International Journal of Online and Biomedical Engineering (iJOE)最新文献_第9页

The Impact of Using DPSK Modulation on the Performance of Transdermal Optical Wireless Communications under Pointing Errors 使用 DPSK 调制对指向错误下的透皮光学无线通信性能的影响

International Journal of Online and Biomedical Engineering (iJOE) Pub Date : 2024-02-14 DOI: 10.3991/ijoe.v20i02.44627

Yazeed Suleiman Al-Rbeihat, Omar M. Hasan

{"title":"The Impact of Using DPSK Modulation on the Performance of Transdermal Optical Wireless Communications under Pointing Errors","authors":"Yazeed Suleiman Al-Rbeihat, Omar M. Hasan","doi":"10.3991/ijoe.v20i02.44627","DOIUrl":"https://doi.org/10.3991/ijoe.v20i02.44627","url":null,"abstract":"The current paper explores the impact of misalignment between transceivers (referred to as pointing error (PE)) on the performance of transdermal optical wireless (TOW) technology, as indicated by average signal-to-noise ratio (SNR), outage probability (OP), outage rate (OR), and average ergodic capacity (AEC). This study was inspired by the effectiveness of differential phase shift keying (DPSK) in enhancing the reliability of the link in free-space optical communications (FSO). Furthermore, this enhancement was studied and analyzed in consideration of the impact of pointing errors. In particular, this paper presents a mathematical analysis that considers certain characteristics of the channel, limitations within the body, the pointing errors (PEs) between the transceivers, and other specific aspects of the optical unit. The results demonstrate the significant impact of PEs on the reliability of the TOW link and highlight the improvement provided by the DPSK technique. i.e., 3 dB better performance compared to the on-off keying (OOK) modulation technique. Finally, this research demonstrates the practical application of wireless optical technology in the medical field within the wavelength range of 800–1300 nm, with optimal performance observed around 1100 nm.","PeriodicalId":507997,"journal":{"name":"International Journal of Online and Biomedical Engineering (iJOE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139837795","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

Machine Learning System for the Effective Diagnosis and Survival Prediction of Breast Cancer Patients 用于有效诊断和预测乳腺癌患者生存期的机器学习系统

International Journal of Online and Biomedical Engineering (iJOE) Pub Date : 2024-02-14 DOI: 10.3991/ijoe.v20i02.42883

Arturo Gago, Jean Marko Aguirre, Lenis Wong

{"title":"Machine Learning System for the Effective Diagnosis and Survival Prediction of Breast Cancer Patients","authors":"Arturo Gago, Jean Marko Aguirre, Lenis Wong","doi":"10.3991/ijoe.v20i02.42883","DOIUrl":"https://doi.org/10.3991/ijoe.v20i02.42883","url":null,"abstract":"Breast cancer is one of the most significant global health challenges. Effective diagnosis and prognosis prediction are crucial for improving patient outcomes in the case of this disease. As machine learning (ML) has significantly improved prediction models in many disciplines, the goal of this study is to develop a ML system for medical specialists that can accurately predict tumor diagnosis and patient survival for breast cancer patients. For the training of diagnosis and survival prediction, five algorithmic models—decision tree (DT), random forest (RF), naive bayes (NB), support vector machines (SVMs), and gradient boosting—were trained with 569 records from the Breast Cancer Wisconsin dataset and 1,980 records from the Breast Cancer Gene Expression Profiles dataset. The results showed that the NB model exhibited better performance for tumor diagnosis, achieving an accuracy of 95.0%, while RF presented the best results for patient survival, with an accuracy of 76.0%. A survey of medical experts’ experience with the resulting system showed high scores in reliability, performance, satisfaction, usability, and efficiency, confirming that ML systems have the potential to improve breast cancer patient outcomes.","PeriodicalId":507997,"journal":{"name":"International Journal of Online and Biomedical Engineering (iJOE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139839329","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

