BioMedical Engineering OnLine最新文献

{"title":"A KNN-based model for non-invasive prediction of hemorrhagic shock severity in prehospital settings: integrating MAP, P_BUCO₂, P_TCO₂, and PPV.","authors":"Peng Zhao, Wencai Pan, Xin Zou, Jiaqing Yang, Shihui Zhang, Yufei Liu, Yang Li","doi":"10.1186/s12938-025-01394-5","DOIUrl":"10.1186/s12938-025-01394-5","url":null,"abstract":"<p><strong>Background: </strong>Rapid prehospital assessment of hemorrhagic shock severity is critical for trauma triage and intervention. Current non-invasive single-parameter monitoring shows limited diagnostic reliability. We developed a multi-parameter predictive model integrating mean arterial pressure (MAP), buccal mucosal CO₂ (P_BUCO₂), transcutaneous oxygen (P_TCO₂), and pulse pressure variation (PPV). using K-nearest neighbors (KNN) algorithm.</p><p><strong>Methods: </strong>Forty-five Wistar rats were randomly divided into five groups (n = 9) with different blood loss amounts. MAP, P_BUCO₂, P_TCO₂, and PPV measurements were continuously obtained. A multi-parameter shock severity prediction model was established based on the KNN algorithm. Leave-one-out cross-validation was used to determine the value of K. Meanwhile, a prediction model based on the support vector machine (SVM) algorithm was established. The performance of the two prediction models was compared using confusion matrices and receiver operating characteristic (ROC) curve.</p><p><strong>Results: </strong>When the training vs testing data set ratio is 7:3 or 6:4, and K = 3, the KNN-based model has the best prediction accuracy (94.82% and 93.51%). The confusion matrix and ROC evaluation showed that the overall performance of the KNN-based model is superior to that of the SVM-based model, at all levels of blood loss (F1 = 95.09% and 93.99%, AUC = 1 and 0.97 for the KNN-based model at 7:3 and 6:4 dataset ratio; F1 = 83.84% and 84.86%, AUC = 0.97 and 0.97 for the SVM-based model at 7:3 and 6:4 dataset ratio).</p><p><strong>Conclusions: </strong>Using the detection indicators MAP, P_BUCO₂, P_TCO₂ and PPV, the KNN-based rat hemorrhagic shock severity prediction model has high accuracy and stability, and demonstrates potential feasibility for severity stratification of hemorrhagic shock in standardized preclinical models, providing a foundation for future clinical validation in prehospital environments.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"62"},"PeriodicalIF":2.9,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12090682/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144109615","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":"Concurrent vs. sequential chemoradiotherapy: a survival boost for lung cancer patients.","authors":"Jinbiao Xu, Qiao Ji, Jianxiong Deng, Feng Yu","doi":"10.1186/s12938-025-01390-9","DOIUrl":"10.1186/s12938-025-01390-9","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To investigate the clinical efficacy, incidence of radiation pneumonitis, and impact on lung function of sequential chemoradiotherapy (SCRT) and concurrent chemoradiotherapy (CCRT) in the treatment of lung cancer.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Method: &lt;/strong&gt;From January 2020 to December 2022, 158 patients with non-small cell lung cancer (NSCLC) were admitted to our hospital and chosen as the study subjects. Their clinical data were analyzed retrospectively and organized into a control group (n = 78, received SCRT) and an observation group (n = 80, received CCRT). Lesion sizes measured through CT scans were used to compare the clinical efficacy between the two groups. The study also compared the rates of adverse reactions, radiation pneumonitis, and lung function pre- and post-treatment, including forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and FEV1/FVC ratio. The comparison of serum tumor marker levels was conducted between two groups, with patients being observed over a 36-month period. Kaplan-Meier survival curves were used to analyze the changes in overall survival rate (OSR), progression-free survival (PFS), and overall survival (OS) between two groups of patients.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;For the observation group, the remission rate was 90.00%, and for the control group, it was 74.36%. The control rates were 96.25% for the observation group and 89.74% for the control group. Significantly higher remission and control rates were observed in the observation group than in the control group (P &lt; 0.05). The hemoglobin reduction grade 0 was 81.2% in the observation group, compared to 58.9% in the control group. In terms of leukopenia reduction (grades 0-III) and hemoglobin reduction (grades 0-II), the observation group outperformed the control group (P &lt; 0.05). In the observation group, 25.00% of patients experienced radiation pneumonitis, a higher rate compared to the 8.97% in the control group (P &lt; 0.05). Overall, the control group experienced more severe radiation-induced lung injury compared to the observation group, with 6.41% of cases reaching grade IV, unlike the 0.00% in the observation group. Grade II accounted for 1.28% in the control group, a figure significantly lower than the 21.25% in the observation group (P &lt; 0.05). Post-treatment, the FEV1, FVC, and FEV1/FVC values rose in both groups, with the observation group displaying significantly greater increases than the control group (P &lt; 0.05). Also, after treatment, there was a decrease in CA125, SCC Ag, and CYFRA21-1 levels in both groups, with the observation group having significantly lower levels than the control group (P &lt; 0.05). According to the Kaplan-Meier survival curve analysis, the observation group achieved an OSR of 90.00%, which exceeded the 83.33% of the control group (P &gt; 0.05). Furthermore, PFS and OS levels were elevated in the observation group relative to the control group (P &lt; 0.05).