BioMedical Engineering OnLine最新文献

{"title":"Sex differences in electrical activity of the brain during sleep: a systematic review of electroencephalographic findings across the human lifespan.","authors":"Rhea Chapman, Sarasa Najima, Thaisa Tylinski Sant'Ana, Christy Chi Kiu Lee, Francesco Filice, Jessica Babineau, Tatyana Mollayeva","doi":"10.1186/s12938-025-01354-z","DOIUrl":"10.1186/s12938-025-01354-z","url":null,"abstract":"<p><strong>Background: </strong>With the explosion of techniques for recording electrical brain activity, our recognition of neurodiversity has expanded significantly. Yet, uncertainty exists regarding sex differences in electrical activity during sleep and whether these differences, if any, are associated with social parameters. We synthesised existing evidence applying the PROGRESS-Plus framework, which captures social parameters that may influence brain activity and function.</p><p><strong>Methods: </strong>We searched five databases from inception to December 2024, and included English language peer-reviewed research examining sex differences in electrical activity during sleep in healthy participants. We performed risk of bias assessment following recommended criteria for observational studies. We reported results on sex differences by wave frequency (delta, theta, alpha, sigma, beta, and gamma) and waveforms (spindle and sawtooth), positioning results across age-related developmental stages. We created visualizations of results linking study quality and consideration of PROGRESS-Plus parameters, which facilitated certainty assessment.</p><p><strong>Results: </strong>Of the 2,783 unique citations identified, 28 studies with a total of 3,374 participants (47% male, age range 4-5 months to 101 years) were included in data synthesis. Evidence of high certainty reported no sex differences in alpha and delta relative power among participants in middle-to-late adulthood. Findings of moderate certainty suggest no sex differences in alpha power; and theta, sigma and beta relative power; and delta density. There is evidence of moderate certainty suggesting that female participants had a steeper delta wave slope and male participants had greater normalized delta power. Evidence that female participants have higher spindle power density is of low certainty. All other findings were regarded as very low in certainty. The PROGRESS-Plus parameters were rarely integrated into the methodology of studies included in this review.</p><p><strong>Conclusion: </strong>Evidence on the topic of sex differences in sleep wave parameters is variable. It is possible that the reported results reflect unmeasured social parameters, instead of biological sex. Future research on sex differences in sleep should be discussed in relevance to functional or clinical outcomes. Development of uniform testing procedures across research settings is timely.</p><p><strong>Prospero: </strong>CRD42022327644.</p><p><strong>Funding: </strong>Canada Research Chairs (Neurological Disorders and Brain Health, CRC-2021-00074); UK Pilot Award for Global Brain Health Leaders (GBHI ALZ UK-23-971123).</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"33"},"PeriodicalIF":2.9,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11899717/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143603882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of Alzheimer's disease brain networks based on EEG phase synchronization.","authors":"Jiayi Cao, Bin Li, Xiaoou Li","doi":"10.1186/s12938-025-01361-0","DOIUrl":"10.1186/s12938-025-01361-0","url":null,"abstract":"<p><strong>Objective: </strong>Using the phase synchronization of EEG signals, two different phases, PLI and PLV, were used to construct brain network analysis and graph convolutional neural network, respectively, to achieve automatic identification of Alzheimer's disease (AD) and to assist in the early diagnosis of Alzheimer's disease.</p><p><strong>Methods: </strong>In this paper, we selected outpatients (16 AD subjects, 20 mild cognitive impairment (MCI) subjects and 21 healthy control (HC) subjects) from the outpatient clinic of Yangpu Mental Health Center in Shanghai, China, from January 2023 to December 2023, and collected resting-state EEG data. To collect resting-state EEG data, each patient was asked to sit down with eyes closed for 5 min. Firstly, the acquired EEG data were preprocessed to extract the data in the α-band at 8-13 Hz; secondly, the phase lag index (PLI) and phase-locked value (PLV) were used to construct the brain functional network, and the brain functional connectivity map was visualized by brain functional connectivity analysis. Finally, the constructed PLI and PLV were input into the graph convolutional neural network (GCN) model as node features for training and classification, respectively.</p><p><strong>Results: </strong>Healthy controls had relatively strong mean brain functional connectivity in the PLV brain network compared to AD and MCI patients. MCI patients showed lower mean brain functional connectivity in the brain network of PLI, while all three groups showed significant differences in brain functional connectivity between parietal and occipital lobes. The GCN model improved classification accuracy by more than 10% compared to using a machine learning classifier. When PLV was used as the nodal feature in the GCN model, the model achieved an average classification accuracy of 77.80% for the three groups of AD, MCI and HC, which was an improvement over the accuracy of choosing raw EEG data and PLI as the nodal feature. The performance of the model was further validated.