Pub Date : 2026-01-01DOI: 10.1016/j.bbe.2025.12.001
Monika Drabik, Ludomira H. Granicka
The skin is an important organ of our bodies, and its ability to restore its function after injury is crucial. Wound healing is a complex, multi-stage process that restores the integrity and function of damaged tissues. Unfortunately, due to the process’s complexity, there is no ideal treatment to enhance the process and reduce scarring. Oxygen is essential for various energy-dependent cellular activities involved in repair, such as immune responses, collagen synthesis, and angiogenesis. Chronic wounds, such as diabetic foot ulcers and pressure ulcers, often result from an imbalance between oxygen supply and demand at the wound site. Understanding the role of oxygen in wound healing is essential for developing effective therapeutic strategies to address hypoxia-related impairments in the healing process. This article highlights the informaftion, including (i) the function of the skin, (ii) the skin tissue wound healing process, (iii) the role of oxygen in wound healing, and (iv) strategies to improve oxygenation. We highlight the advances in wound treatment therapies and the potential benefits and limitations of supplemental oxygen strategies, including hyperbaric oxygen therapy and oxygen-releasing dressings.
{"title":"Advances in wound healing: physiology, complications, the role of oxygen and innovative treatment strategies enhancing oxygenation","authors":"Monika Drabik, Ludomira H. Granicka","doi":"10.1016/j.bbe.2025.12.001","DOIUrl":"10.1016/j.bbe.2025.12.001","url":null,"abstract":"<div><div>The skin is an important organ of our bodies, and its ability to restore its function after injury is crucial. Wound healing is a complex, multi-stage process that restores the integrity and function of damaged tissues. Unfortunately, due to the process’s complexity, there is no ideal treatment to enhance the process and reduce scarring. Oxygen is essential for various energy-dependent cellular activities involved in repair, such as immune responses, collagen synthesis, and angiogenesis. Chronic wounds, such as diabetic foot ulcers and pressure ulcers, often result from an imbalance between oxygen supply and demand at the wound site. Understanding the role of oxygen in wound healing is essential for developing effective therapeutic strategies to address hypoxia-related impairments in the healing process. This article highlights the informaftion, including (i) the function of the skin, (ii) the skin tissue wound healing process, (iii) the role of oxygen in wound healing, and (iv) strategies to improve oxygenation. We highlight the advances in wound treatment therapies and the potential benefits and limitations of supplemental oxygen strategies, including hyperbaric oxygen therapy and oxygen-releasing dressings.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 113-129"},"PeriodicalIF":6.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.bbe.2025.12.004
Jiangtao Wang , Zhenjie Hou , En Lin , Xing Li , JiuZhen Liang , Xinwen Zhou
Patients with Parkinson’s disease typically exhibit varying degrees of motor impairment, and gait analysis can reveal underlying movement patterns, facilitating accurate diagnosis and severity assessment. However, existing methods often struggle to effectively extract local features from multi-sensor signals. In addition, attention mechanisms that operate solely in the time domain are insufficient for capturing the latent discriminative information embedded in complex gait signals, and they also face challenges in modeling global temporal dynamics.To address these issues, we propose a novel gait analysis model named PASgait. The model comprises three functional modules: the Parallel Convolutional Feature Extractor Module (PCFEM), which independently models each sensor signal to enhance the representation of local features; the Adaptive Frequency Attention Module (AFAM), which integrates discrete cosine transform and learnable frequency-domain filters, and feeds frequency-domain attention back into the original time domain via inverse transformation, thereby enriching feature representation; and the Sparse-Aware Gait Encoder (SAGE), which incorporates a sparse attention mechanism and positional encoding to strengthen the modeling of global temporal dependencies.The synergy of these modules significantly improves the model’s ability to capture complex gait dynamics and enhances its discriminative performance. In Parkinson’s disease diagnosis and severity assessment tasks, PASgait achieved accuracies of 97.0% and 87.9%, respectively, outperforming existing mainstream methods and demonstrating strong potential for clinical decision support.
