2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)最新文献

{"title":"Challenges with Audio Classification using Image Based Approaches for Health Measurement Applications","authors":"Madison Cohen-McFarlane, R. Goubran, Bruce Wallace","doi":"10.1109/MeMeA49120.2020.9137254","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137254","url":null,"abstract":"Image classification has had huge success in recent years, mainly due to the vast array of databases available. The lack of audio databases presents a problem when it comes to creating a deep neural network classifier aimed at measurement and monitoring of health-related sounds. Such sounds (i.e. cough) can be indicative of worsening health conditions, specifically as it relates to remote monitoring of older adults. The application of pre-existing deep neural network image classifiers to audio classification has been presented as a potential solution. This paper describes some of the issues associated with utilizing audio spectrograms to retrain the AlexNet image classifier for the purpose of remote patient monitoring. The spatial invariance assumption of the classifier is further investigated by creating two different classification tasks based on spectrograms computed from notes on a classical piano at four different noise levels; (1) octave classification and (2) note classification. As expected, the AlexNet classifier with clean data performs better when classifying octaves (98%), when compared to the note classification (83 %). When evaluating on audio with noise, the note classifier performance decreases more than the octave classification performance.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121812985","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":"Assessment of mobility deficit and treatment efficacy in adhesive capsulitis by measurement of kinematic parameters using IMU sensors","authors":"M. Ajčević, M. Deodato, L. Murena, A. Miladinović, S. Mezzarobba, P. Accardo","doi":"10.1109/MeMeA49120.2020.9137157","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137157","url":null,"abstract":"There is a growing research interest towards the use of wireless IMU sensors to assess disability, monitor progress and provide feedback to patients on range of motion and movement performance during upper body rehabilitation. The quality of movement in patients with adhesive capsulitis and relative treatment efficacy has not yet been studied using inertial and magnetic sensors. The aim of this study was to investigate the possibility to quantitatively evaluate capsulate-related deficit versus healthy controls and to assess treatment efficacy by measurement of shoulder kinematic parameters with ISEO protocol using inertial and magnetic measurement system technology. We enrolled 6 patients with adhesive capsulitis (AC) who underwent the experimental assessment by using a set of wireless IMU sensors at the baseline (T0) and after the 15 one- hour individual sessions of physiotherapy (T1). The range of motion in elevation, abduction and the scapulo-humeral rhythm kinematic parameters were extracted from measurements performed in enrolled AC patients and in 7 healthy controls. The results of this preliminary study showed that proposed approach based on measurement of shoulder kinematic parameters with ISEO protocol using IMU wireless sensors can be useful in mobility deficit assessment of patients with adhesive capsulitis, as well as for monitoring of treatment efficacy and its further personalization.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125239231","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":"Adverse Patient Events in Anesthesia Delivery – Review and Analysis of Potentially Avoidable Events","authors":"L. Dinia, F. Mangini, Ilaria Mileti, E. Palermo, F. Frezza","doi":"10.1109/MeMeA49120.2020.9137240","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137240","url":null,"abstract":"The paper examines the MDR (Medical Device Reporting) reportable events reported to Food and Drug Administration (FDA) from medical device manufacturers and caregivers in the US market. A review of all MDRs reported between October 2014 and September 2019 is performed. The MDRs under analysis are related to adverse patient events, in particular to deaths and serious injuries. The study will provide a trend of patient safety as a result of the adverse patient events reported in the five considered years.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116647347","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":"HoSè: Hospital Security - How to make the surgical site safer using RFID blockchain and biometric techniques","authors":"G. Mastronardi, Sabina Ilaria Tatò","doi":"10.1109/MeMeA49120.2020.9137348","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137348","url":null,"abstract":"The HoSè project can allow the significant reduction of human error by implementing access control functions to the operating theater: epidemiological studies have shown that post-operative mortality is related to poor intraoperative hygiene. There are already technologies on the market that can allow the above functions individually. However, this work intends to raise the need for their integrated use (RFID, biometric techniques and blockchain technology), in order to allow a more rigorous control in compliance with the various health protocols and privacy.