</p><p><strong>Conclusions: </strong>The experimental results show that the GCN model can effectively identify the graph structure compared with the traditional machine learning model, the GCN-PLV model can better classify AD patients, and the alpha band is proved to be more suitable for AD resting-state EEG by tenfold cross-validation. The brain network map constructed based on PLI and PLV can further capture the local features of EEG signals and the intrinsic functional relationships between brain regions, and the combination of these two models has certain reference value for the diagnosis of AD patients.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"32"},"PeriodicalIF":2.9,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11892187/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143584484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements in osteoblast sourcing, isolation, and characterization for dental tissue regeneration: a review.","authors":"Venkata Suresh Venkataiah, Deepak Mehta, Mohammad Fareed, Mohmed Isaqali Karobari","doi":"10.1186/s12938-025-01363-y","DOIUrl":"10.1186/s12938-025-01363-y","url":null,"abstract":"<p><strong>Background: </strong>Primary osteoblasts are essential for bone formation and regeneration, making them pivotal in dental applications, including periodontal regeneration, ridge augmentation, and implant osseointegration. Sourced from various tissues like alveolar bone, calvarial bone, mandibular and maxillary bones, long bones, and bone marrow-derived stem cells (BMSCs), each type of osteoblast presents unique advantages and limitations related to yield, accessibility, and clinical relevance. Given these variables, selecting an appropriate source is crucial for experimental consistency and translational application in dentistry.</p><p><strong>Methods: </strong>This review synthesizes data from in vitro, animal, and clinical studies to provide a comprehensive overview of osteoblast sourcing, isolation, and characterization in dental research. Sources were reviewed based on yield, anatomical relevance, and accessibility, while isolation methods were compared to assess their impact on cell behavior and phenotype retention. The review evaluates methods such as enzymatic digestion, explant culture, and differentiation of BMSCs, alongside characterization techniques like morphological analysis, gene expression profiling, and mineralization assays.</p><p><strong>Results: </strong>The analysis shows that alveolar bone-derived osteoblasts offer high clinical relevance due to their anatomical similarity to oral structures but are limited by low yield and invasive collection. Calvarial and long bone osteoblasts provide higher yields, making them useful for material testing, though they lack biomechanical compatibility with oral environments. BMSCs offer a renewable source with significant regenerative potential but require precise differentiation protocols. In vitro studies contribute mechanistic insights, while animal models bridge the gap to clinical application, despite challenges in standardization and interspecies variability.</p><p><strong>Conclusion: </strong>This review highlights the importance of selecting appropriate osteoblast sources and methods for dental research to optimize outcomes in periodontal and implant-related therapies. The variability across study designs and experimental outcomes underscores the need for standardized protocols and targeted systematic reviews within specific research settings. These findings offer a framework for future osteoblast-based research and guide the effective translation of osteoblast therapies into clinical dental practice.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"31"},"PeriodicalIF":2.9,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890725/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143584482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrative research on the mechanisms of acupuncture mechanics and interdisciplinary innovation.","authors":"Liang Yunshan, Xu Chengli, Zhang Peiming, Quan Haocheng, Liang Xudong, Lu Liming","doi":"10.1186/s12938-025-01357-w","DOIUrl":"10.1186/s12938-025-01357-w","url":null,"abstract":"<p><p>As a traditional therapeutic approach, acupuncture benefits from modern biomechanics, which offers a unique perspective for understanding its mechanisms by investigating the mechanical properties of biological tissues and cells under force, deformation, and movement. This review summarizes recent advancements in the biomechanics of acupuncture, focusing on three main areas: the mechanical effects of acupuncture, the transmission mechanisms of mechanical signals, and the personalization and precision of acupuncture treatments. First, the review introduces the structural basis of the tissues involved in acupuncture; analyzes