{"title":"A multi-scale spatiotemporal learning framework for Parkinsonian gait analysis","authors":"Jiangtao Wang , Zhenjie Hou , En Lin , Xing Li , JiuZhen Liang , Xinwen Zhou","doi":"10.1016/j.bbe.2025.12.004","DOIUrl":"10.1016/j.bbe.2025.12.004","url":null,"abstract":"<div><div>Patients with Parkinson’s disease typically exhibit varying degrees of motor impairment, and gait analysis can reveal underlying movement patterns, facilitating accurate diagnosis and severity assessment. However, existing methods often struggle to effectively extract local features from multi-sensor signals. In addition, attention mechanisms that operate solely in the time domain are insufficient for capturing the latent discriminative information embedded in complex gait signals, and they also face challenges in modeling global temporal dynamics.To address these issues, we propose a novel gait analysis model named PASgait. The model comprises three functional modules: the Parallel Convolutional Feature Extractor Module (PCFEM), which independently models each sensor signal to enhance the representation of local features; the Adaptive Frequency Attention Module (AFAM), which integrates discrete cosine transform and learnable frequency-domain filters, and feeds frequency-domain attention back into the original time domain via inverse transformation, thereby enriching feature representation; and the Sparse-Aware Gait Encoder (SAGE), which incorporates a sparse attention mechanism and positional encoding to strengthen the modeling of global temporal dependencies.The synergy of these modules significantly improves the model’s ability to capture complex gait dynamics and enhances its discriminative performance. In Parkinson’s disease diagnosis and severity assessment tasks, PASgait achieved accuracies of 97.0% and 87.9%, respectively, outperforming existing mainstream methods and demonstrating strong potential for clinical decision support.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 95-112"},"PeriodicalIF":6.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.bbe.2026.01.001
Vetle Christoffer Frostelid , Lars-Egil R. Hammersboen , Manuel Villegas-Martinez , Fred-Johan Pettersen , Ole Jakob Elle , Per Steinar Halvorsen , Espen W. Remme
The incorporation of miniaturised accelerometers into cardiac implants used in current clinical practice endows access to continuous measurement of heart wall motion and vibrations which may be used to monitor cardiac function without additional risk to patient safety. In this work the path length travelled throughout a heartbeat by an accelerometer attached to the lateral epicardium of the left ventricle is presented as a surrogate for stroke volume, a fundamental parameter of cardiac function. A strong correlation was found between path length and stroke volume in experimental animal data (n=13). Additionally, mathematical models for path length and stroke volume were derived using physiological and geometrical principles, and validated against a measured ground truth. Using the models, path length and stroke volume were both shown to respond similarly to changes in the size of the left ventricle and its contraction, further supporting and explaining the link between the two. The theoretical and empirical evidence presented therefore supports the use of epicardially attached accelerometers for continuous and autonomous monitoring of stroke volume, encouraging further development of epicardial motion sensors for the purpose of clinical or remote assessment of cardiac function.
