Biomedizinische Technik. Biomedical engineering最新文献

Depth-adaptive suppression of subject-dependent interference for robust cross-subject EEG emotion recognition. 深度自适应抑制主体依赖干扰的鲁棒跨主体EEG情绪识别。

Biomedizinische Technik. Biomedical engineering Pub Date : 2026-11-02 DOI: 10.1515/bmt-2026-0393

Weiwei Liu, Liangxun Shuo

{"title":"Depth-adaptive suppression of subject-dependent interference for robust cross-subject EEG emotion recognition.","authors":"Weiwei Liu, Liangxun Shuo","doi":"10.1515/bmt-2026-0393","DOIUrl":"https://doi.org/10.1515/bmt-2026-0393","url":null,"abstract":"Objectives: Cross-subject electroencephalography (EEG) emotion recognition is limited by inter-subject variability, which embeds subject-specific nuisance information in learned representations and reduces generalization to unseen individuals.Methods: We propose a two-stage layer-adaptive subject-interference suppression framework built on EEG Conformer. In the search stage, differentiable gates and adversarial subject classifiers are attached to hierarchical representations from the patch embedding layer and Transformer blocks to estimate where subject information is most strongly encoded. The top-ranked layers are then fixed and the model is retrained for final emotion classification. A subject-aware supervised contrastive regularizer is further used to improve label-consistent cross-subject representation learning.Results: Experiments on SEED under strict leave-one-subject-out evaluation show improved performance over representative machine-learning, domain-adaptation, and deep-learning baselines. Auxiliary experiments on SEED-IV indicate adaptability under a more challenging label setting. Layer-wise probing shows that subject-specific information remains decodable across depths but is relatively stronger in shallow and early intermediate representations.Conclusions: Selective depth-aware suppression provides a practical and interpretable strategy for robust EEG-based affective brain-computer interfaces.","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149302938","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

Design of an adaptive lower limb rehabilitation system with virtual reality and multimodal biosignals. 基于虚拟现实和多模态生物信号的自适应下肢康复系统设计。

Biomedizinische Technik. Biomedical engineering Pub Date : 2026-10-26 DOI: 10.1515/bmt-2026-0521

Xujia Kuang, Zhiqiang Yin, Xiao Wang, Hongda Ouyang

{"title":"Design of an adaptive lower limb rehabilitation system with virtual reality and multimodal biosignals.","authors":"Xujia Kuang, Zhiqiang Yin, Xiao Wang, Hongda Ouyang","doi":"10.1515/bmt-2026-0521","DOIUrl":"https://doi.org/10.1515/bmt-2026-0521","url":null,"abstract":"Objectives: To develop and evaluate a virtual-reality-enhanced lower-limb rehabilitation framework that combines EEG-based motor-intention detection, robotic gait assistance, trunk-motion assessment, and lumbar surface electromyography to support multimodal assessment, interactive training, and therapist-oriented performance monitoring.Methods: Nine healthy participants completed VR-enhanced EEG motor-imagery training, open-loop calibration, closed-loop exoskeleton-triggering, trunk-attitude assessment, and lumbar-sEMG evaluation in separate experimental sessions. A four-degree-of-freedom hip-knee exoskeleton was integrated with participant-specific CDF threshold calibration, treadmill synchronization, VR rehabilitation tasks, attitude sensing, and RMS/MPF analysis. Participant identity was consistent across modalities, although the signals were not acquired simultaneously.Results: The seated VR motor-imagery condition produced the highest open-loop command accuracy of 75.35 ± 4.21 %. Mean closed-loop gait-triggering accuracy was 76.7 ± 10.0 %, ranging from 60 % to 90 %. Mean trunk-movement magnitudes were 30.8°, 30.7°, 91.3°, and 31.0° for left lateral flexion, right lateral flexion, forward flexion, and backward extension, respectively. System prompting increased mean RMS from 0.094759 to 0.103330 mV and reduced mean MPF from 111.2023 to 103.0729 Hz.Conclusions: The findings support the feasibility of integrating intention-driven exoskeleton control, VR interaction, postural assessment, and muscular-response monitoring within a unified rehabilitation framework for adaptive, multimodal rehabilitation.","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149278713","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

Pulmonary CT classification based on CNN and Grad-CAM explainability using VGG16 and MobileNetV2. 基于CNN和Grad-CAM的肺部CT分类，使用VGG16和MobileNetV2的可解释性。

