Journal of Medical Engineering and Technology最新文献_第2页

A new multimodal medical image fusion framework using Convolution Neural Networks. 基于卷积神经网络的多模态医学图像融合框架。

Journal of Medical Engineering and Technology Pub Date : 2025-04-11 DOI: 10.1080/03091902.2025.2488827

A Geetha Devi, Surya Prasada Rao Borra, P Rajesh Kumar

引用次数: 0

Journal of Medical Engineering and Technology Pub Date : 2025-04-01 Epub Date: 2025-05-24 DOI: 10.1080/03091902.2025.2506951

John Fenner

引用次数: 0

Design of a patient simulator for clinicians training in mechanical ventilation: SimVep. 用于临床医生机械通气培训的病人模拟器的设计：SimVep。

Journal of Medical Engineering and Technology Pub Date : 2025-04-01 DOI: 10.1080/03091902.2025.2484672

Andres M Valencia, Ivan Ruiz, Jose I García, Alexander Galvis

{"title":"Design of a patient simulator for clinicians training in mechanical ventilation: SimVep.","authors":"Andres M Valencia, Ivan Ruiz, Jose I García, Alexander Galvis","doi":"10.1080/03091902.2025.2484672","DOIUrl":"10.1080/03091902.2025.2484672","url":null,"abstract":"Respiratory diseases are increasingly prevalent worldwide, often leading to critical conditions that require mechanical ventilation for life support. Proper management of these cases demands that clinicians be highly trained to respond effectively to various ventilatory manoeuvres during the recovery process. In this context, training tools for medical staff in mechanical ventilation become essential. Countries with emerging economies, such as Colombia, frequently face technological and economic limitations that restrict access to advanced medical training resources. As a result, the development of physical and virtual patient simulators presents a viable solution, as they can be designed using accessible technologies to support training in low-resource settings. This study presents SimVep, a patient simulator designed to emulate the physiological behaviour of obstructive and restrictive pulmonary conditions. The primary objective of SimVep is to enhance clinician training in mechanical ventilation, enabling healthcare professionals to acquire critical skills and improve patient outcomes in real-world clinical environments.","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"79-92"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765371","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

Classification of auditory ERPs for ADHD detection in children. 听觉erp对儿童ADHD检测的分类。

Journal of Medical Engineering and Technology Pub Date : 2025-04-01 Epub Date: 2025-03-21 DOI: 10.1080/03091902.2025.2477506

I Mercado-Aguirre, K Gutiérrez-Ruiz, S H Contreras-Ortiz

{"title":"Classification of auditory ERPs for ADHD detection in children.","authors":"I Mercado-Aguirre, K Gutiérrez-Ruiz, S H Contreras-Ortiz","doi":"10.1080/03091902.2025.2477506","DOIUrl":"10.1080/03091902.2025.2477506","url":null,"abstract":"Attention deficit hyperactivity disorder (ADHD) is one of the children's most common neurodevelopmental conditions. ADHD diagnosis is based on evaluating inattention, hyperactivity, and impulsivity symptoms that interfere with or reduce daily functioning. Although electroencephalography (EEG) tests are used for ADHD diagnosis, they are generally considered a complement to clinical evaluation. This paper proposes an approach to classify EEG records of children with ADHD and control cases. We identified and extracted relevant features from EEG signals of 47 children (22 diagnosed with ADHD and 25 controls) and evaluated machine learning techniques for classification. We used the 2-tone oddball paradigm to elicit the subjects' auditory event-related potentials (ERP), and we recorded EEG signals with a portable headset for approximately five minutes. In the feature extraction stage, we included measures from cognitive evoked potentials, frequency bands power, chaos quantification, and bispectral analysis, in addition to the age of the children and the number of high-pitched tones the children counted during the test. The SVM and Trees algorithms obtained the best performance for 86.36% accuracy and 95.45% sensitivity. These findings demonstrate the potential of portable EEG-based systems to complement standard clinical assessments, offering an objective, time-efficient, and accessible approach to support early ADHD diagnosis. Achieving high accuracy and sensitivity in classification is critical to reducing the risk of misdiagnosis and ensuring timely intervention, ultimately improving patient outcomes.","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"69-78"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143674664","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

News and product update. 新闻和产品更新。

Journal of Medical Engineering and Technology Pub Date : 2025-03-17 DOI: 10.1080/03091902.2025.2478363

J Fenner

引用次数: 0

News and Product Update. 新闻和产品更新。

Journal of Medical Engineering and Technology Pub Date : 2025-03-10 DOI: 10.1080/03091902.2025.2474849

J Fenner

引用次数: 0

News and product update. 新闻和产品更新。

Journal of Medical Engineering and Technology Pub Date : 2025-02-01 Epub Date: 2025-04-11 DOI: 10.1080/03091902.2025.2489830

J Fenner

引用次数: 0

Quantitative evaluation of unsupervised clustering algorithms for dynamic total-body PET image analysis. 动态全身PET图像分析的无监督聚类算法的定量评价。

Journal of Medical Engineering and Technology Pub Date : 2025-02-01 Epub Date: 2025-02-20 DOI: 10.1080/03091902.2025.2466834

