Nosratallah Forghani, K. Maghooli, N. J. Dabanloo, A. Farahani, M. Forouzanfar
{"title":"Automated, Portable, and Low-Cost System for Home Screening of Peripheral Arterial Disease","authors":"Nosratallah Forghani, K. Maghooli, N. J. Dabanloo, A. Farahani, M. Forouzanfar","doi":"10.1109/MeMeA52024.2021.9478761","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478761","url":null,"abstract":"Peripheral artery disease (PAD) is the manifestation of atherosclerosis where peripheral arteries are narrowed by the deposition of lipid and cholesterol and formation of fat fiber plaques on their walls. Occlusion and narrowing of the arteries may lead to several cardiovascular diseases and therefore in-time diagnosis and treatment of PAD is essential. There are several invasive and noninvasive methods to diagnosis of PAD, however, still an automated, easy-to-use, and affordable device for in-home monitoring of cardiovascular health is lacking. In this study, an oscillometric system is used to record arterial wall oscillations at different external pressures in lower and upper limbs. Wavelet transform is used to extract features from the amplitude of the recorded arterial wall oscillations and an adaptive neuro-fuzzy inference system (ANFIS) is used to identify PAD based on the extracted features. Because of the ANFIS high computational cost, linear discriminant analysis (LDA) is applied to the features to reduce their dimension before feeding them to ANFIS. The performance of proposed method is compared versus the conventional ankle-brachial test on a dataset of oscillometric recording obtained from 14 patients with PAD and 14 healthy individuals. Based on a five-fold cross validation, our method achieved an accuracy of 82% in detecting PAD. The results show promise toward the development of in-home cardiovascular monitors for cardiovascular health assessment.","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":"128010498","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}
S. Carraro, L. D’Alvia, Francesca Cerminara, Z. Prete, E. Rizzuto
{"title":"Design and response analysis of a circular patch resonator for adherent cell culture detection","authors":"S. Carraro, L. D’Alvia, Francesca Cerminara, Z. Prete, E. Rizzuto","doi":"10.1109/MeMeA52024.2021.9478716","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478716","url":null,"abstract":"The study of the interaction between electromagnetic waves and matter plays a crucial role in detecting materials under test (MUTs). Recently, radiofrequency (RF) planar resonator probes have been used to characterize MUTs by evaluating their dielectric properties. Many studies proposed these devices as biosensors, especially for dielectric measurement of living cellular suspension or even single cell. However, even though these cellular applications represent a starting point for medical diagnostic improvement, they do not consider cell interaction and adhesion. We proposed a preliminary study to design a circular patch resonator to detect adherent cell cultures in this work. Different configurations comprising a patch smaller, equal and greater than that of a standard culture Petri dish have been analyzed. The simulation results were then compared with the theoretical ones obtained applying the circular microstrip antenna’s empirical equation. Results showed that the simulation outcomes differed from the theoretical ones less than 1.5%. Finally, once the best patch diameter was identified, two other simulation sets were carried out to evaluate the antenna’s sensitivity. In the first set, we simulated the antenna response to four different volumes of culture medium (from 1.50 ml to 6.00 ml), while in the second one, we simulated the antenna response to different levels of C2C12 cell confluence in a fixed volume (1.5 ml) of culture medium. The results showed that the designed probe could discriminate between medium and C2C12 culture cells based on their permittivity change.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"28 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":"123594516","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}
{"title":"Comparison of Portable Calibrator Produced in TUBITAK UME for the Calibration of Infrared Ear Thermometers with the Primary Calibration System","authors":"H. Durmuş, B. Karaböce","doi":"10.1109/MeMeA52024.2021.9478733","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478733","url":null,"abstract":"Infrared ear thermometers (IRETs) have been used extensively in recent years, especially both in health care facilities and increasingly at homes to measure body temperature in an easy, fast, simple, non-invasive and practical way. As the tympanic membrane or eardrum is very close to the hypothalamus in the brain that controls body temperature and shares blood, it reflects body temperature in the best way. Infrared thermometers are devices that measure body temperature by detecting thermal radiation from the tympanic membrane. In medical diagnostic and clinical applications, ear thermometers, which are commonly used nowadays, need to be monitored within the traceability chain to see if they work within the proper accuracy limits. For this reason, both the primary level calibration system and portable calibrator of IRETs have been developed in TÜBİTAK UME. In this study, the measurement results of the laboratory type ear thermometer reference system and portable calibrator developed for the calibration of infrared ear thermometers were compared with each other and it has been discussed whether these two systems meet the requirements of ASTM 1998 and EN 2003 standards.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"30 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":"128299658","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}