{"title":"Monitoring stroke volume continuously and autonomously using an epicardial accelerometer","authors":"Vetle Christoffer Frostelid , Lars-Egil R. Hammersboen , Manuel Villegas-Martinez , Fred-Johan Pettersen , Ole Jakob Elle , Per Steinar Halvorsen , Espen W. Remme","doi":"10.1016/j.bbe.2026.01.001","DOIUrl":"10.1016/j.bbe.2026.01.001","url":null,"abstract":"<div><div>The incorporation of miniaturised accelerometers into cardiac implants used in current clinical practice endows access to continuous measurement of heart wall motion and vibrations which may be used to monitor cardiac function without additional risk to patient safety. In this work the path length travelled throughout a heartbeat by an accelerometer attached to the lateral epicardium of the left ventricle is presented as a surrogate for stroke volume, a fundamental parameter of cardiac function. A strong correlation was found between path length and stroke volume in experimental animal data (n=13). Additionally, mathematical models for path length and stroke volume were derived using physiological and geometrical principles, and validated against a measured ground truth. Using the models, path length and stroke volume were both shown to respond similarly to changes in the size of the left ventricle and its contraction, further supporting and explaining the link between the two. The theoretical and empirical evidence presented therefore supports the use of epicardially attached accelerometers for continuous and autonomous monitoring of stroke volume, encouraging further development of epicardial motion sensors for the purpose of clinical or remote assessment of cardiac function.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 130-138"},"PeriodicalIF":6.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-23DOI: 10.1016/j.bbe.2025.12.003
Xinyi Han , Mathieu Specklin , Smaine Kouidri , Louise Koskas , Farid Bakir , Jean-Michel Davaine
This numerical study evaluates the impact of including the aortic arch in in-vivo and in-silico studies, by comparing an abdominal healthy aorta model to an aneurysmal one. CFD simulations were performed using OpenFOAM, with patient-specific blood flow data. Wall shear stress indices (TAWSS, OSI, RRT) and vortex distributions (Q criterion) were analyzed. The results show that the aortic arch amplifies blood flow disturbances, leading to a reduction in TAWSS and an increase in OSI, which may enhance the risk of potential thrombosis. Simplified models without the arch underestimate these effects. The influence of the aortic arch is more pronounced in the abdominal healthy aorta than in the abdominal aortic aneurysm, highlighting the importance of including it in hemodynamic simulations for a more accurate risk assessment.
{"title":"Numerical investigations on the impact of aortic arch inclusion on hemodynamics of abdominal healthy and aneurysmal aorta","authors":"Xinyi Han , Mathieu Specklin , Smaine Kouidri , Louise Koskas , Farid Bakir , Jean-Michel Davaine","doi":"10.1016/j.bbe.2025.12.003","DOIUrl":"10.1016/j.bbe.2025.12.003","url":null,"abstract":"<div><div>This numerical study evaluates the impact of including the aortic arch in in-vivo and in-silico studies, by comparing an abdominal healthy aorta model to an aneurysmal one. CFD simulations were performed using OpenFOAM, with patient-specific blood flow data. Wall shear stress indices (TAWSS, OSI, RRT) and vortex distributions (Q criterion) were analyzed. The results show that the aortic arch amplifies blood flow disturbances, leading to a reduction in TAWSS and an increase in OSI, which may enhance the risk of potential thrombosis. Simplified models without the arch underestimate these effects. The influence of the aortic arch is more pronounced in the abdominal healthy aorta than in the abdominal aortic aneurysm, highlighting the importance of including it in hemodynamic simulations for a more accurate risk assessment.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 76-94"},"PeriodicalIF":6.6,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-19DOI: 10.1016/j.bbe.2025.12.002
Marcin Kołodziej , Andrzej Majkowski , Marcin Jurczak , Andrzej Rysz , Bruno Andò , Remigiusz J. Rak
A method for detecting epileptic spikes in EEG recordings that leverages additional EMG channels to identify and remove muscle artifacts is presented. Unlike conventional approaches, our method models the uneven propagation of muscle artifacts by applying a filter bank and linear regression to clean the EEG signal. Spike detection is then performed using template matching with user-defined parameters, such as amplitude and duration, designed for neurophysiological interpretability. To validate our approach, we developed a dedicated database comprising EEG and EMG recordings from 20 participants. Artificial triangular spikes were added to EEG segments contaminated with muscle artifacts, creating numerous examples of spikes masked by artifacts. This dataset enabled a systematic evaluation of both preprocessing and spike detection techniques. Our method achieved a sensitivity of 0.88, specificity of 1.00, and precision of 0.79 in the detection of simulated spikes. Further testing on real EEG data with interictal spikes and added muscle artifacts yielded a sensitivity of 0.83, specificity of 0.99, and precision of 0.71, demonstrating robust performance even under challenging conditions. These results indicate that incorporating EMG channels to account for muscle activity substantially improves the effectiveness of EEG signal analysis. The proposed approach facilitates reliable detection of epileptic spikes, even when masked by muscle artifacts, and allows neurophysiologists to tailor detection criteria to specific amplitude and temporal features.
