Biomedical engineering advances最新文献

{"title":"BLVQE: Blind Laparoscopic Video Quality Evaluator using spatio-temporal interdependency and textural cues","authors":"Sria Biswas,&nbsp;Rohini Palanisamy","doi":"10.1016/j.bea.2025.100184","DOIUrl":"10.1016/j.bea.2025.100184","url":null,"abstract":"<div><div>Quality assessment of laparoscopic videos is critical for ensuring accurate diagnostics and surgical precision. Traditional quality assessment methods typically focus on either spatial or textural features independently, limiting their effectiveness in handling composite distortions like motion blur, noise, defocus blur, uneven illumination, and smoke. To address this, leveraging spatio-temporal interdependencies and textural features offers a more comprehensive approach in replicating the human visual system to improve the robustness of video quality assessment. This work introduces Blind Laparoscopic Video Quality Evaluator (BLVQE) that models the statistical interdependencies between spatial, temporal and texture features. For this, laparoscopic videos obtained from a public database are used to estimate the Luminance and motion vector maps, which are then analyzed using bivariate generalized Gaussian distribution to capture spatio-temporal interdependency. Scene texture complexity is further quantified using statistical energy measures. These feature vectors are used for end-to-end training of an LSTM framework for frame quality predictions. The training and validation loss curves of the model saturate around 50 epochs, indicating prediction proficiency. BLVQE predictions show a high correlation with subjective scores exhibiting robust and competitive performance against other state-of-the-art methods. Ablation studies highlight the contribution of individual feature elements, confirming the superiority of the selected features. These findings enhance the understanding of the spatial, temporal and textural variations that influence video quality and highlight the potential of joint dependencies in accurately estimating the diagnostic quality of laparoscopic videos.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100184"},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144471198","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":"Technological enhancements in personalized dietary management for chronic conditions","authors":"Tania Tahtouh ,&nbsp;Hadil Salman ,&nbsp;Nermin Eissa ,&nbsp;Najla Al Nassar ,&nbsp;Sofyan Maghaydah ,&nbsp;Marah Alhalabi ,&nbsp;Maha Yaghi ,&nbsp;Abdalla Gad ,&nbsp;Dana Abdallah ,&nbsp;Salma Elberry ,&nbsp;Aysha Alhosani ,&nbsp;Shaikha Alshehhi ,&nbsp;Mohammad Alkhedher ,&nbsp;Mohamad Ramadan ,&nbsp;Mohammed Ghazal","doi":"10.1016/j.bea.2025.100181","DOIUrl":"10.1016/j.bea.2025.100181","url":null,"abstract":"<div><div>Dietary compliance plays a vital role in the control of chronic diseases and influences response to therapy. The rapid development experienced nowadays through smart technology has enabled the personalization of dietary advice to meet individual needs. This paper provides an overview of the current technological solutions to dietary adherence among patients with chronic conditions. With the increasing prevalence of chronic diseases requiring diet-specific interventions, this review encompasses mobile apps and wearables to IoT-based devices and generative intelligence tools, including chatbots, aimed at offering specific guidance as well as providing individualized support for dietary requirements. This review provides an overview of the strengths and limitations of these approaches in real world applications, as well as emerging methodologies that attempt to improve this by focusing on means to personalize dietary management more effectively. The study suggests that technology-enabled dietary interventions can be useful to support chronic disease management and generative artificial intelligence may have a profound effect on the further personalization of dietary guidance. However, issues surrounding regulatory alignment, content validity and long-term user engagement remain to be resolved in order to maximize the tools’ functionality in clinical and home settings.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100181"},"PeriodicalIF":0.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144288817","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":"Noninvasive monitoring of changes in intracranial fluid and tissue composition","authors":"Andrea Boraschi ,&nbsp;Andreas Spiegelberg ,&nbsp;Vartan Kurtcuoglu","doi":"10.1016/j.bea.2025.100187","DOIUrl":"10.1016/j.bea.2025.100187","url":null,"abstract":"<div><div>Continuous assessment of changes in the fluid and tissue composition of the brain, as they occur with certain space-occupying disorders, is currently not possible. Recently, the noninvasive acquisition of the head’s dielectric properties has been proposed as the basis for monitoring such changes. The analysis of the corresponding electric signal, referred to as W, focused so far on intracranial fluid