from a controlled experiment done with 2 different sets of Zigbee motion sensors. This paper provides an in-depth analysis on root cause of variance in gait estimation at the same time laying out conservative variance estimations caused by different scenarios. The accuracy considerations highlighted by the paper are also applicable for all other time sensitive measures. Results of this paper necessitate further analysis of the use of Zigbee operated sensor networks in the evaluation of time sensitive measures.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"73 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":"123476360","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478741
Hedieh Hashem Olhosseiny, Mohammadsalar Mirzaloo, M. Bolic, H. Dajani, V. Groza, Masayoshi Yoshida
Atherosclerosis refers to the buildup of plaque on the artery walls. As the disease advances in its further stages, its burden could lead to stroke or heart attack. Atherosclerosis develops gradually, and mild stages of the condition are usually symptomless. Diagnosing patients in their early stages of the disease can facilitate timely clinical interventions enhancing patient’s quality of life by altering the course of the disease. The work presented in this paper is focused on classifying patients who are at high risk of Atherosclerosis using simple diagnosis tools available in every clinic. The final system is a prescreening tool providing the medical practitioners with recommendations regarding the disease. High risk patients can be referred to a cardiologist for further assessments. A dataset of 44 patients was collected including 17 low-risk and 27 high-risk patients. Two different approaches were taken, 1. using deep learning and time series data (ECG signals) 2. using traditional machine learning algorithms and tabular data. In the first approach, a Conv-GRU model was trained using ECG signals collected from patients. This method resulted in an average accuracy of 77% which was computed over 4 folds using cross validation. In the second approach, Stacking, an ensemble learning technique in which the final prediction is obtained by combining the prediction of different machine learning models trained on several attributes readily collected in the clinic, was used. An average accuracy of 81% was achieved using this method.
{"title":"Identifying High Risk of Atherosclerosis Using Deep Learning and Ensemble Learning","authors":"Hedieh Hashem Olhosseiny, Mohammadsalar Mirzaloo, M. Bolic, H. Dajani, V. Groza, Masayoshi Yoshida","doi":"10.1109/MeMeA52024.2021.9478741","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478741","url":null,"abstract":"Atherosclerosis refers to the buildup of plaque on the artery walls. As the disease advances in its further stages, its burden could lead to stroke or heart attack. Atherosclerosis develops gradually, and mild stages of the condition are usually symptomless. Diagnosing patients in their early stages of the disease can facilitate timely clinical interventions enhancing patient’s quality of life by altering the course of the disease. The work presented in this paper is focused on classifying patients who are at high risk of Atherosclerosis using simple diagnosis tools available in every clinic. The final system is a prescreening tool providing the medical practitioners with recommendations regarding the disease. High risk patients can be referred to a cardiologist for further assessments. A dataset of 44 patients was collected including 17 low-risk and 27 high-risk patients. Two different approaches were taken, 1. using deep learning and time series data (ECG signals) 2. using traditional machine learning algorithms and tabular data. In the first approach, a Conv-GRU model was trained using ECG signals collected from patients. This method resulted in an average accuracy of 77% which was computed over 4 folds using cross validation. In the second approach, Stacking, an ensemble learning technique in which the final prediction is obtained by combining the prediction of different machine learning models trained on several attributes readily collected in the clinic, was used. An average accuracy of 81% was achieved using this method.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"51 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":"127084031","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478702
F. Amitrano, A. Coccia, L. Donisi, G. Pagano, G. Cesarelli, G. D'Addio
Sock is a wearable e-textile sock for gait analysis. It is based on the acquisition and digital processing of the angular velocities of the lower limbs. In this paper we focus on the study of test-retest reliability of this system in measuring spatio-temporal gait parameters. The analysis was simultaneously conducted on data acquired by a multicamera system for gait analysis (SMART-DX 700 by BTS), in order to have reference values. A group of healthy subjects, equipped with both systems, performed four repeated walking tests along an 11 m walkway, consecutively and under constant conditions. The four tests were repeated at preferred, slow and fast self- selected walking speed. The Intraclass Correlation Coefficient (ICC) and Minimum Detectable Change (MDC) were evaluated to assess the repeatability of the measures. ICC values range from moderate to excellent for all gait parameters assessed by smart socks. The novel system presents test-retest reliability values comparable to, if not higher than, those shown by the gold standard. Finally, the results of gait reliability as a function of walking speed show excellent ICCs and very low MDCs for all parameters evaluated on trials at fast velocity, supporting the referenced hypothesis that faster movement is more consistent.