{"title":"Method for epileptic spike detection in EEG signals contaminated by muscle artifacts","authors":"Marcin Kołodziej , Andrzej Majkowski , Marcin Jurczak , Andrzej Rysz , Bruno Andò , Remigiusz J. Rak","doi":"10.1016/j.bbe.2025.12.002","DOIUrl":"10.1016/j.bbe.2025.12.002","url":null,"abstract":"<div><div>A method for detecting epileptic spikes in EEG recordings that leverages additional EMG channels to identify and remove muscle artifacts is presented. Unlike conventional approaches, our method models the uneven propagation of muscle artifacts by applying a filter bank and linear regression to clean the EEG signal. Spike detection is then performed using template matching with user-defined parameters, such as amplitude and duration, designed for neurophysiological interpretability. To validate our approach, we developed a dedicated database comprising EEG and EMG recordings from 20 participants. Artificial triangular spikes were added to EEG segments contaminated with muscle artifacts, creating numerous examples of spikes masked by artifacts. This dataset enabled a systematic evaluation of both preprocessing and spike detection techniques. Our method achieved a sensitivity of 0.88, specificity of 1.00, and precision of 0.79 in the detection of simulated spikes. Further testing on real EEG data with interictal spikes and added muscle artifacts yielded a sensitivity of 0.83, specificity of 0.99, and precision of 0.71, demonstrating robust performance even under challenging conditions. These results indicate that incorporating EMG channels to account for muscle activity substantially improves the effectiveness of EEG signal analysis. The proposed approach facilitates reliable detection of epileptic spikes, even when masked by muscle artifacts, and allows neurophysiologists to tailor detection criteria to specific amplitude and temporal features.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 50-75"},"PeriodicalIF":6.6,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-05DOI: 10.1016/j.bbe.2025.11.008
Agnieszka Paziewska-Nowak , Marcin Urbanowicz , Marek Dawgul , Kornelia Bobrowska , Anna Sołdatowska , Marcin Ekman , Dorota G. Pijanowska
pH monitoring in biological fluids plays a critical role in clinical diagnostics and therapeutic management. This study presents a novel solid-contact pH electrode fabricated using a direct-printed (DP) graphite (Gr) electrode on a flexible substrate, followed by an electropolymerized hydrophobic polyazulene (pAz) transducing layer, and an ion-selective membrane (ISM). The pH electrode was paired with a miniaturized solid-state Ag/AgCl reference electrode incorporating a photopolymerized PVA-KCl matrix. The miniaturized reference electrode exhibited excellent potential stability (±2.5 mV across pH 2–11), and minimal signal drift (10 µV/h). The miniaturized pH electrode exhibited a sensitivity of 55.7 mV/dec, with a rapid response time of 6 s (vs. Orion™ ROSS Ultra™ reference electrode) or 42 s (vs. miniaturized solid-state reference electrode) and a linear response over the pH range of 2–10. The pH electrode demonstrated excellent analytical performance in diverse biological fluids, including urine, serum, saliva, and surgical drain fluid, closely matching the performance of a laboratory-grade combined glass pH electrode. These results underscore the potential of the proposed platform as a reliable and technologically scalable tool for real-time pH assessment in biomedical applications.