volume changes induced by cardiorespiratory action. Here, we report on a novel approach to acquire changes of W also in the 0 to 0.1 Hz frequency range, which would allow capturing slower processes such as edema formation. Six healthy male volunteers were tilted head-up, head-down, and subjected to bilateral jugular vein compression. W decreased during head-up tilting, while it increased during head-down tilting and jugular vein compression. These findings are consistent with anticipated changes in intracranial volume due to these maneuvers, notably the reduction of intracranial blood volume during head-up tilt and its augmentation during head-down tilt and jugular vein compression. This study provides a proof of principle for the detection of changes in W within the 0–0.1 Hz frequency range, broadening the potential clinical utility of noninvasive monitoring of cranial dielectric properties in diagnosing and managing space-occupying disorders.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100187"},"PeriodicalIF":0.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336006","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":"Tracking orthodontic tooth movement and associated biomechanics using an integrated clinical and in vitro mechanical approach","authors":"Arya Subramanian ,&nbsp;Robyn de Wet ,&nbsp;Lingyu Bu ,&nbsp;Manuel O. Lagravere ,&nbsp;Paul W. Major ,&nbsp;Dan L. Romanyk","doi":"10.1016/j.bea.2025.100186","DOIUrl":"10.1016/j.bea.2025.100186","url":null,"abstract":"<div><div>The objective of this study was to establish an integrated clinical and <em>in vitro</em> experimental approach to track tooth positions and replicate digital tooth positions <em>in vitro</em> for biomechanical load measurement over orthodontic treatment. Patients between 11–14 years were recruited to collect four digital intraoral scans in 4–6-week intervals. Patients were treated for mild anterior crowding using 0.022″ Damon Q2 brackets and CuNiTi round archwires sized up at each treatment interval (T1-T2: 0.014″, T2-T3: 0.016″, T3-T4: 0.018″). Scans were superimposed and clinical tooth movement was tracked using bracket-slot midpoint position differences. An in-house workflow was developed using MATLAB and SolidWorks to replicate digital bracket positions on an Orthodontic Simulator (OSIM) with custom-dimensioned jigs. Mechanical experiments for the sample arches were performed at 37°C for 3D force measurements at each tooth upon wire insertion (<em>n</em> = 5/archwire size). The average superimposition error between T2-T4 and T1 scans was 0.19 mm. Average errors in bracket position replication across all directions was 0.41 mm in the local X-, Y-, and Z-direction, respectively. The initial force and tooth movement range was 0.00–1.43 N and 0.01–1.81 mm in the Y-direction, and 0.01–2.17 N and 0.00–1.45 mm in the Z-direction. Tooth movement ranged from 0.00–0.30 mm/week in the Y-direction and 0.00–0.24 mm/week in the Z-direction over treatment. This study developed a process to measure clinical tooth movement and existing force/moment systems for sample arches over orthodontic braces treatment. Future work will involve an expanded data set to establish fundamental relationships between force systems and clinical tooth movements.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100186"},"PeriodicalIF":0.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144365688","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":"Corrigendum to “Exploring Therapeutic Strategies for Androgen-Independent Prostate Cancer Using a Magnetic Coculture Platform” [Biomedical Engineering Advances Volume 9 (2025) Pages 2-6/Article 100144]","authors":"Anjani Chavali ,&nbsp;Giles Fitzwilliams ,&nbsp;Adam Germain ,&nbsp;Sandra Khuon ,&nbsp;Young-tae Kim","doi":"10.1016/j.bea.2025.100182","DOIUrl":"10.1016/j.bea.2025.100182","url":null,"abstract":"","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100182"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271598","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":"Alternate inter-digit finger tapping pattern resembles rudimentary finger grasping pattern","authors":"Stefan Manoharan ,&nbsp;June Seung Lee ,&nbsp;Hangue Park","doi":"10.1016/j.bea.2025.100183","DOIUrl":"10.1016/j.bea.2025.100183","url":null,"abstract":"<div><div>Neurotraumas often result in loss of finger grasping ability, thereby deteriorating quality of life. To develop effective rehabilitation method for finger grasping, objective evaluation metrics of grasping capability is a basic requirement. However, current evaluation methods for grasping confront challenges with their non-rhythmic nature and limited sample size, resulting in low statistical power and high variability. Finger tapping may shed light on this issue, based on its rhythmic nature and a common underlying mechanism between rhythmic finger tapping and rudimentary finger grasping. In this study, we investigated “phase difference” at inter-digit finger tapping, which indicates a deviation from the temporal symmetry