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion:","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"60"},"PeriodicalIF":2.9,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12083122/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085729","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":"Investigating the correlation between smoking and blood pressure via photoplethysmography.","authors":"Q Qananwah, H Quran, A Dagamseh, V Blazek, S Leonhardt","doi":"10.1186/s12938-025-01373-w","DOIUrl":"10.1186/s12938-025-01373-w","url":null,"abstract":"<p><p>Smoking has been widely identified for its detrimental effects on human health, particularly on the cardiovascular health. The prediction of these effects can be anticipated by monitoring the dynamic changes in vital signs and other physiological signals or parameters such as heart rate, blood pressure (BP), Electrocardiogram (ECG), and Photoplethysmogram (PPG), which subtly encode smoking-related effects. We investigated the influence of different smoking habits-normal cigarettes (NC), electronic cigarettes (EC), and shisha (SH)-on BP through analysis of ECG and PPG signals. The measurements of these physiological signals were taken across three distinct smoking phases: \"before\", \"during\", and \"after\" smoking. The study assessed changes in heart rate, as well as morphological and statistical characteristics of ECG and PPG signals, induced by smoking. A machine learning (ML) model was developed to predict BP values with different smoking habits and smoking phases, while also evaluating the temporal effects of smoking phases. Results show that smoking markedly alters PPG features in such it significantly affects systolic time, heart rate, peak pulse interval variability, and augmentation index. BP variations were evident across all smoking habits and phases. The ML model demonstrated strong accuracy in estimating systolic blood pressure (SBP) and diastolic blood pressure (DBP) during and post-smoking, with a mean error of 0.01 ± 0.29 mmHg and a root mean square error (RMSE) of 0.2924 mmHg for DBP and RMSE of 0.0082 mmHg for SBP. Such a study underscores the pronounced effect of smoking on BP and its potential role in cardiovascular system alterations, offering insights into the development of related diseases.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"57"},"PeriodicalIF":2.9,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12070705/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143960628","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":"Reliability analysis of hospital infusion pumps: a case study.","authors":"Mayla Dos S Silva, Maria Alzira de A Nunes, Suélia de Siqueira R F Rosa, Antônio Piratelli-Filho","doi":"10.1186/s12938-025-01389-2","DOIUrl":"https://doi.org/10.1186/s12938-025-01389-2","url":null,"abstract":"<p><strong>Background: </strong>Infusion pumps (IPs) are medical devices used for the continuous and precise delivery of medications or nutrients. Their use has expanded and is now widespread in emergency rooms, ICUs, pediatrics, and other hospital departments. Failures in IPs can lead to adverse events, compromising patient health. In addition to the risks to patients, IPs are the medical devices most frequently associated with reports of adverse events in Brazil, highlighting the need to monitor their operational conditions to minimize failures during use.</p><p><strong>Results: </strong>Thus, the objective of this research is to analyze the reliability of infusion pumps (IPs) in a Brazilian hospital using an internal database from Clinical Engineering software. Probability distributions for repair time and time between failures were modeled, and parameters such as reliability and availability were calculated, with a focus on investigating hospital departments with recurring failures.</p><p><strong>Conclusion: </strong>In evaluating the operating equipment, a lack of detail in failure notes and service order openings was observed, which can hinder maintenance planning. The longest repair times were recorded in the ICU (Neurology), which houses the majority of IPs. Graphical analysis and testing demonstrated that the Weibull distribution effectively models both time between failures and repair time. The IP A model showed better results in terms of availability and reliability, thereby improving the security of the IPs.