{"title":"Pattern of errors in Raven’s Colored Progressive Matrices and their use in the clinical assessment of intelligence","authors":"D. Petretto, P. Grassi, C. Masala, E. Nicotra","doi":"10.1109/MeMeA52024.2021.9478720","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478720","url":null,"abstract":"Since his pioneer studies, Raven demonstrated the importance of qualitative and quantitative analysis of the performance in his Progressive Matrices Test, both in normative and clinical samples (Raven 1936, 1941a, 2000, Raven et al., 1995). He described four types of erroneous responses, named as follow: 1) difference error; 2) figure repetition error; 3) inadequate individuation error: 4) incomplete correlate error. Raven claimed that the qualitative analysis of the pattern of errors could be useful in the analysis of the level of reasoning used during the execution of the test: each error can have a different level of sophistication, the more sophisticated error is the more similar to the correct option (Raven et al., 1995) and each error gives some indication of the processes and the strategies used during the solution of the item(Raven et al., 1990). Moreover, there is a general agreement on the usefulness of qualitative error analysis to collect more information on the reasoning abilities. The present study aims to propose some findings of the assessment of the pattern of errors on Raven’s Colored Progressive Matrices in a kindergarten and primary schoolsample and to propose some hints of analysis on the role of the evaluation of types of errors from a clinical point of view. We also discuss about the use of pattern of errors evaluation as a way to gain information about reasoning during intelligence assessment. We also discuss its use during the current COVID-19 pandemic, as a way tocollectas more information as possible about reasoning in each individual, even with the use of e-platforms, like the ones used as alternative to face-to-face assessment of intelligence.","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":"130614170","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}
Sofia Romagnoli, Ilaria Marcantoni, Katyana Campanella, A. Sbrollini, M. Morettini, L. Burattini
{"title":"Ensemble Empirical Mode Decomposition for Efficient R-Peak Detection in Electrocardiograms Acquired by Portable Sensors During Sport Activity","authors":"Sofia Romagnoli, Ilaria Marcantoni, Katyana Campanella, A. Sbrollini, M. Morettini, L. Burattini","doi":"10.1109/MeMeA52024.2021.9478598","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478598","url":null,"abstract":"Wearable and portable electrocardiographic devices are revolutionizing athlete’s screening through digital health application enabling a continuous monitoring of important cardiac parameters in real-time. Automatic examination of electrocardiogram (ECG) acquired during sport activity is challenging because acquisition conditions often lead to record ECGs with low signal to noise ratio (SNR). The initial issue of automatic ECG analysis is the identification of R peaks. R peaks are fundamental for the estimation of heart rate, which is the primary clinical parameter used by athletes for athletic performance evaluation. Thus, the aim of this research is to propose an R-peak detection algorithm for ECGs acquired during sport activity by portable and wearable sensors dealing with low SNR. The algorithm is based on a noise assisted data analysis method: Ensemble Empirical Mode Decomposition method (EEMD). Localization of R peaks is primarily performed on the first intrinsic mode function extracted by the EEMD. The algorithm was tested on ‘Run on indoor treadmill’ dataset from Physionet. ECGs were acquired during running/light jogging on an indoor treadmill and present a low SNR (1±7 dB). The developed EEMD-based algorithm showed good performances in terms of positive predicted value (91.08%), sensitivity (92.76%), false discovery rate (8.92), false negative rate (7.24%), cumulative statistical index (83.84%) and mean R-peak position error 1.10 [0.46;1.46]ms. EEMD-based algorithm performs efficiently also in computing heart rate. In conclusion, the developed R-peak detection EEMD-based algorithm showed good level of performances even working on low-SNR ECG acquired during sport activity by portable sensors.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"61 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":"132167394","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}
{"title":"Dynamic Shear and Normal Forces on Patient Skin in Sling Lift Transfers","authors":"Steven Cramp, Bruce Wallace","doi":"10.1109/MeMeA52024.2021.9478758","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478758","url":null,"abstract":"The sling lift transfer system is commonly used in hospital and care home settings to transfer immobile and limited mobility patients from bed to chair or gurney. Even though this is the current standard of care, injuries to patients because of the forces applied to skin by the lift occur frequently. The lifts cause both normal and shear forces on the skin, and previous studies have only measured and reported on the applied normal forces with no assessment of shear. In this work, we use a novel shear and normal force sensor designed specifically to assess forces on skin and report the dynamic normal and shear forces during a sling lift. The shear forces are shown to be up to 8N for a partial lift of an adult male and occur both laterally and longitudinally along the thigh. Shear forces pull the skin and can cause injury, especially as skin tends to thin with age and become more susceptible to damage. This is the first reporting of shear forces during patient lifts.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"63 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":"114969190","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}