Transforming Healthcare Data Management: A Blockchain-Based Cloud EHR System for Enhanced Security and Interoperability 变革医疗保健数据管理：基于区块链的云电子病历系统可增强安全性和互操作性

International Journal of Online and Biomedical Engineering (iJOE) Pub Date : 2024-02-14 DOI: 10.3991/ijoe.v20i02.45693

A. Samala, Soha Rawas

引用次数: 0

Static, Dynamic, and High Cycle Fatigue Analysis of Crossed Spherical Gearing for Robotic Arm Ball Joint: A Finite Element Analysis Approach 机器人手臂球形关节交叉球面齿轮的静态、动态和高循环疲劳分析：有限元分析方法

International Journal of Online and Biomedical Engineering (iJOE) Pub Date : 2024-02-14 DOI: 10.3991/ijoe.v20i02.46817

José L. Serna-Landivar, Madelaine Violeta Risco Sernaqué, Ana Beatriz Rivas Moreano, William C. Algoner, Daniela M. Anticona-Valderrama, Walter Enrique Zúñiga Porras, Carlos Oliva Guevara

{"title":"Static, Dynamic, and High Cycle Fatigue Analysis of Crossed Spherical Gearing for Robotic Arm Ball Joint: A Finite Element Analysis Approach","authors":"José L. Serna-Landivar, Madelaine Violeta Risco Sernaqué, Ana Beatriz Rivas Moreano, William C. Algoner, Daniela M. Anticona-Valderrama, Walter Enrique Zúñiga Porras, Carlos Oliva Guevara","doi":"10.3991/ijoe.v20i02.46817","DOIUrl":"https://doi.org/10.3991/ijoe.v20i02.46817","url":null,"abstract":"Crossed spherical gearing is used in the joints of robotic arm prostheses and allows mobility in 3 degrees of freedom. This paper aims to evaluate the design of a cross-spherical gear with three different materials, PEEK, AISI 304L, and Ti-6Al-4V, for a robotic arm prosthesis by finite element analysis. ANSYS mechanical software (version 2021 R1) was used to perform the static analysis and evaluate the deformations and stresses, modal analysis of natural frequencies and vibration modes, and high cycle fatigue analysis to determine fatigue resistance. The results obtained in the static analysis show that the maximum stresses are in the same zones for the three materials and have similar values. However, the Ti-6Al-4V and ASI 304L materials have a higher safety factor than PEEK, with a value of 5.17. In conclusion, the crossed spherical gearing is numerically validated using the finite element analysis so that the prototype can be later manufactured at an experimental level, and the values obtained for the crossed spherical gearing of the robotic arm prosthesis can be verified.","PeriodicalId":507997,"journal":{"name":"International Journal of Online and Biomedical Engineering (iJOE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139778752","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

Study of Free Fall Using an Ultra-Concurrent Laboratory at the University 利用大学超电流实验室研究自由落体运动

International Journal of Online and Biomedical Engineering (iJOE) Pub Date : 2024-02-14 DOI: 10.3991/ijoe.v20i02.43099

Eduardo Arias Navarro, Cesar Nahuel Moya, Fiorella Lizano-Sánchez, Carlos Arguedas-Matarrita, César Eduardo Mora Ley, Ignacio Idoyaga

引用次数: 0

The Impact of Using DPSK Modulation on the Performance of Transdermal Optical Wireless Communications under Pointing Errors 使用 DPSK 调制对指向错误下的透皮光学无线通信性能的影响

International Journal of Online and Biomedical Engineering (iJOE) Pub Date : 2024-02-14 DOI: 10.3991/ijoe.v20i02.44627