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120946067","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":"Use of training with BCI (Brain Computer Interface) in the management of impulsivity.","authors":"N. S. Bonfiglio, D. Parodi, D. Rollo, Roberta Renati, E. Pessa, M. P. Penna","doi":"10.1109/MeMeA49120.2020.9137202","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137202","url":null,"abstract":"Impulsivity represents one of the risk factors strongly related to dependent behavior in subjects with a diagnosis of substance dependence. The risk appetite, in particular, represents a construct connected with other components such as jumping to conclusion and risk taking.There are several forms of treatment used with subjects who have problems related to impulsivity. A good part of these is aimed at subjects with ADHD (Attention Deficit Hyperactivity Disorder), in the form of training or exercises implemented on software. This work aims to evaluate the use of training for concentration, attention and meditation on reducing risk appetite. The experimental design, of a pre-post type, involves assessing the risk appetite before and after training, to be carried out in six sessions over two weeks. The comparison between the experimental group and the control groups showed significant efficacy in reducing the levels of impulsivity in subjects with addiction.This work represents a pilot study on the possible use of meditation, concentration, and training exercises and demonstrates how these can be considered as excellent forms of training for the reduction of impulsiveness and risk appetite, showing their feasibility in the contexts of intervention and cure for addictions.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121248618","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":"Cyclic compression fatigue behaviour of PET-G tooth aligners","authors":"C. Cianci, G. Pappalettera, G. Renna, C. Casavola, M. Laurenziello, C. Pappalettere, D. Ciavarella","doi":"10.1109/MeMeA49120.2020.9137162","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137162","url":null,"abstract":"Mispositioning of teeth is a medical condition which is treated by the dentist by the application of a properly designed system of forces that progressively move the teeth to the correct position. Nowadays this is often obtained by the so called invisible aligners. Those are devices which are put in contact with the dental structures and act in the direction of progressively shifting the teeth. The passage from the initial position to the final desired one is obtained by a series of intermediate steps which are achieved by a specific aligner so that, usually, each aligner is made to work for about two weeks. Based on this important consideration, in this paper, the mechanical properties of Polyethylene Terephthalate-Glycol (PET-G), one of the most used materials for manufacturing aligners, were studied. In particular, the fatigue behavior was analyzed both in normal environment and under simulated intraoral conditions. In this work, moreover, two different thicknesses of the aligners were analyzed. Typically, during their lifetime, aligners are subjected to 22500 loading cycles, this condition was replicated in our study and during each cycle aligners were loaded up to 50 N. For testing purposes, the aligners were mounted directly on a dental cast and this was clamped to a loading machine. Results of the test show that aligners exhibit an increasing stiffness as the cycling loading progresses, this is observable by a reduction of the crosshead displacement indicating the occurrence of cyclic hardening phenomena. Moreover, at least for the analyzed range of cycles and loads, the aligners display a tendency to strain accumulation. Finally, an effect of residual strain recovery was also observed subsequent to removal of the applied load.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124894168","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":"Design of Robot-based Measurement System for the Quality Assessment of Ultrasound Probes for Medical Imaging","authors":"F. Bertocci, A. Grandoni, L. Francalanci, A. Fabbrizzi","doi":"10.1109/MeMeA49120.2020.9137326","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137326","url":null,"abstract":"The collaborative robot becomes very attractive applied to the manufacturing process of the ultrasound (US) probes for medical imaging, in which the electroacoustic characterization (pulse-echo test) plays a crucial role for the final product quality assessment. Unfortunately, commercial measurement systems show poor automation features and they are totally worker dependent that negatively affects both the operating cycle time and the data reproducibility, especially for the calibration phase. The aim of this feasibility study is to design a partially automated system for limiting the variability and the cycle time of the measurement by means of a collaborative robot, UR5, with an electric gripper and a 3D-printed adapter. Preliminary tests suggested that the collaboration between a collaborative robot, the so-called co-bots, and the human could open to a tangible advantage in terms of efficiency for the US probes manufacturing process. The higher repeatability performance of the co-bot with the reduction of the calibration time compared to the manual approach helps the trained worker for enhancing the quality assessment in an industrial scenario of thousands-demand per year of medical ultrasound probes.