2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)最新文献_第3页

Eliminating Vertical Fixed Pattern Noise in CMOS-Based Endoscopic Images using Modified Dark Frame Subtraction 修正暗帧减法消除cmos内镜图像中的垂直固定模式噪声

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171876

Ajay Kumar Gurrala, GS Rahul, Amalan Sebastin, S. Preejith, M. Sivaprakasam

{"title":"Eliminating Vertical Fixed Pattern Noise in CMOS-Based Endoscopic Images using Modified Dark Frame Subtraction","authors":"Ajay Kumar Gurrala, GS Rahul, Amalan Sebastin, S. Preejith, M. Sivaprakasam","doi":"10.1109/MeMeA57477.2023.10171876","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171876","url":null,"abstract":"Complementary Metal Oxide Semiconductor (CMOS) image sensors are widely used in medical endoscopy because of their small size, low power consumption, and high sensitivity. However, they can suffer from vertical fixed pattern noise (VFPN), which appears as a series of vertical stripes in images and can obscure fine details, reducing image quality. Dark frame subtraction is a common technique used to eliminate VFPN, but it may result in poor image quality if the sensor parameters, such as gain and black level clamp (BLC), are not considered. This paper proposes a modified dark frame subtraction method that includes a simple preprocessing step to minimize VFPN by taking into account the impact of sensor gain and BLC. To evaluate the proposed method, it was tested in a simulation and real-time set up and its performance is compared to that of the actual dark frame subtraction. The results show that the modified method significantly improves noise reduction and enhances image quality, making it more suitable for endoscopic applications. By considering the effects of sensor parameters on VFPN, the proposed method offers a more effective solution for eliminating VFPN in CMOS image sensors used in medical endoscopy. This method can help clinicians more accurately diagnose medical conditions by providing clearer images with reduced noise and improved quality.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"7 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":"121108934","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}

引用次数: 0

Skin safety test in electrowetting application: a preliminary study 电润湿应用中皮肤安全性试验的初步研究

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171869

L. D’Alvia, E. Pelssers, E. J. Moonen, Z. Prete, L. Apa, J. M. J. Toonder

{"title":"Skin safety test in electrowetting application: a preliminary study","authors":"L. D’Alvia, E. Pelssers, E. J. Moonen, Z. Prete, L. Apa, J. M. J. Toonder","doi":"10.1109/MeMeA57477.2023.10171869","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171869","url":null,"abstract":"In the last ten years, the market for wearable technologies has increased significantly. Existing commercially available multisensor systems, such as intelligent devices and activity trackers, are able to acquire physiological signals like heart rate and oxygen saturation percent level. Nowadays, the integration of chemical biomarkers into wearables, particularly in fitness applications, represents a new market share. However, the development of sweat-sensing devices for monitoring hospitalized patients is still an open challenge. The European project ‘Sentinel’ aims to develop a wearable sweat sensor patch for e-health monitoring of hospitalized patients based on the electrowetting principle. This paper presents a preliminary study regarding skin safety testing for this electrowetting application. The tests were conducted on ten skin samples from five Wild-Type mice. An ad-hoc gold-based electrode representing the electrowetting configuration was realized. The skin impedance and current flow were assessed with a signal generator, a milli-amperemeter and an oscilloscope. The results show that the skin impedance and current depend on the voltage applied to the electrodes, as well as on the amount of liquid inside the sample; on the other hand, the results do not depend on the applied external force, representing the clamping force on the sweat sensor patch. In particular, the impedance values are in the range of 89 k$Omega$-350k$Omega$, while the current is always lower than 25 $mu$A. Linear regression shows how for 60, 80 and 100 V, we obtain a max current of 75 $mu$A, which is lower than the safety level required by international standards and recommendations.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"110 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":"116268605","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}

引用次数: 0

Understanding the Effects of a Real-time Motion Capture System with Voice Feedback for Tennis Toss Training 理解带有语音反馈的实时动作捕捉系统对网球投掷训练的影响