{"title":"Gait Analysis using Wearable E-Textile Sock: an Experimental Study of Test-Retest Reliability","authors":"F. Amitrano, A. Coccia, L. Donisi, G. Pagano, G. Cesarelli, G. D'Addio","doi":"10.1109/MeMeA52024.2021.9478702","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478702","url":null,"abstract":"Sock is a wearable e-textile sock for gait analysis. It is based on the acquisition and digital processing of the angular velocities of the lower limbs. In this paper we focus on the study of test-retest reliability of this system in measuring spatio-temporal gait parameters. The analysis was simultaneously conducted on data acquired by a multicamera system for gait analysis (SMART-DX 700 by BTS), in order to have reference values. A group of healthy subjects, equipped with both systems, performed four repeated walking tests along an 11 m walkway, consecutively and under constant conditions. The four tests were repeated at preferred, slow and fast self- selected walking speed. The Intraclass Correlation Coefficient (ICC) and Minimum Detectable Change (MDC) were evaluated to assess the repeatability of the measures. ICC values range from moderate to excellent for all gait parameters assessed by smart socks. The novel system presents test-retest reliability values comparable to, if not higher than, those shown by the gold standard. Finally, the results of gait reliability as a function of walking speed show excellent ICCs and very low MDCs for all parameters evaluated on trials at fast velocity, supporting the referenced hypothesis that faster movement is more consistent.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"25 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":"126030690","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478775
Flavia Forconi, L. Apa, L. D’Alvia, Marianna Cosentino, E. Rizzuto, Z. Prete
Electrical stimulation (ES) highly influences the cellular microenvironment, affecting cell migration, proliferation and differentiation. It also plays a crucial role in tissue engineering to improve the biomechanical properties of the constructs and regenerate the damaged tissues. However, the effects of the ES on the neuromuscular junction (NMJ) are still not fully analyzed. In this context, the development of a specialized microfluidic device combined with an ad-hoc electrical stimulation can allow a better investigation of the NMJ functionality. To this aim, we performed an analysis of the electric field distribution in a 3D neuromuscular junction microfluidic device for the design of several electrode systems. At first, we designed and modeled the 3D microfluidic device in order to promote the formation of the NMJ between neuronal cells and the muscle engineered tissue. Subsequently, with the aim of identifying the optimal electrode configuration able to properly stimulate the neurites, thus enhancing the formation of the NMJ, we performed different simulation tests of the electric field distribution, by varying the electrode type, size, position and applied voltage. Our results revealed that all the tested configurations did not induce an electric field dangerous for the cell vitality. Among these configurations, the one with cylindrical pin of 0.3 mm of radius, placed in the internal position of the neuronal chambers, allowed to obtain the highest electrical field in the zone comprising the neurites.