the mechanical responses of the skin, dermis, and subcutaneous tissues from needle insertion to point activation; and discusses how these responses impact acupuncture efficacy. Second, the phenomenon of mechanical coupling during acupuncture is discussed in detail, especially the role of connective tissues, including the wrapping and self-locking of collagen fibers, the remodeling of the cytoskeleton and the regulation of mitochondrial function triggered by acupuncture. Third, this article examines the mechanisms of mechanical signal transmission in acupuncture, explaining how mechanosensitive ion channels are activated during the procedure and subsequently initiate a cascade of biochemical responses. Finally, the review highlights the numerical simulation methods used in acupuncture, including the mechanical modeling of skin tissues, the exploration of the mechanical mechanisms of acupuncture, and visualization studies of the needling process. By integrating multidisciplinary research findings, this paper delves into the entire mechanical process of acupuncture, from skin penetration to point stimulation, and analyzes tissue responses to provide a solid theoretical foundation for the scientific study of acupuncture. In addition, directions for future research to further refine acupuncture techniques for clinical applications are proposed.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"30"},"PeriodicalIF":2.9,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11889876/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143584485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive value of CT imaging features on the risk of hemorrhagic transformation after mechanical thrombectomy for acute ischemic stroke with large vessel obstruction.","authors":"Linyu Zhou, Hong Yu, Jianbing Bai, Yang Wang, Yingqiang Zhong, Tao Jiang, Yongqing Dai","doi":"10.1186/s12938-025-01359-8","DOIUrl":"10.1186/s12938-025-01359-8","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To investigate the predictive value of computer tomography (CT) imaging features for the risk of hemorrhagic transformation (HT) after mechanical thrombectomy for acute ischemic stroke with large vessel obstruction (AIS-LVO).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A total of 135 patients with AIS-LVO diagnosed and treated in our hospital from August 2021 to May 2023 were selected as the research subjects. Their clinical data were retrospectively analyzed. Mechanical thrombectomy was performed in all patients. The patients were divided into the HT group (n = 27) and the non-HT group (n = 108) according to whether HT occurred within 24 h after thrombectomy. CT examination was performed after mechanical thrombectomy in the two groups, and the changes in CT imaging indexes in the two groups were observed. Logistic regression was used to analyze the influencing factors and a prediction model was constructed based on the influencing factors. The receiver operating characteristic (ROC) curve was established to analyze the predictive value. Additionally, ROC curve was used to analyze the diagnostic value of serum CT imaging features.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Compared with the non-HT group, the proportion of atrial fibrillation history in the HT group was significantly increased, and the National Institute of Health Stroke Scale (NIHSS) score and galectin-3 (Gal-3) level were significantly increased before thrombectomy (P &lt; 0.01). Compared with the non-HT group, the proportion of exudation of contrast medium and Hyperdense Middle Cerebral Artery Sign (HMCAS) in the HT group was significantly increased, time to peak (TTP) was significantly prolonged, and cerebral blood flow (CBF) was significantly decreased (P &lt; 0.001). The history of atrial fibrillation, NIHSS score before thrombectomy, Gal-3, contrast agent exudation, HMCAS, TTP and CBF were the influencing factors of postoperative HT after mechanical thrombectomy in AIS-LVO (P &lt; 0.05). Based on the results of multivariate logistic regression analysis, a prediction model was established as follows: Logit (P) = -3.520 + 1.529 × history of atrial fibrillation + 0.968 × NIHSS score before thrombectomy + 0.806 × Gal-3 + 1.134 × contrast agent exudation + 2.146 × HMCAS + 0.684 × TTP-0.725 × CBF. The area under the curve (AUC) of the logistic prediction model for predicting HT after AIS-LVOLVO mechanical thrombectomy was 0.873 (95% CI 0.817-0.929) with a sensitivity of 78.75% and a specificity of 83.33%, indicating that the prediction model had good prediction efficiency. The AUC of TTP and CBF alone in predicting HT after mechanical thrombectomy in AIS-LVO patients was 0.728 and 0.736, respectively. The AUC of combined detection was 0.783, and the combined detection had a high diagnostic value for HT after mechanical thrombectomy in AIS-LVO patients.