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171905

R. Dhinesh, S. Preejith, M. Sivaprakasam

{"title":"Understanding the Effects of a Real-time Motion Capture System with Voice Feedback for Tennis Toss Training","authors":"R. Dhinesh, S. Preejith, M. Sivaprakasam","doi":"10.1109/MeMeA57477.2023.10171905","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171905","url":null,"abstract":"Skill learning in sports for beginners requires the attention of a trainer to achieve consistency and repeatability of actions by developing suitable muscle memory. The effectiveness of training may be compromised due to the skewed number of trainers and players, leaving the potential of determined and able individuals untapped. The proposed solution addresses this problem through a technology solution to aid training by customized monitoring of specific actions and providing suggestions for corrections in real-time. A wearable system consisting of wireless inertial sensor devices measures anatomic angles for repetitive motions during practice associated with skill learning. Correctness is determined in real-time by comparing the angles measured for actions with those of the trainer recommended actions. It is then evaluated by a voice feedback mechanism contained in the system and suggestions for incorporating action refinements are delivered. A short-term study involving beginner level tennis players was conducted to validate the effectiveness of the proposed solution. The system measured angles during the tennis serve tossing action and provided suggestions for hand positioning to develop consistent toss. Real-time recommendations were given through the voice feedback mechanism, and its effects on players are quantified through statistical metrics. Analysis indicates 8 out of 13 players showed significant improvement in serving upon introduction of the system. On-the-field measurements and prompt feedback for corrections based on recommendations customized for each player show immense potential in accelerating skill perfection through assisted training.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"44 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":"132369190","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}

引用次数: 0

Enhancing remote monitoring and classification of motor state in Parkinson’s disease using Wearable Technology and Machine Learning 利用可穿戴技术和机器学习加强帕金森病运动状态的远程监测和分类

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171868

C. Carissimo, G. Cerro, H. Debelle, E. Packer, A. Yarnall, L. Rochester, L. Alcock, L. Ferrigno, Alessandro Marino, T. D. Libero, S. D. Din

{"title":"Enhancing remote monitoring and classification of motor state in Parkinson’s disease using Wearable Technology and Machine Learning","authors":"C. Carissimo, G. Cerro, H. Debelle, E. Packer, A. Yarnall, L. Rochester, L. Alcock, L. Ferrigno, Alessandro Marino, T. D. Libero, S. D. Din","doi":"10.1109/MeMeA57477.2023.10171868","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171868","url":null,"abstract":"Parkinson’s disease (PD) is a neurodegenerative condition where dopaminergic medication, such as levodopa, is typically used to improve motor symptoms, including mobility. Identifying the impact of levodopa on real-world motor state (e.g. ON/OFF/ DYSKINESIA) is important for both clinicians and people with PD. The aim of the present work was to automatically classify medication states using machine learning models. Continuous 7-day data were collected in 26 people with PD using an Inertial Measurement Unit (IMU) placed on the fifth lumbar vertebrae (L5) level. Over the week, each participant was asked to complete a diary by annotating medication states (off-condition and dyskinesias) with a 30-minute resolution. Diary entries were used as reference labels assigned to the processed IMU data. Two different networks were chosen for the classification: the k-Nearest Neighbors algorithm (kNN) to identify ON-OFF-DYSKINESIA classes and Fine Tree (FT) to identify only OFF and ON classes. Preliminary results demonstrate that IMU data paired with machine learning could accurately classify ON-OFF and DYSKINESIA with 84% accuracy and the ON-OFF states were classified with 95% accuracy. These results are encouraging and pave the way to a better understanding of the effect that medication has on motor symptoms in PD during everyday life and may serve as a useful tool for optimizing clinical management of people with PD.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"76 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":"122527981","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}

引用次数: 0

Development of a Matrix-based Heating and Cooling Therapy Pad to Relieve Muscle Injury-Induced Body Pain 一种基于基质的加热和冷却治疗垫的开发，以减轻肌肉损伤引起的身体疼痛

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171912

Siddhant Shrivastava, R. Janakarajan

{"title":"Development of a Matrix-based Heating and Cooling Therapy Pad to Relieve Muscle Injury-Induced Body Pain","authors":"Siddhant Shrivastava, R. Janakarajan","doi":"10.1109/MeMeA57477.2023.10171912","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171912","url":null,"abstract":"Injury to the muscles and body occurs when a force is applied to a portion of the body that is greater than what the body can structurally withstand. Physicians recommend hot and cold therapy to relax, soothe, and reduce swelling. Most existing pain treatment techniques are either cold or warm, but not both, and they do not apply uniform pressure to the various body areas.In this study, the TRIZ technique was used to construct a matrix-based electric heating and cooling pad that combines the advantages of a heating and cooling therapies in a single device and can apply uniform pressure to muscles. The pad created for this investigation is made of segmented silicone cubes in the shape of a matrix filled with water. It can be heated up using a standard electrical supply and can be cooled down after being kept in the refrigerator. Due to high specific heat, the system can retain temperature for a long time. The IPR has filed for the “Matrix-Based Electric Heating & Cooling Pad” device with application number 356960-001. Currently, the product is undergoing testing and will soon be released on the market.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"87 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":"132234724","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}