{"title":"Electric field distribution analysis for the design of an electrode system in a 3D neuromuscular junction microfluidic device","authors":"Flavia Forconi, L. Apa, L. D’Alvia, Marianna Cosentino, E. Rizzuto, Z. Prete","doi":"10.1109/MeMeA52024.2021.9478775","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478775","url":null,"abstract":"Electrical stimulation (ES) highly influences the cellular microenvironment, affecting cell migration, proliferation and differentiation. It also plays a crucial role in tissue engineering to improve the biomechanical properties of the constructs and regenerate the damaged tissues. However, the effects of the ES on the neuromuscular junction (NMJ) are still not fully analyzed. In this context, the development of a specialized microfluidic device combined with an ad-hoc electrical stimulation can allow a better investigation of the NMJ functionality. To this aim, we performed an analysis of the electric field distribution in a 3D neuromuscular junction microfluidic device for the design of several electrode systems. At first, we designed and modeled the 3D microfluidic device in order to promote the formation of the NMJ between neuronal cells and the muscle engineered tissue. Subsequently, with the aim of identifying the optimal electrode configuration able to properly stimulate the neurites, thus enhancing the formation of the NMJ, we performed different simulation tests of the electric field distribution, by varying the electrode type, size, position and applied voltage. Our results revealed that all the tested configurations did not induce an electric field dangerous for the cell vitality. Among these configurations, the one with cylindrical pin of 0.3 mm of radius, placed in the internal position of the neuronal chambers, allowed to obtain the highest electrical field in the zone comprising the neurites.","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":"126081061","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478773
Yu-Chieh Chen, J. Tsan, Wen-Yen Lin
The accurate measurement of respiration rate in sleeping patients requires the patients to be in a comfortable state. Current measurement systems usually require patients to wear tights because the sensors must be close to the body to enable the acquisition of high-quality measurements. However, tights are uncomfortable when worn for a long period, especially during sleep. Moreover, current systems are marred by poor battery life, which is a major problem for overnight monitoring processes; existing battery designs cannot be integrated into smart clothing, which must be waterproof to protect electronic components during laundry.To solve these problems, this study developed a wireless power– supplied optical respiratory measurement module (wireless-ORM), which can be integrated with cotton clothing for the optical, noncontact measurement of respiratory rate. This module is powered wirelessly, which eliminates the need for a battery and allows for an indefinite power supply. The wireless-ORM can also be easily covered with a waterproof membrane for waterproofing. We fabricated and tested a prototype of the wireless-ORM measuring 197 × 20 × 3 mm3 in volume and 2.8 g in weight. The sensor was determined to function at distances up to 40 mm from the body, meaning that respiration rate could be measured even with thick winter clothes. The wireless-ORM could also receive power wirelessly up to 70 cm from a base station. Due to its small size, the wireless-ORM can be wrapped in plastic for waterproofing to enable its use in smart clothing.
{"title":"Wirelessly Powered Device for Optical Measurement of Respiration Rate","authors":"Yu-Chieh Chen, J. Tsan, Wen-Yen Lin","doi":"10.1109/MeMeA52024.2021.9478773","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478773","url":null,"abstract":"The accurate measurement of respiration rate in sleeping patients requires the patients to be in a comfortable state. Current measurement systems usually require patients to wear tights because the sensors must be close to the body to enable the acquisition of high-quality measurements. However, tights are uncomfortable when worn for a long period, especially during sleep. Moreover, current systems are marred by poor battery life, which is a major problem for overnight monitoring processes; existing battery designs cannot be integrated into smart clothing, which must be waterproof to protect electronic components during laundry.To solve these problems, this study developed a wireless power– supplied optical respiratory measurement module (wireless-ORM), which can be integrated with cotton clothing for the optical, noncontact measurement of respiratory rate. This module is powered wirelessly, which eliminates the need for a battery and allows for an indefinite power supply. The wireless-ORM can also be easily covered with a waterproof membrane for waterproofing. We fabricated and tested a prototype of the wireless-ORM measuring 197 × 20 × 3 mm3 in volume and 2.8 g in weight. The sensor was determined to function at distances up to 40 mm from the body, meaning that respiration rate could be measured even with thick winter clothes. The wireless-ORM could also receive power wirelessly up to 70 cm from a base station. Due to its small size, the wireless-ORM can be wrapped in plastic for waterproofing to enable its use in smart clothing.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"98 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":"126686051","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478776
G. Cesarelli, L. Donisi, G. Caprio, M. Scioli, A. Biancardi, G. D'Addio
The study of posture and gait abnormalities has revealed over years potential information to improve the rehabilitation outcome of several classes of ill patients; nevertheless, this results still an area of research almost completely unexplored in the case of obese patients. Consequently, this study was designed as a preliminary investigation to determine potential statistical correlations between kinematic features and “gold standard” methodologies in the field, e.g., the Western Ontario and Mc Master University scale and the Barthel index. To this aim, physicians prepared bioelectrical impedance analyses and clinical assessments to evaluate patients' clinical scores, while biomedical engineers have organized Instrumented Stand and Walking tests to quantify several kinematic features using a microelectromechanical system equipped by a series of inertial measurement units. Finally, a statistical correlation analysis has allowed to reveal several features – related to patients’ anticipatory postural adjustments movements and gait – demonstrated a mild and moderate correlation with some clinical indices. In conclusion, this paper presents a novel view to address and design innovative rehabilitation strategies for obese patients.