of inter-digit tapping and potentially reflects a rudimentary finger grasping pattern. This was accomplished by analysing the metacarpophalangeal (MCP) angle of subjects’ fingers, measured by an infrared hand-motion sensor, during finger-tapping tasks. Subjects performed alternate or simultaneous rhythmic tapping tasks between two adjacent fingers among the thumb, index, and middle fingers while the MCP angle for the fingers was measured. Using the oscillating nature of the MCP angles for each finger, we established phase difference as a metric to describe relative interdigital motion. We identified congruency in phase difference between the alternate inter-digit tapping pattern and the rudimentary grasping pattern. Experimental results with phase analysis suggest that alternate inter-digit tapping, which is a rhythmic and intuitive task, is strongly correlated with the rudimentary grasping in kinematics, while the simultaneous tapping is not. Accordingly, we predict potential applications of alternate inter-digit finger tapping and its metrics in grasping diagnostics and rehabilitation monitoring.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100183"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144239682","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":"Automated detection of hard exudates in retinal fundus images for diabetic retinopathy screening using textural-based radon transform and morphology reconstruction","authors":"Esmat Ramezanzadeh ,&nbsp;Naser Shoeibi ,&nbsp;Akram Feizabadi ,&nbsp;Touka Banaee ,&nbsp;Mohammad Hossein Bahreyni Tussi ,&nbsp;Meysam Tavakoli","doi":"10.1016/j.bea.2025.100180","DOIUrl":"10.1016/j.bea.2025.100180","url":null,"abstract":"<div><h3>Background</h3><div>Diabetic retinopathy (DR) screening requires accurate detection of hard exudates (HEs) in retinal images. This study presents a novel method that integrates textural-based Radon transform (RT) with morphological image processing techniques to automate the detection and segmentation of HEs in color fundus photography (CFP) images. By enhancing the diagnostic capabilities for DR, this approach aims to provide ophthalmologists with a reliable and efficient tool for identifying early signs of vascular damage associated with diabetes.</div></div><div><h3>Method</h3><div>The proposed algorithm was evaluated on two datasets, DIARETDB1 (89 images) and MUMS-DB (32 images). We developed an automated method for detecting HEs in CFP images. The approach involves a comprehensive framework comprising preprocessing, main processing, feature extraction, and post-processing. Key techniques include Radon transform for optical disc, vessels and soft and hard exudate feature extraction, and morphological reconstruction for enhancing detection accuracy. We employed Kirsch edge detection to distinguish HEs based on edge sharpness and utilized Top-Hat transformation to highlight small-scale features. The method integrates clinical expertise with computational techniques to differentiate between morphologically similar lesions. Performance was assessed through classification and pixel-based classification. metrics.</div></div><div><h3>Results</h3><div>The proposed algorithm demonstrated high performance in pixel-based classification, achieving best sensitivity of 92 %, and specificity 100 %. In lesion-based classification, the model achieved 100 % sensitivity and 100 % specificity on MUMS-DB datasets in the best case.</div></div><div><h3>Conclusion</h3><div>This integrated methodology successfully addresses the challenging task of differentiating between morphologically similar lesions, representing a significant advancement in automated DR screening. While performance varied between datasets, the results demonstrate strong potential for clinical application.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100180"},"PeriodicalIF":0.0,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168927","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":"Simulated uterine contractions: Graph theory and connectivity-based analysis of EHG signals","authors":"Kamil Bader Eldine ,&nbsp;Noujoud Nader ,&nbsp;Mohamad Khalil ,&nbsp;Catherine Marque","doi":"10.1016/j.bea.2025.100178","DOIUrl":"10.1016/j.bea.2025.100178","url":null,"abstract":"<div><div>Preterm labor represents the prominent cause of mortality and morbidity, highlighting the important need for improved preterm contraction prediction and management. One promising approach to resolving this challenge is to analyze the electrohysterographic (EHG) signal, which records the electrical activity regulating uterine contractions. Analyzing the features of the EHG signal contributes valuable data to detect labor. In this paper, we propose a new framework using simulated EHG signals to identify features sensitive to uterine connectivity. We focus on EHG signal propagation during labor, recorded by multiple electrodes. We simulated EHG signals in different groups to determine which connectivity methods and graph parameters best represent the