{"title":"Highly stable direct-printed polyazulene-based miniaturized electrode for pH analysis in human body fluids","authors":"Agnieszka Paziewska-Nowak , Marcin Urbanowicz , Marek Dawgul , Kornelia Bobrowska , Anna Sołdatowska , Marcin Ekman , Dorota G. Pijanowska","doi":"10.1016/j.bbe.2025.11.008","DOIUrl":"10.1016/j.bbe.2025.11.008","url":null,"abstract":"<div><div>pH monitoring in biological fluids plays a critical role in clinical diagnostics and therapeutic management. This study presents a novel solid-contact pH electrode fabricated using a direct-printed (DP) graphite (Gr) electrode on a flexible substrate, followed by an electropolymerized hydrophobic polyazulene (pAz) transducing layer, and an ion-selective membrane (ISM). The pH electrode was paired with a miniaturized solid-state Ag/AgCl reference electrode incorporating a photopolymerized PVA-KCl matrix. The miniaturized reference electrode exhibited excellent potential stability (±2.5 mV across pH 2–11), and minimal signal drift (10 µV/h). The miniaturized pH electrode exhibited a sensitivity of 55.7 mV/dec, with a rapid response time of 6 s (vs. Orion™ ROSS Ultra™ reference electrode) or 42 s (vs. miniaturized solid-state reference electrode) and a linear response over the pH range of 2–10. The pH electrode demonstrated excellent analytical performance in diverse biological fluids, including urine, serum, saliva, and surgical drain fluid, closely matching the performance of a laboratory-grade combined glass pH electrode. These results underscore the potential of the proposed platform as a reliable and technologically scalable tool for real-time pH assessment in biomedical applications.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 40-49"},"PeriodicalIF":6.6,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stroke-induced decoupling of neural control and biomechanics impairs walking. The mechanism by which exoskeleton modulates neuro-biomechanical coupling through mechanical support and assistance remains unclear. This study aims to reveal the coupling relationship between neural control and biomechanics in exoskeleton assisted walking for stroke patients through multimodal analysis. Sixteen stroke and sixteen healthy subjects participated, with kinematic, surface electromyography, and cerebral hemodynamic data collected in 4 exoskeleton assisted walking conditions. We analyzed spatiotemporal parameters, movement coordination, muscle synergy, cortical activation and functional connectivity, as well as lateralization and neural network parameters using hierarchical generalized additive mixed-effects model regression and distance correlation to explore the dynamic nonlinear effects of neuro-biomechanics and symmetry associations. Subjects after stroke showed disturbed movement coordination, simplified muscle synergy, and suppressed cortical activation. The exoskeleton activated ankle anti-phase coordination and partially restores muscle synergy, but led to reduced multi-joint coordination and increased gait speed asymmetry. Cortical activation and functional connectivity decreased for stroke subjects, and cognitively oriented lateralization as well as neural network integration efficiency were increased with exoskeleton intervention. Neuro-biomechanical coupling results indicated that subjects after stroke relied on centralized modulation of supplementary motor area activation to integrate motor planning and execution, and dynamic laterality fluctuation of premotor cortex reflected motor control rhythms by regulating movement variability. The exoskeleton reconfigured neuro-biomechanical coupling, prompting a shift from pathological compensatory discoordination toward motor planning-orientated adaptive control strategy, and providing a rationale for rehabilitation assistance targeting the adaptive reorganization of motor function.
