2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)最新文献

{"title":"Machine Learning-based Feature Extraction Method for Sleep Stage Classification","authors":"Henry Tagimae, Shiu Kumar, V. Groza, Joeli Rakaria, M. Assaf, Rahul Kumar, E. Petriu","doi":"10.1109/MeMeA57477.2023.10171878","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171878","url":null,"abstract":"Sleep stage classification is important in diagnosing and treating sleep disorders, but current methods have limitations. An automatic feature extraction method for sleep stage classification using a convolutional neural network (CNN) is proposed. The method extracts channels from raw data, resizes them into sequential functions, and feeds them into a CNN architecture designed to extract relevant features. The proposed method is evaluated on the ISRUC raw sleep dataset, achieving an accuracy of 72.6% on 60 subjects with 11 channels. Comparison with state-of-the-art methods showed that the proposed strategy using PhysioNet Database achieved a higher accuracy of 74%. Learned feature extraction methods are more effective than other preset feature extraction methods. However, challenges still exist, such as using multichannel data and big data. Further research is needed to address these challenges and improve performance. The proposed strategy shows promise in improving the accuracy of sleep stage classification, which can aid in diagnosing and treating sleep disorders.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115976977","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":"Analysis of Survival Probability and Its Association with Time to Task Failure in Induced Fatiguing Dynamic Contractions of Biceps Brachii Muscle using Surface Electromyography","authors":"S. Sowmya, S. Banerjee, Swaminathan Ramakrishnan","doi":"10.1109/MeMeA57477.2023.10171936","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171936","url":null,"abstract":"In this study, an attempt has been made to model the survival probability of muscle to predict time to task failure (TTF) during dynamic fatiguing contractions. For this purpose, seventy-three subjects are recruited to perform dynamic elbow flexion task with 3 kg and 6 kg-load dumbbells. Surface electromyography (sEMG) signals are recorded from the belly of biceps brachii muscle and time to task failure is noted. Survival analysis is performed using two probabilistic models, namely Weibull and Log-logistics, and Akaike Information Criteria (AIC) is utilized for model comparison. The results show that both types of distributions can be used to model the survival probability of muscle during fatiguing task. The AIC values are comparable between models, but it is found to be higher in case of loading with 6 kg. For twice the loading levels, the ratio of the scale parameters of distribution models are found to be 2.80 and 2.43 respectively, which is comparable with the ratio of 2.60 for the median RMS value in the first curl. The results demonstrate that the approach to model survival probability of muscle can aid in prediction of TTF during fatiguing tasks. This study could be clinically relevant in domains of sports medicine and applied ergonomics.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122493839","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":"Motor abilities analysis using a standardized tapping test enhanced by a detailed processing stage: gender and age comparison","authors":"T. D. Libero, C. Carissimo, G. Cerro, A. Abbatecola, Alessandro Marino, G. Miele, L. Ferrigno, A. Rodio","doi":"10.1109/MeMeA57477.2023.10171922","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171922","url":null,"abstract":"Wearable sensors have now become an essential reality in sports to assess motor gesture characteristics and health care in diagnosing movement-related diseases. Inertial devices can be used to reliably test an individual’s motor abilities, avoiding human operator-related errors and providing an automated, accurate and reproducible assessment methodology. This paper proposes a new data processing method for assessing upper limb dexterity abilities based on the standard tapping test protocol using a single IMU sensor. The tapping test is a neuromotor examination that measures a subject’s speed and handling of motor abilities. The purpose of this study was to collect normative data for a sensor-assisted tapping test to evaluate its performance against a standardized method. The study was conducted on 53 students aged 21-30 years. Tapping motion was measured with an IMU sensor placed on the left and right index fingers during five 10-second trials. Differences were found between the genders, dominant and non-dominant hands, number of taps, amplitude range, and intertemps. With the sensor, efficient and accurate assessment of tapping speed and movement kinetics was possible, making it useful for scientific and clinical investigations of motor function. Future purposes include replication of this work on patients with neurodegenerative diseases. This assessment method could help track the course of the disease and the effectiveness of the various treatments patients undergo.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116014924","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":"Preventing, Monitoring and Treating Foot Conditions in Medical Robotic Rehabilitation","authors":"A. Lay-Ekuakille, R. Gutierrez, C. Chiffi","doi":"10.1109/MeMeA57477.2023.10171863","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171863","url":null,"abstract":"The standing posture, gradually carried out, is one of the best and efficient activities for supporting the neuro-physio-rehabilitation of the bedridden people suffering from diverse pathologies. It allows the increasing of the amount of circulating oxygen within the human tissues, hence, a major vascularization. This latter produces a certain amount of heat delivered by the body, allowing to study different pathologies. Clubfoot is a particular spastic disorder that causes weakness in the feet and provoke patients to stand on their ankles. In post acquired spastic foot (non-congenital cases), that can be caused by stroke or brain injuries, rehabilitation treatments need to be early applied helping to maintain physical correction of the body and regain strength on weak muscles. The paper treats the modeling and the measurement to be performed on feet in order to, first prevent clubfoot, if insisting to try to take care of it, and after, to extract information about it in the effort to prevent other subsequent pathologies. Infrared thermal sensors are used to extract necessary information about temperature variation on the ankles through gradually verticalization of the body using a medical robotic bed and a digital model that has been traced out to make comparison and perform deep analysis.