Oona Rainio, Maria K Jaakkola, Riku Klén

{"title":"Quantitative evaluation of unsupervised clustering algorithms for dynamic total-body PET image analysis.","authors":"Oona Rainio, Maria K Jaakkola, Riku Klén","doi":"10.1080/03091902.2025.2466834","DOIUrl":"10.1080/03091902.2025.2466834","url":null,"abstract":"Background: Recently, dynamic total-body positron emission tomography (PET) imaging has become possible due to new scanner devices. However, there is still little research systematically evaluating clustering algorithms for processing of dynamic total-body PET images.Materials and methods: Here, we compare the performance of 15 unsupervised clustering methods, including K-means either by itself or after principal component analysis (PCA) or independent component analysis (ICA), Gaussian mixture model (GMM), fuzzy c-means (FCM), agglomerative clustering, spectral clustering, and several newer clustering algorithms, for classifying time activity curves (TACs) in dynamic PET images. We use dynamic total-body 15O-water PET images of 30 patients. To evaluate the clustering algorithms in a quantitative way, we use them to classify 5000 TACs from each image based on whether the curve is taken from brain, right heart ventricle, right kidney, lower right lung lobe, or urinary bladder.Results: According to our results, the best methods are GMM, FCM, and ICA combined with mini batch K-means, which classified the TACs with a median accuracies of 89%, 83%, and 81%, respectively, in a processing time of half a second or less.Conclusion: GMM, FCM, and ICA with mini batch K-means show promise for dynamic total-body PET analysis.","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"37-44"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143459116","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

A proximal policy optimisation algorithm-based algorithm for cardiovascular disorders detection. 基于近端策略优化算法的心血管疾病检测算法。

Journal of Medical Engineering and Technology Pub Date : 2025-02-01 Epub Date: 2025-03-11 DOI: 10.1080/03091902.2025.2471332

Yuejiao Niu, Xianchuang Fan, Rong Xue

{"title":"A proximal policy optimisation algorithm-based algorithm for cardiovascular disorders detection.","authors":"Yuejiao Niu, Xianchuang Fan, Rong Xue","doi":"10.1080/03091902.2025.2471332","DOIUrl":"10.1080/03091902.2025.2471332","url":null,"abstract":"Cardiovascular diseases (CVDs) significantly impact athletes, impacting the heart and blood vessels. This article introduces a novel method to assess CVD in athletes through an artificial neural network (ANN). The model utilises the mutual learning-based artificial bee colony (ML-ABC) algorithm to set initial weights and proximal policy optimisation (PPO) to address imbalanced classification. ML-ABC uses mutual learning to enhance the learning process by updating the positions of the food sources with respect to the best fitness outcomes of two randomly selected individuals. PPO makes updates in the ANN stable and efficient to improve the model's reliability. Our approach formulates the classification problem as a series of decision-making processes, rewarding every classification act with higher rewards for correctly identifying the instances of the minority class, hence handling class imbalance. We evaluated the model's performance on a diversified medical dataset including 26,002 athletes who were examined within the Polyclinic for Occupational Health and Sports in Zagreb, further validated with NCAA and NHANES datasets to verify generalisability. Our findings indicate that our model outperforms existing models with accuracies of 0.88, 0.86 and 0.82 for the respective datasets. These results enhance clinical model application and advance cardiovascular disorder detection and methodologies.","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"45-64"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143597978","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

A protocol for the assessment of uroflowmeters. 尿流量计的评估方案。

Journal of Medical Engineering and Technology Pub Date : 2025-01-01 Epub Date: 2025-02-27 DOI: 10.1080/03091902.2025.2465708

Alexandra Bacon, Andrew Gammie

{"title":"A protocol for the assessment of uroflowmeters.","authors":"Alexandra Bacon, Andrew Gammie","doi":"10.1080/03091902.2025.2465708","DOIUrl":"10.1080/03091902.2025.2465708","url":null,"abstract":"Uroflowmetry plays an important role in the investigation of patients with lower urinary tract symptoms. We were required to assess a newly developed uroflowmeter. We thus aimed to produce a standardised protocol to test the accuracy and filtering of any new uroflowmeter. The accuracy of a newly developed uroflowmeter (Minze Uroflow®) was validated using a constant flow bottle and a cylindrical flow column. Two other machines were also tested alongside. We also assessed filtering by reproducing common artefacts in the laboratory. Finally, a questionnaire was constructed to assess the usability of the uroflowmeter by clinicians during a normal hospital flow clinic. A protocol to test new uroflowmeters was written and assessed. The protocol showed the following results for the tested uroflowmeters: a simple bench test using a constant flow bottle and cylindric column showed that the uroflow parameters (Qmax and Vvoid) were within the claimed accuracy range and ICS recommendations. The processing of the flow data by the systems effectively filtered noise, and the flow rate decline over the whole measurement range, as produced by the cylindrical flow column, was smooth and linear. Usability was assessed by clinicians in their routine clinical practice. The proposed tests meet the requirements of the ICS guidelines. We have designed a protocol which can be used by clinicians and researchers to validate the accuracy of their uroflowmeters, evaluate new models and ensure clinical usefulness.","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143516942","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