{"title":"Neuro-biomechanical coupling in exoskeleton assisted walking for stroke patients demonstrates adaptive compensation","authors":"Yujia Gao, Jiayi Sun, Chenhao Li, Yufeng Lin, Zilin Wang, Chenghua Jiang, Wenxin Niu","doi":"10.1016/j.bbe.2025.11.007","DOIUrl":"10.1016/j.bbe.2025.11.007","url":null,"abstract":"<div><div>Stroke-induced decoupling of neural control and biomechanics impairs walking. The mechanism by which exoskeleton modulates neuro-biomechanical coupling through mechanical support and assistance remains unclear. This study aims to reveal the coupling relationship between neural control and biomechanics in exoskeleton assisted walking for stroke patients through multimodal analysis. Sixteen stroke and sixteen healthy subjects participated, with kinematic, surface electromyography, and cerebral hemodynamic data collected in 4 exoskeleton assisted walking conditions. We analyzed spatiotemporal parameters, movement coordination, muscle synergy, cortical activation and functional connectivity, as well as lateralization and neural network parameters using hierarchical generalized additive mixed-effects model regression and distance correlation to explore the dynamic nonlinear effects of neuro-biomechanics and symmetry associations. Subjects after stroke showed disturbed movement coordination, simplified muscle synergy, and suppressed cortical activation. The exoskeleton activated ankle anti-phase coordination and partially restores muscle synergy, but led to reduced multi-joint coordination and increased gait speed asymmetry. Cortical activation and functional connectivity decreased for stroke subjects, and cognitively oriented lateralization as well as neural network integration efficiency were increased with exoskeleton intervention. Neuro-biomechanical coupling results indicated that subjects after stroke relied on centralized modulation of supplementary motor area activation to integrate motor planning and execution, and dynamic laterality fluctuation of premotor cortex reflected motor control rhythms by regulating movement variability. The exoskeleton reconfigured neuro-biomechanical coupling, prompting a shift from pathological compensatory discoordination toward motor planning-orientated adaptive control strategy, and providing a rationale for rehabilitation assistance targeting the adaptive reorganization of motor function.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 19-32"},"PeriodicalIF":6.6,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-04DOI: 10.1016/j.bbe.2025.11.002
Matej Daniel , Jan Votava , Júlia Bodnárová , Adam Kratochvíll , Zbyněk Šika , David Pokorný , Petr Fulín
The shoulder’s dynamic function is largely influenced by scapulohumeral rhythm (SHR), a coordinated movement of the scapula and humerus that facilitates a safe range of motion. While SHR has been described and quantified in terms of shoulder kinematics, its specific contribution to glenohumeral joint stability. This study aims to estimate the impact of SHR on glenohumeral stability using a biomechanical model. A five-segment musculoskeletal model based on the work of Wu et al. (2016) was implemented in OpenSim. Three SHR patterns and two loading scenarios were evaluated: a fixed scapula, a humeral-to-scapular motion ratio, and an experimentally measured SHR with free abduction or abduction while holding a 2 kg weight in the hand. Muscle forces and glenohumeral stability ratios were calculated using static optimization, and the model predictions were compared to electromyography and in vivo joint force data. While glenohumeral contact forces showed minimal variation across different SHR conditions, the stability ratio analysis revealed that the absence of SHR significantly increased the risk of joint instability. In scenarios without SHR, even small shoulder elevations resulted in overloading of the superior glenoid. The addition of weight further destabilized the joint, while substantially increasing glenohumeral force. SHR does not reduce the overall glenohumeral load but plays a critical role in maintaining glenohumeral stability, particularly during early phases of shoulder elevation and when holding additional weight. These findings highlight the importance of scapular kinematics in shoulder joint function and may have implications for managing shoulder pathologies such as rotator cuff tears and impingement, where scapular motion is often compromised.