Yazeed Suleiman Al-Rbeihat, Omar M. Hasan

{"title":"The Impact of Using DPSK Modulation on the Performance of Transdermal Optical Wireless Communications under Pointing Errors","authors":"Yazeed Suleiman Al-Rbeihat, Omar M. Hasan","doi":"10.3991/ijoe.v20i02.44627","DOIUrl":"https://doi.org/10.3991/ijoe.v20i02.44627","url":null,"abstract":"The current paper explores the impact of misalignment between transceivers (referred to as pointing error (PE)) on the performance of transdermal optical wireless (TOW) technology, as indicated by average signal-to-noise ratio (SNR), outage probability (OP), outage rate (OR), and average ergodic capacity (AEC). This study was inspired by the effectiveness of differential phase shift keying (DPSK) in enhancing the reliability of the link in free-space optical communications (FSO). Furthermore, this enhancement was studied and analyzed in consideration of the impact of pointing errors. In particular, this paper presents a mathematical analysis that considers certain characteristics of the channel, limitations within the body, the pointing errors (PEs) between the transceivers, and other specific aspects of the optical unit. The results demonstrate the significant impact of PEs on the reliability of the TOW link and highlight the improvement provided by the DPSK technique. i.e., 3 dB better performance compared to the on-off keying (OOK) modulation technique. Finally, this research demonstrates the practical application of wireless optical technology in the medical field within the wavelength range of 800–1300 nm, with optimal performance observed around 1100 nm.","PeriodicalId":507997,"journal":{"name":"International Journal of Online and Biomedical Engineering (iJOE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139778069","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

Ischemic Stroke Classification Using VGG-16 Convolutional Neural Networks: A Study on Moroccan MRI Scans 使用 VGG-16 卷积神经网络进行缺血性中风分类：摩洛哥核磁共振成像扫描研究

International Journal of Online and Biomedical Engineering (iJOE) Pub Date : 2024-02-14 DOI: 10.3991/ijoe.v20i02.44845

Wafae Abbaoui, Sara Retal, Soumia Ziti, Brahim El Bhiri, Hassan Moussif

{"title":"Ischemic Stroke Classification Using VGG-16 Convolutional Neural Networks: A Study on Moroccan MRI Scans","authors":"Wafae Abbaoui, Sara Retal, Soumia Ziti, Brahim El Bhiri, Hassan Moussif","doi":"10.3991/ijoe.v20i02.44845","DOIUrl":"https://doi.org/10.3991/ijoe.v20i02.44845","url":null,"abstract":"This study presents a comprehensive exploration of deep learning models for precise brain ischemic stroke classification using medical data from Morocco. Following the OSEMN approach, our methodology leverages transfer learning with the VGG-16 architecture and employs data augmentation techniques to enhance model performance. Our developed model achieved a remarkable validation accuracy of 90%, surpassing alternative state-of-theart models (ResNet50: 87.0%, InceptionV3: 82.0%, VGG-19: 81.0%). Notably, all models were rigorously evaluated on the same meticulously curated dataset, ensuring fair and consistent comparisons. The investigation underscores VGG-16’s superior performance in distinguishing stroke cases, highlighting its potential as a robust tool for accurate diagnosis. Comparative analyses among popular deep learning architectures not only demonstrate our model’s efficacy but also emphasize the importance of selecting the right architecture for medical image classification tasks. These findings contribute to the growing evidence supporting advanced deep learning techniques in medical imaging. Achieving a validation accuracy of 90%, our model holds significant promise for real-world healthcare applications, showcasing the critical role of cutting-edge technologies in advancing diagnostic accuracy and the transformative potential of deep learning in the medical field.","PeriodicalId":507997,"journal":{"name":"International Journal of Online and Biomedical Engineering (iJOE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139838257","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

Therapy and Emotional Support through a Chatbot 通过聊天机器人提供治疗和情感支持

International Journal of Online and Biomedical Engineering (iJOE) Pub Date : 2024-02-14 DOI: 10.3991/ijoe.v20i02.45377