{"title":"Statistical correlation analysis between kinematic features and clinical indexes and scales for obese patients","authors":"G. Cesarelli, L. Donisi, G. Caprio, M. Scioli, A. Biancardi, G. D'Addio","doi":"10.1109/MeMeA52024.2021.9478776","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478776","url":null,"abstract":"The study of posture and gait abnormalities has revealed over years potential information to improve the rehabilitation outcome of several classes of ill patients; nevertheless, this results still an area of research almost completely unexplored in the case of obese patients. Consequently, this study was designed as a preliminary investigation to determine potential statistical correlations between kinematic features and “gold standard” methodologies in the field, e.g., the Western Ontario and Mc Master University scale and the Barthel index. To this aim, physicians prepared bioelectrical impedance analyses and clinical assessments to evaluate patients' clinical scores, while biomedical engineers have organized Instrumented Stand and Walking tests to quantify several kinematic features using a microelectromechanical system equipped by a series of inertial measurement units. Finally, a statistical correlation analysis has allowed to reveal several features – related to patients’ anticipatory postural adjustments movements and gait – demonstrated a mild and moderate correlation with some clinical indices. In conclusion, this paper presents a novel view to address and design innovative rehabilitation strategies for obese patients.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"32 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":"126873538","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 : 2021-06-23DOI: 10.1109/MeMeA52024.2021.9478593
P. Arpaia, E. D. Benedetto, N. Donato, Luigi Duraccio, N. Moccaldi
A real-time monitoring system based on Augmented Reality (AR) and highly wearable Brain-Computer Interface (BCI) for hands-free visualization of patient’s health in Operating Room (OR) is proposed. The system is designed to allow the anesthetist to monitor hands-free and in real-time the patient’s vital signs collected from the electromedical equipment available in OR. After the analysis of the requirements in a typical Health 4.0 scenario, the conceptual design, implementation and experimental validation of the proposed system are described in detail. The effectiveness of the proposed AR-BCI-based real-time monitoring system was demonstrated through an experimental activity was carried out at the University Hospital Federico II (Naples, Italy), using operating room equipment.
{"title":"A Wearable SSVEP BCI for AR-based, Real-time Monitoring Applications","authors":"P. Arpaia, E. D. Benedetto, N. Donato, Luigi Duraccio, N. Moccaldi","doi":"10.1109/MeMeA52024.2021.9478593","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478593","url":null,"abstract":"A real-time monitoring system based on Augmented Reality (AR) and highly wearable Brain-Computer Interface (BCI) for hands-free visualization of patient’s health in Operating Room (OR) is proposed. The system is designed to allow the anesthetist to monitor hands-free and in real-time the patient’s vital signs collected from the electromedical equipment available in OR. After the analysis of the requirements in a typical Health 4.0 scenario, the conceptual design, implementation and experimental validation of the proposed system are described in detail. The effectiveness of the proposed AR-BCI-based real-time monitoring system was demonstrated through an experimental activity was carried out at the University Hospital Federico II (Naples, Italy), using operating room equipment.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"19 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":"116246667","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}
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