{"title":"Autonomic Nervous System Assessment During Physical Rehabilitation Serious Game","authors":"M. Rodrigues, O. Postolache, F. Cercas","doi":"10.1109/MeMeA52024.2021.9478742","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478742","url":null,"abstract":"This study is aimed to analyze the correlations between heart rate variability (HRV) and a virtual reality (VR) serious game for physical rehabilitation. The possibility to use serious exergames as tools of ambient assisted living to promote physical activities during the COVID-19 pandemic lock-down period is considered appropriate to enhance patients’ engagement in physical rehabilitation exercises performed at home. The analyzed data in this study provides HRV information collected from a small group of healthy volunteers that participated in two gameplay sessions of the VR serious exergame. Two levels of difficulty were considered. HRV parameters were calculated from the analysis of electrocardiograms (ECG) for an imposed protocol characterized by three different periods (rest, play and rest) The HRV analysis was based on time-domain and frequency-domain methods and the experimental results showed significant changes associated with different game sessions. Higher values of HF components and RMSSD were obtained for a less physical demanding gameplay session, whereas the predominance of LF components was observed for the game session with high level of difficulty. These findings suggested that this serious game had an important impact on both physical and cognitive stimulation, and therefore its implementation in home-based assisted environments can help increase weekly performance of physical activity, enhance balance and limbs mobility, help to reduce anxiety levels, and maintain high levels of HRV.","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":"131834731","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}
Ana Jiménez Martín, Ismael Miranda Gordo, David Gualda Gómez, S. G. D. Villa, Sergio Lluva Plaza, Juan Jesús García Domínguez
{"title":"BLE-based approach for detecting daily routine changes","authors":"Ana Jiménez Martín, Ismael Miranda Gordo, David Gualda Gómez, S. G. D. Villa, Sergio Lluva Plaza, Juan Jesús García Domínguez","doi":"10.1109/MeMeA52024.2021.9478752","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478752","url":null,"abstract":"This work proposes a system to detect changes in daily routines in a controlled environment, such as a sensorized-home. Variations in routines can be indicative of physical or cognitive decline in elderly adults, which makes it very attractive to support independent living and healthy ageing. Our proposal is based on an indoor symbolic location system based on low-cost and easy-to-install Bluetooth Low Energy (BLE) transmitter beacons, together with a mobile receiver. The user's symbolic location is estimated from the Received Signal Strength Indicator (RSSI) and K-Nearest Neighbour (KNN) model, which is merged with the acceleration provided by the receiving mobile device. The location is used to estimate the time spent in each monitored room, to infer a time-based routine. The symbolic localization has an accuracy higher than 96%. The subsequent daily monitoring allows for the detection of variations with respect to a defined routine that can serve as an alarm for the user, family members or caregivers.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"50 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":"132911743","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}
Michela Franzo', Simona Pascucci, M. Serrao, F. Marinozzi, F. Bini
{"title":"Kinect-based wearable prototype system for ataxic patients neurorehabilitation: software update for exergaming and rehabilitation","authors":"Michela Franzo', Simona Pascucci, M. Serrao, F. Marinozzi, F. Bini","doi":"10.1109/MeMeA52024.2021.9478668","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478668","url":null,"abstract":"The aim of this study is to evaluate the differences introduced by an update of implemented code between the two version of prototype for ataxic patients’ neurorehabilitation device. The rehabilitation consists in virtual exercise for the patient to improve his control of the upper arm during daily movement. The prototype is based on the Microsoft Kinect device to acquire subject’s position and on the Arduino board with accelerometer/gyroscope sensor to acquire kinematics quantities of the wrist during the task. Two subjects were analysed with 2.0 version of the prototype and they were compared to 2 of 20 subjects selected from the first control group to highlight the differences between the two versions.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"224 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":"134314530","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}
{"title":"Non-Linear and Chaos-based Analysis of Electroretinogram","authors":"S. Behbahani, S. Rajan","doi":"10.1109/MeMeA52024.2021.9478719","DOIUrl":"https://doi.org/10.1109/MeMeA52024.2021.9478719","url":null,"abstract":"Electroretinogram (ERG) is well-known for direct retinal function measurement. ERG responses to flicker stimulation can cause cyclic and oscillating changes in amplitude. Flicker response analyses are mostly based on amplitude and implicit time. However, non-linear analysis can also provide valuable information about the retinal function. In this paper, we investigate the flicker response using non-linear and chaotic features such as Approximate Entropy (ApEn), Hurst Exponent (HE), and Largest Lyapunov Exponent (LLE). Flicker responses were obtained from four groups with 16 subjects in each: one group with healthy subjects and three groups with central retinal vascular occlusion (CRVO), diabetic retinopathy (DR), and retinitis pigmentosa (RP) subjects, respectively. Statistical analysis shows that these non-linear and chaosbased features can distinguish the diseases and further indicate that the ERG has more complexity in healthy subjects than retinal disease subjects.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"23 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":"116718017","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}