引用次数: 0

Assessment of the visual noise influence on muscle activation during a tracking task 跟踪任务中视觉噪声对肌肉激活影响的评估

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171927

Silvia Buscaglione, A. Noccaro, G. D. Pino, D. Formica

{"title":"Assessment of the visual noise influence on muscle activation during a tracking task","authors":"Silvia Buscaglione, A. Noccaro, G. D. Pino, D. Formica","doi":"10.1109/MeMeA57477.2023.10171927","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171927","url":null,"abstract":"It is known how humans exploit their muscle contraction to increase the accuracy of their movements, in order to compensate for haptic disturbance or a combination of haptic and visual noise, but it is unclear the individual contribution of visual noise to muscle activity. Here, we aim to investigate the activation of the arm muscle during a 3-DoFs tracking task in presence of visual noise without any haptic feedback using a robotic interface. We evaluated four different levels of visual noise together with a no-noise condition. Tracking performance was assessed in terms of position and orientation error. An index of global muscle activation was obtained through data recorded with six EMG sensors placed on the participant’s arm used in the tracking task. We observed that muscle activation decreased with the increment in visual noise for the first three levels. On the other hand, the muscle activation for the fourth noise level increased with respect to the third one, reaching values similar to the no-noise condition. As in previous studies, we obtained a linear relationship between tracking errors and visual noise with bigger errors corresponding to higher standard deviation values of the noise, while muscle co-contraction showed a more complex behaviour.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"116 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":"116061530","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}

引用次数: 0

Assessment of cognitive skills in karatekas pre-post technical training 空手道运动员岗前技术训练中认知技能的评估

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171874

Luca Molinaro, Juri Taborri, Massimo Montecchiani, S. Rossi

{"title":"Assessment of cognitive skills in karatekas pre-post technical training","authors":"Luca Molinaro, Juri Taborri, Massimo Montecchiani, S. Rossi","doi":"10.1109/MeMeA57477.2023.10171874","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171874","url":null,"abstract":"Cognitive functions play a fundamental role in a planning and organizing the behaviors and emotions in order to elaborate schemes in response to certain conditions. These cognitive abilities are connected to numerous aspects of life, and in sport they play a decisive role in individual and collective performance. In a combat sport like karate, they are fundamental and it is important to check how they are influenced by sport-specific training. Eleven international level karatekas were enrolled in the experimental study and a pre-post technical training evaluation protocol was developed. During the evaluation sessions a photocell system was used to evaluate cognitive performance in terms of response times, visual attention and brain speed. Response times were analyzed at two levels of difficulty with dominant and non-dominant limbs, and number of correct answers, errors and levels achieved were taken into account. A paired sample t-test and a Wilcoxon’s two-sample dependent non-parametric test were performed. The results show an improvement in post-training response times for the easiest difficulty level. For brain speed there is an increase in consecutive correct answers in post-training. No significant differences emerged in the other parameters. These findings can help technicians to implement cognitive exercises during training in order to improve the performance of katatekas.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"34 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":"124903131","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}

引用次数: 0

Kinematic evaluation of upper limb impairment in stroke survivors through box and block test and IMUs 通过盒块试验和imu对脑卒中幸存者上肢损伤的运动学评价

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171923

Luca Mattioli, Ilaria Mileti, D. Mattia, F. Cincotti, Ilaria Conforti, V. D. Seta, Z. Prete, E. Palermo, E. Colamarino, F. Pichiorri, J. Toppi