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"55"},"PeriodicalIF":2.9,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12060531/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143959187","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":"Modification of the toronto rehabilitation institute-hand function test for integration into robot-assisted therapy: technical validation and usability.","authors":"Aisha Raji, Stephanie DiNunzio, Andrew Whitmell, Cesar Marquez-Chin, Milos R Popovic","doi":"10.1186/s12938-025-01384-7","DOIUrl":"https://doi.org/10.1186/s12938-025-01384-7","url":null,"abstract":"<p><strong>Background: </strong>Effective rehabilitation of the upper extremity function is vital for individuals recovering from stroke or cervical spinal cord injury, as it can enable them to regain independence in daily tasks. While robotic therapy provides precise and consistent motor training, it often lacks the integration of real-world objects that stimulate sensorimotor experiences. The Toronto Rehabilitation Institute-Hand Function Test (TRI-HFT) utilizes 19 everyday items to assess hand function. This study aims to modify the 3D-printed TRI-HFT objects to ensure their compatibility with robotic manipulation, thereby enhancing the functional relevance of robot-assisted rehabilitation, and to evaluate the usability of the new robotic system to ensure its safety and technical performance.</p><p><strong>Results: </strong>We successfully redesigned the 3D-TRI-HFT objects to enable manipulation by a robotic arm equipped with a gripper. The modified 3D-printed objects closely matched the original specifications, with most weight and size deviations within acceptable limits. Performance tests demonstrated reliable robotic manipulation, achieving a 100% success rate in 50 pick-and-place trials for each object without any breakage or slippage. Usability assessments further supported the system's performance, indicating that participants found the system engaging, useful, and comfortable.</p><p><strong>Conclusions: </strong>The modified 3D-printed TRI-HFT objects allow seamless integration into robotic therapy, facilitating the use of real-world objects in rehabilitation exercises. These modifications enhance functional engagement without compromising user interaction with the objects, demonstrating the feasibility of combining traditional rehabilitation tools with robotic systems, potentially leading to improved outcomes in upper extremity rehabilitation. Future research may focus on adapting these designs for compatibility with a broader range of robotic equipment, reducing the cost of the objects as 3D printing technology advances, and evaluating the system's performance among individuals with stroke and SCI.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"54"},"PeriodicalIF":2.9,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12060526/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143962979","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":"Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning.","authors":"Miao Qinghao, Zhou Sheng, Yang Jun, Wang Xiaochun, Zhang Min","doi":"10.1186/s12938-025-01388-3","DOIUrl":"https://doi.org/10.1186/s12938-025-01388-3","url":null,"abstract":"<p><strong>Background: </strong>Accurate measurement of anterior segment parameters is crucial for diagnosing and managing ophthalmic conditions, such as glaucoma, cataracts, and refractive errors. However, traditional clinical measurement methods are often time-consuming, labor-intensive, and susceptible to inaccuracies. With the growing potential of artificial intelligence in ophthalmic diagnostics, this study aims to develop and evaluate a deep learning model capable of automatically extracting key points and precisely measuring multiple clinically significant anterior segment parameters from ultrasound biomicroscopy (UBM) images. These parameters include central corneal thickness (CCT), anterior chamber depth (ACD), pupil diameter (PD), angle-to-angle distance (ATA), sulcus-to-sulcus distance (STS), lens thickness (LT), and crystalline lens rise (CLR).</p><p><strong>Methods: </strong>A data set of 716 UBM anterior segment images was collected from Tianjin Medical University Eye Hospital. YOLOv8 was utilized to segment four key anatomical structures: cornea-sclera, anterior chamber, pupil, and iris-ciliary body-thereby enhancing the accuracy of keypoint localization. Only images with intact posterior capsule lentis were selected to create an effective data set for parameter measurement. Ten keypoints were localized across the data set, allowing the calculation of seven essential parameters. Control experiments were conducted to evaluate the impact of segmentation on measurement accuracy, with model predictions compared against clinical gold standards.</p><p><strong>Results: </strong>The segmentation model achieved a mean IoU of 0.8836 and mPA of 0.9795. Following segmentation, the binary classification model attained an mAP of 0.9719, with a precision of 0.9260 and a recall of 0.9615. Keypoint localization exhibited a Euclidean distance error of 58.73 ± 63.04 μm, improving from the pre-segmentation error of 71.57 ± 67.36 μm. Localization mAP was 0.9826, with a precision of 0.9699, a recall of 0.9642 and an FPS of 32.64. In addition, parameter error analysis and Bland-Altman plots demonstrated improved agreement with clinical gold standards after segmentation.</p><p><strong>Conclusions: </strong>This deep learning approach for UBM image segmentation, keypoint localization, and parameter measurement is feasible, enhancing clinical diagnostic efficiency for anterior segment parameters.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"53"},"PeriodicalIF":2.