two main factors driving uterine synchronization: short-distance propagation (via electrical diffusion, ED) and long-distance synchronization (via mechanotransduction, EDM). Using the uterine model, signals were first simulated using just electrical diffusion by modifying the tissue resistance; second, signals were simulated using ED and mechanotransduction by holding the tissue resistance constant and varying the model parameters that affect mechanotransduction. We used the bipolar technique to construct our simulated EHGs by modeling a matrix of 16 surface electrodes organized in a 4 × 4 matrix placed on the pregnant woman’s abdomen. Our results show that even a simplified electromechanical model can be useful for monitoring uterine synchronization using simulated EHG signals. The differences seen between the selection performed by Fscore on real and simulated EHG signals show that when employing the mean function, the best features are H2(Str), FW_h2 alone, and in combination with PR, BC, and CC. The best characteristics that demonstrate a shift in the mechanotransduction process are H2 alone or in combination with Str, R2(PR), and ICOH(Str). The best characteristics that demonstrate a shift in electrical diffusion are H2 alone and in combination with Eff, PR, and BC.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100178"},"PeriodicalIF":0.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069187","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":"Robust and sparse estimator for EEG source localization","authors":"Teja Mannepalli ,&nbsp;Aurobinda Routray","doi":"10.1016/j.bea.2025.100177","DOIUrl":"10.1016/j.bea.2025.100177","url":null,"abstract":"<div><div>EEG source localization involves reconstructing brain activity from observed EEG measurements, a critical task for diagnosing various neurological disorders. The distributed approach to this problem is inherently ill-posed, posing significant challenges. In this study, we present a sparsity-controlled Lorentzian norm-based method for EEG source localization. This approach effectively balances robustness to measurement noise and sparsity in the solution.</div><div>The proposed method employs a non-linear conjugate gradient descent algorithm to minimize the loss function, where the Lorentzian norm replaces the conventional <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> norm. The Lorentzian norm’s unique ability to handle impulsive noise ensures precise estimation of active sources, even under challenging conditions. Comparative analyses with <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>, <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> and <span><math><mrow><msub><mrow><mi>ℓ</mi></mrow><mrow><mi>p</mi></mrow></msub><mo>,</mo><mi>p</mi><mo>&lt;</mo><mn>1</mn></mrow></math></span> norm-based methods highlight the Lorentzian norm’s superior robustness and sparsity control. The results demonstrate that this novel approach improves the accuracy and reliability of EEG source localization, making it a valuable tool for medical applications.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100177"},"PeriodicalIF":0.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069188","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":"State-of-the-art fall detection techniques with emphasis on floor-based systems—A review","authors":"Amrit Pal Kaur ,&nbsp;Ejay Nsugbe ,&nbsp;Amy Drahota ,&nbsp;Matthew Oldfield ,&nbsp;Iman Mohagheghian ,&nbsp;Radu A. Sporea","doi":"10.1016/j.bea.2025.100179","DOIUrl":"10.1016/j.bea.2025.100179","url":null,"abstract":"<div><div>The Arthritis patients and aging population has challenged society to develop safer, independent living environments. Falls, associated injuries, and delays in fall treatment are major causes of morbidity and death in older adults. Therefore, fall detection systems are fundamental to reducing fall risks and building safer environments. Designing fall detection systems is an emerging field of research. The development of the system relies on a sensing mechanism, processing unit, and communication to alert the emergency facilities. Each module is crucial in providing a cost-effective, accurate, reliable, and robust solution. Technological advancements in fall detection systems, particularly wearable and non-wearable devices, offer promising solutions. Wearable systems are prevalent due to their cost-effectiveness and ease of installation, but they can be unreliable if not worn consistently. Non-wearable systems, including smart flooring, provide continuous monitoring but are expensive and complex to maintain. This article reviews the development and deployment of fall detection technologies, examining their practical limitations and emphasizing floor-based detection systems as a viable solution for fostering independent living among older adults.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100179"},"PeriodicalIF":0.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115766","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}