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129824839","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":"Repetitively Driven Trips as a Measure of Older Adult Driver Cognitive Health – Three Case Studies","authors":"Jennifer Howcroft, Bruce Wallace, R. Goubran, S. Marshall, M. Porter, F. Knoefel","doi":"10.1109/MeMeA49120.2020.9137177","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137177","url":null,"abstract":"Older adult in-car driving data represents a valuable data source where successful measurement and interpretation could assist clinicians in driving fitness assessments. One of the measurement challenges with naturalistic driving assessments is the many possible sources of variability. Therefore, focusing measurements on a trip that is driven repetitively over a sustained period of time may reduce sources of variability and increase utility in driving assessments. In this study, repetitive-trips with two destinations that were driven at least 20 times during the first year of driving were investigated across a period of five years for three different older adult drivers with the goal of providing a preliminary evaluation of the value of repetitive-trip-focused metrics. The three older adult drivers had three different cognitive health statuses: one with better, relatively stable cognitive health and two with declining cognitive health associated with different cognitive assessments. The repetitive-trip-derived metrics included trip frequency, velocity metrics (mean, standard deviation, percentiles, and coefficient of variation), and route similarity. The older adult driver with better, relatively stable cognitive health had relatively stable driving patterns. The older adult driver with a marked, early decline in Trails Making B-measured cognitive health appeared to drive slower and with a higher portion of driving time spent stopped. The older adult driver with a gradual, sustained decline in MoCA-measured cognitive health had gradual changes in driving behaviours across the five-year period related to frequency, velocity, and route similarity. Therefore, this study provides a preliminary indication that repetitive-trips may provide a useful measure of older adult driving performance related to cognitive health status by reducing sources of variability. Future work is needed to assess these initial findings on a larger sample of older adult drivers.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130311665","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":"Blind Deterministic Compressive Sensing for Biomedical Images","authors":"H. Zanddizari, Dipayan Mitra, S. Rajan","doi":"10.1109/MeMeA49120.2020.9137191","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137191","url":null,"abstract":"Compressive sensing (CS) enables us to reconstruct a signal from a few number of measurements obtained from a random or deterministic measurement matrix. Knowledge of the sparsifying basis of the signal is required for the recovery process. In this work, we use a recently developed deterministic measurement matrix and demonstrate recovery of the original signal from compressed samples without the knowledge of the sparsifying basis or the order of sparsity. We experimented this recovery on the Biomedical images. Using smoothed ℓ0-norm (SL0) as a recovery algorithm, the original images were recovered from CS measurements with high quality.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130525354","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":"Measurement of Local Pulse Wave Velocity using Fast Ultrasound Imaging","authors":"Kumar Abhinav Singh, A. Sahani","doi":"10.1109/MeMeA49120.2020.9137345","DOIUrl":"https://doi.org/10.1109/MeMeA49120.2020.9137345","url":null,"abstract":"Carotid to femoral pulse wave velocity (cfPWV) is considered as the gold standard of arterial stiffness. We hypothesize that local pulse wave velocity (LPWV) may be a close surrogate of the cfPWV. Current method of measuring cfPWV is intrusive, inconvenient and requires manual measurement of carotid-femoral distance. While other measures of arterial stiffness can be done using ultrasound imaging, cfPWV required separate specialized equipment. In this paper, we provide a proof of concept of possibility of measuring LPWV on fast ultrasound frames. We used Verasonics® Vantage-256 Research ultrasound system to obtain longitudinal carotid frames at a frame rate of more than 750 frames per second. Diameter waveforms are obtained from two ends of these longitudinal frames. The minute time shift between these waveforms is used to calculate the time of flight of the waveform from one end of the carotid to other. The known distance between pixels on beamformed frames are used to calculate the LPWV. Measurements for five human volunteers were obtained which were found to statistically equal to the cfPWV measured using SphygmoCor.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123607760","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}