Biomedizinische Technik. Biomedical engineering Pub Date : 2026-10-13 DOI: 10.1515/bmt-2026-0463

Chenteng Chen, Zilong Li, Runnan Chen, Jian Lin

{"title":"Pulmonary CT classification based on CNN and Grad-CAM explainability using VGG16 and MobileNetV2.","authors":"Chenteng Chen, Zilong Li, Runnan Chen, Jian Lin","doi":"10.1515/bmt-2026-0463","DOIUrl":"https://doi.org/10.1515/bmt-2026-0463","url":null,"abstract":"Objectives: This study compared the classification performance of VGG16 and MobileNetV2 models for normal-versus-lung-cancer-positive pulmonary CT image classification, with Grad-CAM used for post-hoc visual explainability.Methods: A hospital-provided dataset of 550 non-contrast thoracic CT images, comprising 240 normal and 310 lung cancer-positive images, was divided into training, validation and test subsets using a patient-grouped stratified 50/10/40 split. Images were acquired at 120 kV with a 512 × 512 matrix using a NeuViz 128 CT scanner. Both models used the same preprocessing, training-only augmentation and evaluation protocol. The VGG16 model used stacked convolutional blocks, whereas MobileNetV2 used inverted residual bottlenecks with global average pooling, dropout and a sigmoid classification layer. Performance was assessed using accuracy, sensitivity, specificity, precision, F1-score, balanced accuracy, ROC-AUC, MCC and Cohen's kappa, while Grad-CAM examined decision-relevant regions.Results: On the 220-image independent test set, VGG16 achieved 0.9636 accuracy, 0.9677 sensitivity, 0.9583 specificity and 0.9569 ROC-AUC. MobileNetV2 achieved 0.9909 accuracy, 0.9919 sensitivity, 0.9896 specificity and 0.9858 ROC-AUC, with fewer false-positive and false-negative predictions.Conclusions: MobileNetV2 achieved stronger held-out test performance than VGG16 under identical experimental conditions. Larger multi-centre patient-level validation remains necessary before clinical deployment in CT screening workflows.","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149170077","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

Multiple classification of childhood and juvenile autism spectrum disorder from ABIDE-II sMRI using BN-GO-CNN. 基于BN-GO-CNN的ABIDE-II sMRI对儿童和青少年自闭症谱系障碍的多重分类

Biomedizinische Technik. Biomedical engineering Pub Date : 2026-10-12 DOI: 10.1515/bmt-2026-0387

Yu Ke, Qingliang He, Wei Jiang, Yusi Chen, Yueqian Ke

{"title":"Multiple classification of childhood and juvenile autism spectrum disorder from ABIDE-II sMRI using BN-GO-CNN.","authors":"Yu Ke, Qingliang He, Wei Jiang, Yusi Chen, Yueqian Ke","doi":"10.1515/bmt-2026-0387","DOIUrl":"https://doi.org/10.1515/bmt-2026-0387","url":null,"abstract":"Objectives: Autism spectrum disorder (ASD) shows heterogeneous neurodevelopmental patterns across childhood, juvenile development, and adulthood, so binary MRI classification may not fully capture age-and sex-related variation. This study proposes a proof-of-concept framework for multiple classification using ABIDE-II T1-weighted structural MRI (sMRI).Methods: After image-quality screening, sMRI slices were processed using Canny edge detection, brain-region cropping, 224 × 224 resizing, and augmentation. Images were organized into sex-based four-class, age-based four-class, and combined age-and-sex eight-class datasets, separating child, young, juvenile, adult, male, and female groups. A Batch-Normalized Grid-Optimized CNN (BN-GO-CNN) was developed to learn structural representations directly from preprocessed sMRI, with grid search used to select key CNN hyperparameters. The model was compared with VGG16, DenseNet201, MobileNetV2, and EfficientNet-B0 using identical image partitions.Results: BN-GO-CNN achieved validation accuracies of 67.0 %, 64.0 %, and 60.5 % for sex-based, age-based, and combined age-and-sex classification, respectively. These outcomes remained above chance but showed limited class separability.Conclusions: The modest performance suggests that label-related sMRI differences are subtle, supporting this framework as a preliminary test of CNN-assisted sMRI classification for future research use rather than a clinically reliable ASD diagnostic system.","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149149715","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

Exploratory thyroid ultrasound-computed tomography synthesis using anatomy-preserving contrastive unpaired translation. 探索性甲状腺超声-计算机断层摄影合成，采用解剖保留对比不成对平移。