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;The combined detection of TTP and CBF of CT imaging features had certain diagnostic value for H","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"29"},"PeriodicalIF":2.9,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11887210/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: A glaucoma micro-stent with diverging channel and stepped shaft structure based on microfluidic template processing technology.","authors":"Chen Wang, Fule Wang, Yunru Liao, Chengguo Zuo, Mingkai Lin, Kemin Wang, Dongni Ren, Hongbo Zhang, Ruixue Yin","doi":"10.1186/s12938-025-01358-9","DOIUrl":"10.1186/s12938-025-01358-9","url":null,"abstract":"","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"28"},"PeriodicalIF":2.9,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11883956/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a deep learning radiomics model combining lumbar CT, multi-sequence MRI, and clinical data to predict high-risk cage subsidence after lumbar fusion: a retrospective multicenter study.","authors":"Congying Zou, Ruiyuan Chen, Baodong Wang, Qi Fei, Hongxing Song, Lei Zang","doi":"10.1186/s12938-025-01355-y","DOIUrl":"10.1186/s12938-025-01355-y","url":null,"abstract":"<p><strong>Background: </strong>To develop and validate a model that integrates clinical data, deep learning radiomics, and radiomic features to predict high-risk patients for cage subsidence (CS) after lumbar fusion.</p><p><strong>Methods: </strong>This study analyzed preoperative CT and MRI data from 305 patients undergoing lumbar fusion surgery from three centers. Using a deep learning model based on 3D vision transformations, the data were divided the dataset into training (n = 214), validation (n = 61), and test (n = 30) groups. Feature selection was performed using LASSO regression, followed by the development of a logistic regression model. The predictive ability of the model was assessed using various machine learning algorithms, and a combined clinical model was also established.</p><p><strong>Results: </strong>Ultimately, 11 traditional radiomic features, 5 deep learning radiomic features, and 1 clinical feature were selected. The combined model demonstrated strong predictive performance, with area under the curve (AUC) values of 0.941, 0.832, and 0.935 for the training, validation, and test groups, respectively. Notably, our model outperformed predictions made by two experienced surgeons.</p><p><strong>Conclusions: </strong>This study developed a robust predictive model that integrates clinical features and imaging data to identify high-risk patients for CS following lumbar fusion. This model has the potential to improve clinical decision-making and reduce the need for revision surgeries, easing the burden on healthcare systems.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"27"},"PeriodicalIF":2.9,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11872306/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143536387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel corneal indentation device for comparison of corneal tangent modulus before and after FS-LASIK in vivo.","authors":"Yan Zhang, Junyu Lin, Shu-Hao Lu, Jones Iok-Tong Chong, Cheng Yang, Jianqing Lan, Wenjuan Xie, Juan Li, David Chuen-Chun Lam, Dan Cao, Jin Zeng","doi":"10.1186/s12938-025-01343-2","DOIUrl":"10.1186/s12938-025-01343-2","url":null,"abstract":"<p><strong>Background: </strong>Corneal refractive laser surgery is widely used to correct myopia and astigmatism due to its safety and effectiveness. However, postoperative changes in corneal biomechanics, such as corneal ectasia, can occur, necessitating a deeper understanding of these changes. Finite Element Analysis has shown promise in predicting surgical outcomes based on corneal biomechanics. Devices like the Ocular Response Analyser (ORA) and Corvis ST provide noninvasive ways to measure corneal biomechanics, aiding in the assessment of corneal behavior post-surgery. Young's modulus and tangent modulus are crucial parameters for describing corneal elasticity, but there is limited data on the changes in tangent modulus following Femtosecond Laser-Assisted LASIK (FS-LASIK) in humans. This study aimed to investigate the effect of FS-LASIK on the corneal tangent modulus using a novel corneal indentation device (CID). The study sought to explore changes in corneal tangent modulus after FS-LASIK, taking into account central corneal thickness (CCT) and corneal radius, to enhance our understanding of the biomechanical changes induced by this surgical procedure.</p><p><strong>Results: </strong>Sixty-six patients (66 eyes) underwent FS-LASIK, resulting in significant changes in CCT, corneal radius, and Goldmann intraocular pressure (GAT IOP) 6 months post-surgery (△CCT = - 88 ± 31 µm, △corneal radius = 0.81 ± 0.30 mm, △GAT IOP = - 3.2 ± 2.4 mmHg, p < 0.001) 6 months after surgery. However, corneal stiffness did not significantly change (△ = - 0.002 ± 0.011, p < 0.2). The corneal tangent modulus showed a significant increase post-surgery (△ = 0.263 ± 0.146, p < 0.001), exhibiting a negative correlation with CCT (r = - 0.68, P < 0.001) and a positive correlation with corneal radius (r = 0.71, P < 0.001). For each 1 mm increase in corneal radius, there was a 0.23 MPa increase in corneal modulus, and for every 100 µm reduction in corneal thickness, there was a 0.14 MPa increase in corneal modulus.