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"598 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116324045","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":"Normative Values of Heart Rate Variability During Sleep in Indian Population","authors":"PT AishwaryaRanbhor, S. Preejith, M. Sivaprakasam","doi":"10.1109/MeMeA57477.2023.10171932","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171932","url":null,"abstract":"Heart rate variability (HRV) measurement is a noninvasive method to assess the autonomic nervous system. Therefore, conducting HRV measurements to asses many risk factors including cardiovascular is gaining popularity in athletic, non-athletic, and clinical populations. An electrocardiogram (ECG) is the most reliable tool to measure HRV, but using heart rate monitors like wristbands, watches, and chest bands are more useful during ambulatory or fitness-related activities. Studies have been conducted for the wake time HRV in various populations, but HRV measurements during sleep have not been conducted yet. The time domain of HRV quantifies the amount of variability in measurements of the inter-beat interval (IBI), which is the time period between successive heartbeats. This study analyzed time-domain sleep HRV in a large sample (n = 300) of a healthy young population. ECG of subjects were recorded during sleep using the Repose chest wearable. The ECG was preprocessed and analysed by Repose platform. Kubios standard software (version 3.5) was used to measure the sleep time HRV parameters. It was found that the HRV for 15-minute deep sleep window can reliably give a baseline data against which wake time HRV can be compared. It was also found that males have significantly (p<0.05) higher HRV compared to females. In conclusion, this study provided normative data for sleep time-domain HRV parameters and also reflected that females have higher sympathetic activity compared to males in the Indian population. These values will help compare the clinically or otherwise measured HRV to the benchmarks established by the study.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117025781","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":"Repeatability and Reproducibility of Flow Mediated Dilation Measured using ARTSENS","authors":"V. Raj Kiran, N. Sudarsan, P. Nabeel, J. Joseph","doi":"10.1109/MeMeA57477.2023.10171953","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171953","url":null,"abstract":"Non-invasive assessment of endothelial function (EF) is clinically important to monitor early vascular aging and cardiovascular risks. Current devices are imaging ultrasound-based, using dedicated software packages for EF assessment via brachial flow-mediated dilation (FMD). Such devices often come as a workstation that are not field amenable. Additionally, the required special software packages are not featured in affordable entry-level devices. We have developed an image-free ultrasound technology for measuring arterial stiffness and demonstrated its field usability earlier. In this work, we have employed an evolved form of technology for fully automated measurement of FMD. An in-vivo study was conducted on 30 healthy subjects to investigate the repeatability and reproducibility of the measurements furnished by the device. The device was able to measure the continuous end-diastolic diameter values and capture its variations over the course of the complete FMD protocol. Cycle cutting algorithm screened the measurements from individual beats with a sensitivity and specificity 94%. The brachial diameter measurements during baseline (2.27 - 5.17 mm) and dilation phases (2.61 - 6.00 mm) concur with the ranges reported in the literature, and so does the FMD (4.67-38.32%). The intra- and inter-operator measurement demonstrated excellent repeatability ($ICCgt 0.95$). Future studies in this regard include establishing the device’s accuracy against imaging reference, deeming it suitable for clinical and field deployment.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125487586","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":"Hazardous Biomolecules Sensing in Water using Nanostructured Metal Oxides","authors":"Hyunho Seok, Aneesh Koyappayil, Sihoon Son, Min-Ho Lee, Taesung Kim","doi":"10.1109/MeMeA57477.2023.10171875","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171875","url":null,"abstract":"Since COVID-19, the importance of prevention from harmful biomolecules has emerged as the biggest problem in our life. For this, efficient and advanced biosensor should be considered having high sensitivity and multiple detection capabilities. In addition, flexible and disposable electrodes attracted attention for their cost-efficiency, weight reduction, and ease of use. Here we report highly sensitive individual and simultaneous detection of industrial environmental pollutants, catechol (1,2-dihydroxybenzene) and hydroquinone (1,4-dihydroxybenzene), using mesoporous WO3 decoration on flexible electrode by electrospray method. Electrochemical measurement such as differential pulse voltammetry and cyclic voltammetry experiments showed that the redox peaks current depending on the target biomolecules. We observed a limit of detection of 0.49 uM for catechol and 0.99 uM for Hydroquinone. The proposed mesoporous WO3 decorated on flexible electrode have been successfully applied to individual and simultaneous measurements of catechol and hydroquinone with high sensitivity, wide linear range, and low detection limits toward hazardous pollutants. In addition, the actual aspect of the proposed sensor could be confirmed through actual sample analysis using river water analysis. Manufactured nanostructured WO3 electrodes derive an efficient approach and will open a new pathway as an effective technology to develop efficient and advanced electrochemical measurement-based biosensors for simultaneous detection capability for future environment issues in indoor air quality, water pollutions, potential contamination in public place.