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12056989/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143973810","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":"From gaps to guidelines: a process for providing guidance to bridge evidence gaps.","authors":"Olga Yaroslavtseva, Judith Gargaro, Eleni M Patsakos, Aishwarya Nair, Robert Teasell, Mark T Bayley","doi":"10.1186/s12938-025-01385-6","DOIUrl":"https://doi.org/10.1186/s12938-025-01385-6","url":null,"abstract":"<p><strong>Background: </strong>Despite the proliferation of clinical research that can be used to inform Clinical Practice Guidelines there remain many areas where the number and quality of research studies vary widely. Using the Canadian Clinical Practice Guideline for Moderate-to-Severe Traumatic Brain Injury (MOD-SEV TBI) as an example, there is a lack of robust research evidence, derived from randomized controlled trials, meta-analyses, and systematic reviews to inform the recommendations. Randomized controlled trials in this field often have limitations, such as smaller sample sizes and gender and racial disparities in enrollment, that reduce the level of evidence they can provide. Notably, evidence is often lacking in the priority areas identified by people with lived experience (PWLE) and guideline end-users.</p><p><strong>Methods: </strong>The Canadian Clinical Practice Guideline for MOD-SEV TBI rehabilitation is a Living Guideline that implemented a robust and replicable process to mitigate these issues. This process includes: 1. Identification of Priorities by PWLE of MOD-SEV TBI and Guideline End-Users; 2. Involvement of Diverse Multidisciplinary Expert Panels, Including PWLE; 3. Compilation, Review and Evaluation of Published MOD-SEV TBI Evidence; 4. Identification of Gaps in the Published Literature; 5. Formulation of Recommendations, Rigorous Grading of Available Evidence and Formal Voting; 6. Creation of Knowledge Translation and Mobilization Tools and 7. Publication of the Updated Living Guideline.</p><p><strong>Results: </strong>Since 2014-15, the Canadian TBI Living Guideline has implemented and refined this process to produce high-quality expert consensus-based recommendations and knowledge translation and mobilization tools across 21 comprehensive domains of TBI rehabilitation. There are 351 recommendations in the current version of the Canadian TBI Living Guideline; 68% of these are primarily consensus-based recommendations. Developing a comprehensive guideline in areas where research may not be present or strong ensures that the Guideline is comprehensive and addresses the priority needs of clinicians and PWLE.</p><p><strong>Conclusions: </strong>The use of robust, transparent, and replicable evidence reviews and expert consensus building process produces clinical guidelines that are relevant and applicable even when empirical data are lacking or absent. This process of developing consensus-based recommendations can be used to develop guidelines in other content areas and populations facing similar challenges.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"52"},"PeriodicalIF":2.9,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12049030/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143969048","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":"Industrial-grade collaborative robots for motor rehabilitation after stroke and spinal cord injury: a systematic narrative review.","authors":"Aisha Raji, Urvashy Gopaul, Jessica Babineau, Milos R Popovic, Cesar Marquez-Chin","doi":"10.1186/s12938-025-01362-z","DOIUrl":"10.1186/s12938-025-01362-z","url":null,"abstract":"<p><strong>Background: </strong>There is a growing interest in exploring industrial-grade collaborative robots (cobots) for rehabilitation. This review explores their application for motor rehabilitation of the upper and lower extremities after a stroke and spinal cord injury (SCI). The article highlights the inherent safety features of cobots, emphasizing their design advantages over custom-built or traditional rehabilitation robots in terms of potential safety and time efficiency.</p><p><strong>Methods: </strong>Database searches and reference list screening were conducted to identify studies relating to the use of cobots for upper and lower extremity rehabilitation among individuals with stroke and SCI. These articles were then reviewed and summarized.</p><p><strong>Results: </strong>Thirty-three studies were included in this review. The findings suggest that the use of cobots in motor rehabilitation is still in the early stages. Some of the cobots used were equipped with sensors to detect and respond to the movement of the extremities and minimize the risk of injury. This safety aspect is crucial for patients with motor impairments. Most training protocols implemented with the cobots engaged users in repetitive task-based exercises with an overall positive user experience. Thus far, these devices have been primarily evaluated in individuals with stroke and SCI that affect the lower extremities, with no study addressing upper extremity impairments. This initial focus serves as a preliminary step toward assessing their applicability for individuals with stroke and SCI.