</p><p><strong>Conclusions: </strong>The corneal tangent modulus, influenced by corneal radius and CCT, increased significantly following FS-LASIK. This study highlights the biomechanical changes induced by FS-LASIK, with implications for understanding corneal behavior post-surgery and its potential impact on patient outcomes.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"26"},"PeriodicalIF":2.9,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11869698/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility and reliability of an online version of the beat alignment test in neurotypical adults and people with stroke.","authors":"Sarah Gregor, Avril Mansfield, George Mochizuki, Joyce Chen, Kara K Patterson","doi":"10.1186/s12938-025-01352-1","DOIUrl":"10.1186/s12938-025-01352-1","url":null,"abstract":"<p><strong>Background: </strong>Rhythm-based rehabilitation interventions are gaining attention and measuring their effects is critical. With more clinical care and research being conducted online, it is important to determine the feasibility of measuring rhythm abilities online. However, some tools used to measure rhythm abilities, in particular the beat alignment test (BAT), have not been validated for online delivery. This study aims to determine the feasibility, reliability, and learning effects for online delivery of the BAT in adults with and without stroke.</p><p><strong>Methods: </strong>Neurotypical adults and adults with chronic stroke completed the BAT online three times, with testing sessions separated by 2 to 4 days. The BAT includes a perception task (identifying whether tones overlayed on music matched the beat of the music) and a production task (tapping to the beat of music). Feasibility was evaluated with completion rates, technical challenges and resolutions, participant experience via exit questionnaire, and test duration. Reliability was measured using inter-class correlations and standard error of measurement, and learning effects were determined using a repeated-measures ANOVA.</p><p><strong>Results: </strong>Thirty-nine neurotypical adults and 23 adults with stroke participated in this study. More a priori feasibility criteria for the online BAT were met with neurotypical adults than people with stroke. Most components of the online BAT were considered reliable based on an ICC = 0.60 cut-off, except for perception in the neurotypical group, and production asynchrony in the stroke group. There was notable variability in performance, but no learning effects in either group.</p><p><strong>Conclusions: </strong>Online administration of the BAT is more feasible for neurotypical adults than people with stroke. Challenges with online administration for people with stroke may be partly related to the delivery platform. The BAT is a reliable tool with no learning effects and therefore is a promising way to assess for rhythm abilities online with careful consideration of user interface for people with stroke.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"24"},"PeriodicalIF":2.9,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11854351/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and validation of an alignment free adaptive joint torque measurement system.","authors":"Lei Li, Jingcheng Chen, Shaoming Sun, Wei Peng","doi":"10.1186/s12938-025-01356-x","DOIUrl":"10.1186/s12938-025-01356-x","url":null,"abstract":"<p><strong>Purpose: </strong>This study introduces a transferable alignment-free adaptive joint torque measurement (AFAJTM) system designed to resolve inconsistencies in torque measurements caused by misalignment between dynamometer and joint rotational axes, improving accuracy and reliability in joint torque assessment.</p><p><strong>Method: </strong>This study presents the design and control methodology of an alignment free adaptive joint torque measurement system. An elbow joint torque measurement device (EJTMD) was developed, and its torque consistency and repeatability were evaluated at various misalignment positions using a joint simulation model. Clinical experiments compared torque measurements between the EJTMD and a traditional standard dynamometer during maximum voluntary contraction (MVC) tests at different misalignment positions.</p><p><strong>Result: </strong>The simulation test results demonstrate that the AFAJTM system can achieve high-precision torque measurements, with measurement errors controlled within ± 0.5 Nm at various misalignment positions. Clinical experiment data show that the EJTMD exhibits high consistency in torque measurements compared to the traditional standard dynamometer across five different misalignment positions, with strong repeatability and reliability.</p><p><strong>Conclusion: </strong>The AFAJTM system provides a novel solution for joint torque measurement under human-machine axis misalignment conditions, a solution that eliminates the need for axis alignment, effectively overcoming the limitations of traditional measurement devices. This system can be widely applied in various devices that require joint torque measurement, demonstrating excellent adaptability and high-precision measurement capabilities.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"25"},"PeriodicalIF":2.9,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11852568/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}