{"title":"Scapulohumeral rhythm preserves glenohumeral stability: Insights from a biomechanical simulation","authors":"Matej Daniel , Jan Votava , Júlia Bodnárová , Adam Kratochvíll , Zbyněk Šika , David Pokorný , Petr Fulín","doi":"10.1016/j.bbe.2025.11.002","DOIUrl":"10.1016/j.bbe.2025.11.002","url":null,"abstract":"<div><div>The shoulder’s dynamic function is largely influenced by scapulohumeral rhythm (SHR), a coordinated movement of the scapula and humerus that facilitates a safe range of motion. While SHR has been described and quantified in terms of shoulder kinematics, its specific contribution to glenohumeral joint stability. This study aims to estimate the impact of SHR on glenohumeral stability using a biomechanical model. A five-segment musculoskeletal model based on the work of Wu et al. (2016) was implemented in OpenSim. Three SHR patterns and two loading scenarios were evaluated: a fixed scapula, a humeral-to-scapular motion ratio, and an experimentally measured SHR with free abduction or abduction while holding a 2 kg weight in the hand. Muscle forces and glenohumeral stability ratios were calculated using static optimization, and the model predictions were compared to electromyography and in vivo joint force data. While glenohumeral contact forces showed minimal variation across different SHR conditions, the stability ratio analysis revealed that the absence of SHR significantly increased the risk of joint instability. In scenarios without SHR, even small shoulder elevations resulted in overloading of the superior glenoid. The addition of weight further destabilized the joint, while substantially increasing glenohumeral force. SHR does not reduce the overall glenohumeral load but plays a critical role in maintaining glenohumeral stability, particularly during early phases of shoulder elevation and when holding additional weight. These findings highlight the importance of scapular kinematics in shoulder joint function and may have implications for managing shoulder pathologies such as rotator cuff tears and impingement, where scapular motion is often compromised.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 33-39"},"PeriodicalIF":6.6,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-03DOI: 10.1016/j.bbe.2025.11.006
Ilaria Toniolo , Emanuele Luigi Carniel , Claudio Fiorillo , Giuseppe Quero , Silvana Perretta , Alice Berardo
Endoscopic Sleeve Gastroplasty (ESG) is currently being used successfully in people with obesity. However, potential long-term side effects are still unknown. Computational biomechanics has emerged as a valid tool to improve the intervention effectiveness.
The aim of this work is to provide an in silico framework to estimate stomach mechanics, as volumetric capacity, structural stiffness, and wall tissue strain, in response to food intake before and after ESG. A cohort of patients who underwent ESG was studied to rationally analyze the reduction in gastric volume and the changes in structural response and strain distribution. Computational predictions were compared with Magnetic Resonance Imaging (MRI) data from post-operative stomachs, allowing the reliability and reproducibility of the methodology to be assessed. Significant differences in stomach mechanics before and after surgery were observed, considering both structural stiffness and tissue strain distribution. This difference may lead to improper activation of mechanoreceptors and thus to variations in satiety after ESG.
The results confirm the suitability of the in silico approach for evaluating bariatric surgery in the short-term, because it shed light on the reduction of stomach capacity and pressurization depending on the amount of food ingested, on the variation of tissue strain distribution, giving to the surgeon information that are currently not available. Leveraging computational modeling may help prevent complications, such as reflux or misplacement of sutures, and enhance outcomes by prescribing gastric-wall loading conditions associated with lower postoperative weight-regain rates.
{"title":"Tailoring Endoscopic sleeve gastroplasty: computational biomechanics for the evaluation and prediction of post-surgical outcomes","authors":"Ilaria Toniolo , Emanuele Luigi Carniel , Claudio Fiorillo , Giuseppe Quero , Silvana Perretta , Alice Berardo","doi":"10.1016/j.bbe.2025.11.006","DOIUrl":"10.1016/j.bbe.2025.11.006","url":null,"abstract":"<div><div>Endoscopic Sleeve Gastroplasty (ESG) is currently being used successfully in people with obesity. However, potential long-term side effects are still unknown. Computational biomechanics has emerged as a valid tool to improve the intervention effectiveness.</div><div>The aim of this work is to provide an in silico framework to estimate stomach mechanics, as volumetric capacity, structural stiffness, and wall tissue strain, in response to food intake before and after ESG. A cohort of patients who underwent ESG was studied to rationally analyze the reduction in gastric volume and the changes in structural response and strain distribution. Computational predictions were compared with Magnetic Resonance Imaging (MRI) data from post-operative stomachs, allowing the reliability and reproducibility of the methodology to be assessed. Significant differences in stomach mechanics before and after surgery were observed, considering both structural stiffness and tissue strain distribution. This difference may lead to improper activation of mechanoreceptors and thus to variations in satiety after ESG.