</p><p><strong>Conclusions: </strong>Cobots may have the capacity to transform therapy and support healthcare professionals in delivering more personalized and effective rehabilitation. However, there is limited evidence on their use to support upper and lower extremity rehabilitation among individuals with stroke and SCI. Further research and development are needed to refine these technologies and broaden their applications in rehabilitation settings to enhance functional recovery and overall quality of life for individuals with stroke and SCI.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"50"},"PeriodicalIF":2.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12042587/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143961794","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":"Detection of Alzheimer and mild cognitive impairment patients by Poincare and Entropy methods based on electroencephalography signals.","authors":"Umut Aslan, Mehmet Feyzi Akşahin","doi":"10.1186/s12938-025-01369-6","DOIUrl":"https://doi.org/10.1186/s12938-025-01369-6","url":null,"abstract":"<p><p>Alzheimer's disease (AD) is characterized by deficits in cognition, behavior, and intellectual functioning, and Mild Cognitive Impairment (MCI) refers to individuals whose cognitive impairment deviates from what is expected for their age but does not significantly interfere with daily activities. Because there is no treatment for AD, early prediction of AD can be helpful to reducing the progression of this disease. This study examines the Electroencephalography (EEG) signal of 3 distinct groups, including AD, MCI, and healthy individuals. Recognizing the non-stationary nature of EEG signals, two nonlinear approaches, Poincare and Entropy, are employed for meaningful feature extraction. Data should be segmented into epochs to extract features from EEG signals, and feature extraction approaches should be implemented for each one. The obtained features are given to machine learning algorithms to classify the subjects. Extensive experiments were conducted to analyze the features comprehensively. The results demonstrate that our proposed method surpasses previous studies in terms of accuracy, sensitivity, and specificity, indicating its effectiveness in classifying individuals with AD, MCI, and those without cognitive impairment.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"47"},"PeriodicalIF":2.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12023449/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143965197","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":"Complexity of post-concussion syndrome assessment and management: a case for customizing rehabilitation.","authors":"Nicholas Moser, Milos R Popovic, Sukhvinder Kalsi-Ryan","doi":"10.1186/s12938-025-01380-x","DOIUrl":"https://doi.org/10.1186/s12938-025-01380-x","url":null,"abstract":"<p><strong>Background: </strong>Post-concussion syndrome is a challenging condition to manage for even the most experienced chronic pain experts. Patients' presentations are heterogeneous with symptoms spanning physical, cognitive and emotional domains. The symptoms reported are often non-specific, making it difficult for health professionals to prescribe effective rehabilitation. The aim of the present study was to examine the effectiveness of a customized rehabilitation program based on subgroup determination following a standardized clinical exam in adults with post-concussion syndrome.</p><p><strong>Methods: </strong>A total of 16 adults (mean age ± SD, 38.3 ± 12.5 years) with post-concussion syndrome participated in a 6-week rehabilitation program. Participants were recruited from external community concussion clinics around the greater Toronto area, Canada. Participants underwent a comprehensive standardized clinical exam to subgroup the ostensible symptom generators into either autonomic, cervical or vestibulo-ocular. Customized rehabilitation was then prescribed based on their subgroupings. The primary outcome measure was the Rivermead Post-Concussion Questionnaire (RPQ). Secondary outcome measures included the Patient Health Questionnaire-9 (PHQ-9), the Neck Disability Index (NDI), and exercise tolerance as assessed via the Buffalo Concussion Treadmill Test (BCTT).</p><p><strong>Results: </strong>Following 6 weeks of customized rehabilitation, participants on average experienced a significant and clinically meaningful change with respect to the RPQ-3 and RPQ-13 (p < 0.001). We also observed a significant change in all secondary outcome measures including a reduction in PHQ-9 (p < 0.01), NDI (p < 0.001) and exercise tolerance, expressed as heart rate threshold (p < 0.001).</p><p><strong>Conclusion: </strong>The standardized exam was feasible and useful in assisting the clinician in prescribing effective rehabilitation. The 6-week customized rehabilitation program demonstrated significant changes in patient-reported persistent post-concussion symptoms and exercise tolerance. The implementation of a customized program based on a standardized exam performed to subgroup the ostensible symptom generators may be key to successful management in this population.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"48"},"PeriodicalIF":2.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12032806/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958570","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}