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127286150","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":"A Personal Home Office Helper","authors":"B. Tusor, Š. Gubo, A. Várkonyi-Kóczy","doi":"10.1109/MeMeA57477.2023.10171889","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171889","url":null,"abstract":"In recent decades, the sedentary lifestyle has become more and more widespread, both in home life and office work. During the COVID-19 pandemic, working from home became the norm for long months in many countries around the world due to lockdowns, and though home office work can be beneficial in certain aspects, unfortunately it more often than not comes with an inactive lifestyle. The potential negative health effects of spending lengthy time periods sitting or lying down with little to no exercise (such as chronic diseases and mental health problems) has been extensively researched and documented. Numerous studies have shown that introducing breaks is important to reduce the chance of negative health effects at some degree, but when the task at hand requires focus and undivided attention, watching time for breaks can be quite difficult. Furthermore, insufficient water-intake and an unhealthy diet are also often negative side effects of a sedentary lifestyle.In this paper, a novel Intelligent Space-based application framework is proposed that aims to help users with a sedentary work-and lifestyle in improving their health: helping the user with time management (notifying them about breaks, scheduled water-intake, etc.); providing information about dietary intake and providing recommendations about introducing small, incremental changes in their diet; and finding patterns in the observed behavior of the user in order to inform them about unconscious (and potentially harmful) habits.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"16 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123500036","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":"Quantitative Assessment Of Carotid Diameter Measurements In Parallel Versus Rotated And Tilted Orientation Using Ultrasound In The Operating Room – A Comparative Analysis","authors":"E. D. Boer, C. D. Fernandes, Danihel van Neerven, Christoph H. Pennings, Rohan Joshi, Sabina Manzari, S. Shulepov, Luuk van Knippenberg, John van Rooij, R. Bouwman, M. Mischi","doi":"10.1109/MeMeA57477.2023.10171909","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171909","url":null,"abstract":"Hemodynamic monitoring is of utmost importance when treating critically ill patients, but currently used techniques are invasive and associated with catheter-related complications. Carotid artery ultrasound (US) has been investigated as a non-invasive alternative, including for cardiac output estimation, in which vessel diameter and blood flow velocity are needed to compute flow. Traditionally, carotid flow measurements are performed in the long-axis (LA) view, in which the probe should be properly positioned along the mid-axis to obtain an accurate blood flow calculation. However, obtaining and maintaining this mid-axis LA view is difficult, and operator experience may impact the reliability of the measurements. Therefore, a view that is robust to motion while providing accurate diameter and velocity estimates is clinically desirable. An alternative view is obtained by rotating and tilting the probe, which is easier to visualize and assess for sonographers, and preliminary evidence suggests it might be more robust to motion and less operator-dependent than the LA view. To evaluate these findings in a clinical setting, we performed carotid Doppler measurements in 25 adult cardiac surgery patients with a LA and RT probe orientation intending to compare diameter estimates. Short-axis (SA) measurements were used as a reference, as these represent the most truthful depiction of the vessel’s cross-sectional area. Per 30s US recording, the median and spread in diameter values were computed and differences between views were statistically compared. Preliminary results of the first 18 patients show that the median RT diameter values were comparable to those of the SA (p=0.349), whereas the median LA values were smaller (p<0.001). With respect to the SA view, the spread in diameter values during the 30s measurements was lower for the RT view (p=0.014) and comparable for the LA view (p=0.306). These preliminary findings seem promising for the usage of the RT view to enable free-hand US measurements and usage of the view in wearable US devices. Future analysis comprises expansion of the current results and investigating inter- and intra-operator reliability of the different views.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124773992","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":"A convolutional neural network model for T-stage prediction of rectal cancer using CT images","authors":"Mingye Han, Q. Jia, Tingwei Xiong, Yixing Gao, Peng Liu, Jia Yan","doi":"10.1109/MeMeA57477.2023.10171892","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171892","url":null,"abstract":"Rectal cancer is a common malignant disease that accounts for a high proportion of tumors of the gastrointestinal system and poses a high risk of death. Therefore, it is important for patients to be preoperatively staged accurately, which helps define an effective surgical treatment plan. The aim of this paper is to combine deep learning methods with CT for preoperative T-staging of rectal cancer. In this paper, we improved AlexNet and proposed a fast and effective classification network called the attention residual convolution neural network (ARCNN). On the one hand, residual structures are introduced to prevent the degradation of neural networks, and on the other hand, the convolutional block attention module (CBAM) is added to improve model performance from both spatial and channel dimensions. The combination of residual structure and attention mechanism can improve the ability of the model to extract features, effectively reduce the interference of invalid features, and thus enhance the model’s ability to classify CT images. We used all 3,090 CT images from 318 patients with rectal cancer for training and testing. The model efficiently learns the characteristics of rectal cancer in different stages during training. The classification accuracy on the test set can reach 99.78%. Compared with other comparison deep learning models, our proposed classification model is an efficient and accurate T-staging prediction method for rectal cancer.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116530874","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}