Biomedizinische Technik. Biomedical engineering Pub Date : 2026-10-07 DOI: 10.1515/bmt-2026-0248

Enhui He, Yiran Wang, Zhanxiong Yi, Ying Feng, Zihong Cong, Zhixiang Wang

{"title":"Exploratory thyroid ultrasound-computed tomography synthesis using anatomy-preserving contrastive unpaired translation.","authors":"Enhui He, Yiran Wang, Zhanxiong Yi, Ying Feng, Zihong Cong, Zhixiang Wang","doi":"10.1515/bmt-2026-0248","DOIUrl":"https://doi.org/10.1515/bmt-2026-0248","url":null,"abstract":"Objectives: When ultrasound (US) and computed tomography (CT) are both clinically indicated, unpaired image translation may support model development but cannot replace either examination. We evaluated Anatomy-Preserving Contrastive Unpaired Translation (AP-CUT), a CUT-based framework with a CT-source Sobel edge-consistency term for CT → US translation.Methods: The study used 832 malignant thyroid US images from TN5000 and 800 cervical CT slices from Head-Neck-CHUM. CycleGAN, CUT, and AP-CUT were compared with a low-dimensional Fréchet proxy and nearest-neighbor SSIM/PSNR. Bounding boxes were used only to prepare local US regions for qualitative US → CT examples. A separate single-run experiment treated 600 CT → US outputs as malignant-class training examples and evaluated three classifiers.Results: AP-CUT had the highest CT → US nearest-neighbor SSIM (0.1388), compared with 0.0982 for CUT and 0.1247 for CycleGAN. CycleGAN had the lowest US → CT proxy FID (10.4; lower is better). In the classification experiment, the absolute AUC change was +0.0002 for ResNet-50, +0.0261 for EfficientNet-B4 (0.7297 to 0.7558), and -0.0109 for EfficientNet-B4 + CBAM.Conclusions: The CT-source regularizer improved one relative structural proxy over CUT, but absolute structural scores remained low. US → CT outputs are local CT-domain-styled patches rather than reconstructed axial CT images, and the mixed single-run classification results do not establish clinical utility.","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149120085","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

Mitigating the effects of breast and excitation-source misalignment in low-frequency breast cancer detection. 减轻乳房和兴奋源错位在低频乳腺癌检测中的影响。

Biomedizinische Technik. Biomedical engineering Pub Date : 2026-09-16 DOI: 10.1515/bmt-2025-0479

Ghazaleh Tashtarian, Ahad Tavakoli, Abdolali Abdipour, Ali M Almuhlafi, Omar M Ramahi

{"title":"Mitigating the effects of breast and excitation-source misalignment in low-frequency breast cancer detection.","authors":"Ghazaleh Tashtarian, Ahad Tavakoli, Abdolali Abdipour, Ali M Almuhlafi, Omar M Ramahi","doi":"10.1515/bmt-2025-0479","DOIUrl":"https://doi.org/10.1515/bmt-2025-0479","url":null,"abstract":"Objectives: Accurate breast-tumor detection requires precise positioning of both the excitation source and the breast, as motion or misalignment can degrade imaging performance. This work presents a novel technique to compensate for this effect and to reliably identify tumor presence and 2-D localization in breast impressions.Methods: A numerical alignment approach was developed to estimate source-breast misalignment via cross-correlation and compensate for the resulting displacement using Fourier-domain phase compensation. An electrically small 200-MHz loop antenna was used as a non-ionizing excitation source to provide adequate penetration. In addition, a method was developed to generate MRI-derived contralateral breast phantoms based on enantiomorphic breast anatomy, thereby enhancing simulation realism.Results: Comprehensive simulations on a realistic heterogeneously dense breast model demonstrate that the proposed technique consistently detects tumors of varying sizes, depths, and locations under excitation-source and breast misalignment in the presence of AWGN with an SNR of 30 dB. The robustness of the method was further assessed under different noise levels. Quantitative positioning-error analysis confirms high localization accuracy, yielding an average positioning-error reduction of 85.75 % across the evaluated simulation scenarios.Conclusions: The proposed alignment method effectively mitigates excitation-source and breast misalignment in low-frequency breast imaging, enabling non-ionizing tumor detection with accurate 2-D localization.","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148972774","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

An ultra-miniaturized dual-band circularly polarized implantable antenna for neuromuscular prosthetic interfaces. 一种用于神经肌肉修复界面的超小型化双频圆极化植入式天线。