{"title":"Kinematic evaluation of upper limb impairment in stroke survivors through box and block test and IMUs","authors":"Luca Mattioli, Ilaria Mileti, D. Mattia, F. Cincotti, Ilaria Conforti, V. D. Seta, Z. Prete, E. Palermo, E. Colamarino, F. Pichiorri, J. Toppi","doi":"10.1109/MeMeA57477.2023.10171923","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171923","url":null,"abstract":"Motion analysis is a fundamental methodology for examining upper-limb function. The objective of this study is to find a kinematic index for objectively evaluating the motor impairment caused by a stroke, during the execution of the Box and Block Test (BBT). We tracked trunk and upper limb motion during the test, using seven inertial measurement unit (IMU) sensors placed on trunk and upper limb of both sides. Two groups of subjects were considered. 14 healthy subjects, with a mean age of 47.9 ±18.3.10 stroke survivors, with a mean age of 53.6 ±19.8 and with different levels of motor disability (with an average value of 54.4 ±6.4 calculated with the Fugl-Meyer scale). Data acquired were processed through validated biomechanical models, dividing BBT task into three subphases: Reaching, Tranfser and Coming Back. Average hand velocity was calculated and compared among the dominant side of healthy subjects, the affected side, and the unaffected side of patients. The ANOVA test was used to study the differences between the two groups. As expected, the mean hand velocity of the affected side of the patients was found to be lower than both the dominant side of the control group and the unaffected side of patients (p<0.05). A correlation study was also conducted between mean velocity and the score that patients achieved in the BBT. For this study, however, the significance was not reached (p>0.1).","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"122 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":"123259869","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}

引用次数: 0

Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification 基于混响和噪声的咳嗽分类深度学习数据增强

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171862

S. Huq, Pengcheng Xi, R. Goubran, J. J. Valdés, F. Knoefel, J.R. Green

{"title":"Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification","authors":"S. Huq, Pengcheng Xi, R. Goubran, J. J. Valdés, F. Knoefel, J.R. Green","doi":"10.1109/MeMeA57477.2023.10171862","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171862","url":null,"abstract":"The interest in automated analysis and classification of cough sounds has increased in recent years, partly due to the worldwide COVID19 pandemic. To train such classification models, a large dataset of cough sounds is needed, however, it remains challenging to find such datasets of cough sounds that have expert-labelled diagnoses of cough types. Data augmentation techniques have been used to train machine learning models given such limited data. Furthermore, augmentation ensures that trained models are invariant to natural transformations of the data, measured from real environments/surroundings. This paper presents a method for classifying wet and dry coughs using a ResNet18 convolutional neural network model. Several forms of spectral data augmentation are investigated including many traditional audio data augmentation methods. A novel form of audio data augmentation is leveraged, where coughs are augmented with varying levels of reverberation and Gaussian noise, during model training. The study found that using a combination of reverb and noise augmentation provided greater improvement than either form of augmentation alone, or traditional augmentations as well, leading to an accuracy of 95%. Use of such a model that has been trained on both reverb- and noise-augmented data is recommended when classifying audio recordings, such as cough sounds, from natural environments outside of laboratory conditions.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"12 4 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":"125738937","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}

引用次数: 0

Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis 脑电图信号检测在糖尿病前期无创血糖监测中的应用

2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2023-06-14 DOI: 10.1109/MeMeA57477.2023.10171941

Tobore Igbe, O. W. Samuel, Jingzhen Li, Frank Kulwa, A. Kandwal, Ze-dong Nie

{"title":"Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis","authors":"Tobore Igbe, O. W. Samuel, Jingzhen Li, Frank Kulwa, A. Kandwal, Ze-dong Nie","doi":"10.1109/MeMeA57477.2023.10171941","DOIUrl":"https://doi.org/10.1109/MeMeA57477.2023.10171941","url":null,"abstract":"Prediabetes is a metabolic disorder where the blood glucose (BG) level is higher than normal but not high as diabetes; early diagnosis can prevent health complications and death. However, to determine the BG level, it is required to prick the finger, which causes pain and discomfort. To eliminate this problem, there is a need to investigate noninvasive techniques to estimate BG values and continuous BG monitoring. In this paper, we investigated the changes in electroencephalogram (EEG) frequency parameters that have been scarcely considered for prediabetes diagnosis. We analyzed EEG signals after carrying out an oral glucose tolerance test on 25 participants. Five frequency bands of EEG signals were obtained continuously in 3 positions; frontal (F), occipital (O), and parental (P). The analysis is performed using a boxplot to examine the pattern of the recorded signals. The result shows that the EEG signal from the O position has a sensitivity of 95.3% in the left hemisphere, the P location has 90.3% in the right hemisphere, and F has 93% in the left hemisphere. This observation shows the appropriate location and the combination of EEG frequency parameters, such as the alpha and beta mean power from O and P, which can be integrated into a wearable device to provide a promising clinical solution for noninvasive blood glucose monitoring and prediabetes diagnosis.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"11 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":"128740253","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}

引用次数: 0