L. Andrade-Arenas, Cesar Yactayo-Arias, Félix Pucuhuayla-Revatta

{"title":"Therapy and Emotional Support through a Chatbot","authors":"L. Andrade-Arenas, Cesar Yactayo-Arias, Félix Pucuhuayla-Revatta","doi":"10.3991/ijoe.v20i02.45377","DOIUrl":"https://doi.org/10.3991/ijoe.v20i02.45377","url":null,"abstract":"In the context of advancing technological development, chatbots have emerged as an innovative tool in the field of mental health, offering new possibilities to provide therapy and emotional support in an accessible and convenient manner. The aim of this study was to develop and evaluate a chatbot implemented in a web application designed to provide emotional support to an adult population, specifically targeting young people and adults over the age of 18. The research focused on user satisfaction with the chatbot experience. Using a qualitative approach and non-random convenience sampling, we collected feedback on the chatbot’s performance from 15 users through an online questionnaire. The results showed a positive assessment, with an average satisfaction score of 4.09 on a scale of 1 to 5. The participants expressed their approval of the emotional support provided by the chatbot, emphasizing the sense of understanding and trust generated by the therapeutic interventions and emotional support. In conclusion, this study successfully assessed user satisfaction with the emotional support chatbot, emphasizing its significance in the realm of digital mental health. The scope of this study was solely focused on user satisfaction. For future research, it is recommended to expand the scope to investigate the correlation between user satisfaction and therapeutic outcomes. Additionally, there is a need to tailor these systems to meet the specific emotional requirements of diverse user groups and enhance the efficacy of mental health patient care.","PeriodicalId":507997,"journal":{"name":"International Journal of Online and Biomedical Engineering (iJOE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139777381","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

Transforming Healthcare Data Management: A Blockchain-Based Cloud EHR System for Enhanced Security and Interoperability 变革医疗保健数据管理：基于区块链的云电子病历系统可增强安全性和互操作性

International Journal of Online and Biomedical Engineering (iJOE) Pub Date : 2024-02-14 DOI: 10.3991/ijoe.v20i02.45693

A. Samala, Soha Rawas

引用次数: 0

Assessing Subjective Visual Vertical Reliability: A Comparison of the “Bucket Test,” a Mobile App, and a Virtual System 评估主观视觉垂直可靠性：水桶测试"、移动应用程序和虚拟系统的比较

International Journal of Online and Biomedical Engineering (iJOE) Pub Date : 2024-02-14 DOI: 10.3991/ijoe.v20i02.45981

Mohammed Waly, Fahad Alshammari, Maryam E. Alshammari, Mohammed Algahtany

{"title":"Assessing Subjective Visual Vertical Reliability: A Comparison of the “Bucket Test,” a Mobile App, and a Virtual System","authors":"Mohammed Waly, Fahad Alshammari, Maryam E. Alshammari, Mohammed Algahtany","doi":"10.3991/ijoe.v20i02.45981","DOIUrl":"https://doi.org/10.3991/ijoe.v20i02.45981","url":null,"abstract":"The subjective visual vertical (SVV) is a potential indicator of vestibular dysfunction as it assesses an individual’s perception of a vertical line. Despite this, and as a result of specific logistical impediments, SVV has not entered standard clinical practice. Dizziness is the third most common clinical complaint by patients (20%) in outpatient offices. It adversely affects the patient’s life and is often accompanied by intensive healthcare. This study aims to determine whether the bucket test and mobile phone app are as reliable as the Virtual SVV system in assessing the SVV. This study involves four types of investigation to determine the relationship or difference among three tests, including their performance comparison, descriptive analysis, one-way ANOVA test, receiver operating characteristic (ROC) curve, and correlation analysis. After organizing the raw data from 207 healthy volunteer participants for 8 trials, it was found that 59% were female and 41% were male. The data was analyzed utilizing the SPSS program. The test performance is measured using the ROC curve, and the results indicate that the bucket with the highest ROC coefficient is 0.72.","PeriodicalId":507997,"journal":{"name":"International Journal of Online and Biomedical Engineering (iJOE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139839272","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