Biomedizinische Technik. Biomedical engineering Pub Date : 2026-09-14 DOI: 10.1515/bmt-2026-0098

Anju A Chandran, Malathi Kanagasabai, Sangeetha Subbaraj, Gulam Nabi Alsath Mohammed, Sandeep Kumar Palaniswamy

{"title":"An ultra-miniaturized dual-band circularly polarized implantable antenna for neuromuscular prosthetic interfaces.","authors":"Anju A Chandran, Malathi Kanagasabai, Sangeetha Subbaraj, Gulam Nabi Alsath Mohammed, Sandeep Kumar Palaniswamy","doi":"10.1515/bmt-2026-0098","DOIUrl":"https://doi.org/10.1515/bmt-2026-0098","url":null,"abstract":"Objectives: This research article presents an ultra-miniaturized dual-band circularly polarized implantable antenna, operating in the 915 MHz and 2,450 MHz Industrial, Scientific, and Medical (ISM) bands. The antenna has an electrical dimension of 0.0122λ o × 0.0122λ o × 0.00099λ o , making it suitable for space-constrained neuromuscular implantable medical devices.Methods: Dual-band operation and antenna miniaturization are accomplished through the integration of π, trapezoidal, and I-shaped slots. Circular polarization (CP) is generated by employing asymmetric L-shaped hook slots and a mirrored Y-slot. This design eliminates the need for vias, ground-plane alterations, and intricate feeding techniques.Results: The proposed design achieves right-hand circular polarization (RHCP) at 915 MHz and left-hand circular polarization (LHCP) at 2,450 MHz. Prototype measurements conducted in a muscle-mimicking solution indicate reflection coefficient bandwidths of 10.33 % and 5.8 %, axial ratio bandwidths of 8.5 % and 4.9 %, and gains of -21.3 dBi and -20.9 dBi at the lower and upper ISM bands, respectively. Specific absorption rate (SAR) analysis yields peak values of 224.6 and 208.2 W/kg (1 g average) and 43.44 and 33.6 W/kg (10 g average) at 915 and 2,450 MHz, confirming compliance with implantable antenna safety standards. Link margins exceeding 20 dB are obtained at transmission distances of 3.34 m and 11.09 m for the respective ISM bands.Conclusions: The proposed implantable antenna features an ultra-miniaturized size and supports dual-band operation with CP property. Experimental validation confirms that the proposed dual-band CP implantable antenna is well suited for neuromuscular prosthetic interface applications.","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148972741","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

Effects of selective sensory-feedback absence on reach-to-grasp kinematics in virtual reality. 虚拟现实中选择性感觉反馈缺失对够握运动学的影响。

Biomedizinische Technik. Biomedical engineering Pub Date : 2026-09-11 DOI: 10.1515/bmt-2026-0295

Muhammad Awais Hafeez, Asim Ghaffar, Tayyaba Roshni, Raymond Holt, Rachel Coats, Mark Mon-Williams

{"title":"Effects of selective sensory-feedback absence on reach-to-grasp kinematics in virtual reality.","authors":"Muhammad Awais Hafeez, Asim Ghaffar, Tayyaba Roshni, Raymond Holt, Rachel Coats, Mark Mon-Williams","doi":"10.1515/bmt-2026-0295","DOIUrl":"https://doi.org/10.1515/bmt-2026-0295","url":null,"abstract":"Objectives: We investigated spatiotemporal kinematics of reach-to-grasp movements in virtual environments (VEs) with different sensory feedback and compared them with natural prehension in a physical environment. Aim determined how combinations of haptic and visual feedback influence performance in VR.Methods: Participants performed reach-to-grasp tasks with objects of sizes placed at two distances under three conditions: physical environment with full sensory feedback, VE with haptic feedback but no hand vision, and VE with hand vision but no haptic feedback. Hand movements were tracked using HTC Vive and Leap Motion, with kinematic recording from Optotrak. Variables analyzed included peak reaching velocity, movement time, deceleration time, and grip aperture.Results: Movements in virtual environments showed lower and earlier peak velocities, longer movement and deceleration times, and larger grip apertures than the physical environment. VEs haptic feedback without vision produced wider grip apertures than vision without haptics. Despite these differences, coordination between reaching and grasping components remained consistent with natural prehension patterns.Conclusions: This study provides insights into the trade-offs between visual and haptic sensory feedback in VR-based prehension. It highlights the importance of sensory integration for effective reach-to-grasp performance and offers guidance for the design of virtual reality systems and experimental protocols investigating motor control.","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932098","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

Effect of liquid rubber coating on hydration, mechanical properties and strain measurement in biomechanical testing of bone. 液体橡胶涂层对骨生物力学试验中水化、力学性能和应变测量的影响。

Biomedizinische Technik. Biomedical engineering Pub Date : 2026-09-11 DOI: 10.1515/bmt-2025-0516

Markus Greinwald, Sarah Stoiber, Peter Augat

{"title":"Effect of liquid rubber coating on hydration, mechanical properties and strain measurement in biomechanical testing of bone.","authors":"Markus Greinwald, Sarah Stoiber, Peter Augat","doi":"10.1515/bmt-2025-0516","DOIUrl":"https://doi.org/10.1515/bmt-2025-0516","url":null,"abstract":"Objectives: This study evaluates liquid-rubber-coating to prevent moisture loss in bone during long-term biomechanical testing and digital image correlation (DIC) measurements. Can liquid-rubber-coating preserve bone mechanical properties and enhance DIC measurements?Methods: Two experimental series used porcine femora in a 4-point-bending setup (n=6). Series 1 compared dehydration with and without rubber-coating during a 21-h drying period, focusing on bending stiffness and weight loss. Series 2 compared liquid-rubber-coating to acrylic-paint for DIC measurements across 50-2,000 µε principal strain.Results: After 21 h, weight loss of the uncoated samples was almost three times higher (7.9 ± 0.4 % vs. 2.9 ± 0.6 %, p<0.001). Bare samples increased bending stiffness by 16.3 ± 4.7 % (p=0.003) vs. 5.8 ± 4.0 % (p=0.155) with coating. DIC noise was 174 ± 121 µε with acrylic-coating and 158 ± 113 µε with liquid-rubber (p=0.700). Bland-Altman analysis showed no significant differences between the groups (p≥0.128).Conclusions: The liquid-rubber-coating substantially reduced moisture loss and maintained bone mechanical properties over 21 h, without significant alteration to mechanical properties. DIC performance showed no consistent coating-related differences, indicating the coating as a time-stable, water-impermeable alternative to acrylics. Notably, coated samples exhibited reduced odour. Future work should test liquid-rubber-coatings under physiological loading in human bone to improve DIC accuracy for finite element validation and digital twin precision.","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932126","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

Towards adaptive flight support: EEG-based cognitive workload monitoring in aviation scenarios. 面向自适应飞行支持：航空场景中基于脑电图的认知工作负荷监测。

Biomedizinische Technik. Biomedical engineering Pub Date : 2026-09-10 DOI: 10.1515/bmt-2026-0396

Li Ji, Quancao Sun, Jingming Wan, Xinxi Zhang, Leiye Yi

{"title":"Towards adaptive flight support: EEG-based cognitive workload monitoring in aviation scenarios.","authors":"Li Ji, Quancao Sun, Jingming Wan, Xinxi Zhang, Leiye Yi","doi":"10.1515/bmt-2026-0396","DOIUrl":"https://doi.org/10.1515/bmt-2026-0396","url":null,"abstract":"Objectives: Cognitive load is a critical factor that influences aviation safety. During complex flight operations, pilots' cognitive load increases significantly, which may adversely affect flight performance.Methods: To explore this relationship, a simulated flight using a Cessna 172 platform was conducted, during which Electroencephalography (EEG) signals were recorded across different flight phases. In parallel, pilots' subjective workload was assessed using the NASA-TLX scale. Frequency-domain and functional connectivity analyses were subsequently employed to assess the pilots' cognitive load based on EEG features and brain network connectivity patterns.Results: The results revealed that during take-off, turning, and landing phases, significant alterations in EEG activity were observed in the frontal regions, with alpha and beta rhythms exhibiting phase-dependent desynchronization. Furthermore, both the global efficiency and transitivity of brain functional networks in the alpha and beta bands exceeded those observed during the cruising phase. The Phase Locking Value (PLV) heatmaps and partial directed coherence (PDC) analyses also demonstrated increased frequency and complexity of inter-regional information transfer during these high-demand phases.Conclusions: These findings suggest that EEG-based cognitive load assessment offers a valuable foundation for developing pilot support systems and adaptive flight control strategies, thereby enhancing flight performance and aviation safety.","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148914522","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