</div><div>The results confirm the suitability of the in silico approach for evaluating bariatric surgery in the short-term, because it shed light on the reduction of stomach capacity and pressurization depending on the amount of food ingested, on the variation of tissue strain distribution, giving to the surgeon information that are currently not available. Leveraging computational modeling may help prevent complications, such as reflux or misplacement of sutures, and enhance outcomes by prescribing gastric-wall loading conditions associated with lower postoperative weight-regain rates.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 9-18"},"PeriodicalIF":6.6,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Human postural stability represents a complex, nonlinear system influenced by a range of biomechanical and environmental factors. The trajectories of the center of pressure (CoP) serve as key indicators of this system’s underlying dynamics and are increasingly being analyzed using nonlinear methods. However, the impact of surface-induced instability during gait remains underexplored. This study aimed to analyze CoP behavior during gait on stable (dry) and unstable (slippery) surfaces by testing three hypotheses: (1) task-induced instability is associated with an increase in CoP complexity; (2) individual variability amplifies dynamic fluctuations under unstable conditions; and (3) repeated exposure to the task attenuates this complexity. Twenty healthy young males completed each walking task three times. CoP dynamics were quantified using nonlinear analyses, including phase-space reconstruction (embedding dimension and time lag) and correlation dimension (CD).
Complexity metrics, specifically the optimal embedding dimension and CD, were significantly elevated during the slippery surface condition, clearly distinguishing between the two task environments (p < 0.001, classification accuracy > 90 %). The greater variability in features observed under the slippery condition suggested broader dynamic adaptations to instability. Additionally, the reduction in CD across repeated trials indicated a moderating effect of prior exposure.
The findings support all three hypotheses, demonstrating the effectiveness of CoP-based nonlinear measures in capturing adaptive postural responses to changing stability demands. This study contributes a novel multi-trial nonlinear analysis approach for evaluating dynamic postural control under environmental challenges.
{"title":"A Complexity-Based analysis of postural stability dynamics during gait on dry and slippery surfaces","authors":"Mahdi Yousefi Azar Khanian , Zahra Sadat Hosseni , S.Mohammadreza Hashemi Gholpayeghani , Mostafa Rostami","doi":"10.1016/j.bbe.2025.11.005","DOIUrl":"10.1016/j.bbe.2025.11.005","url":null,"abstract":"<div><div>Human postural stability represents a complex, nonlinear system influenced by a range of biomechanical and environmental factors. The trajectories of the center of pressure (CoP) serve as key indicators of this system’s underlying dynamics and are increasingly being analyzed using nonlinear methods. However, the impact of surface-induced instability during gait remains underexplored. This study aimed to analyze CoP behavior during gait on stable (dry) and unstable (slippery) surfaces by testing three hypotheses: (1) task-induced instability is associated with an increase in CoP complexity; (2) individual variability amplifies dynamic fluctuations under unstable conditions; and (3) repeated exposure to the task attenuates this complexity. Twenty healthy young males completed each walking task three times. CoP dynamics were quantified using nonlinear analyses, including phase-space reconstruction (embedding dimension and time lag) and correlation dimension (CD).</div><div>Complexity metrics, specifically the optimal embedding dimension and CD, were significantly elevated during the slippery surface condition, clearly distinguishing between the two task environments (p < 0.001, classification accuracy > 90 %). The greater variability in features observed under the slippery condition suggested broader dynamic adaptations to instability. Additionally, the reduction in CD across repeated trials indicated a moderating effect of prior exposure.</div><div>The findings support all three hypotheses, demonstrating the effectiveness of CoP-based nonlinear measures in capturing adaptive postural responses to changing stability demands. This study contributes a novel multi-trial nonlinear analysis approach for evaluating dynamic postural control under environmental challenges.</div></div>","PeriodicalId":55381,"journal":{"name":"Biocybernetics and Biomedical Engineering","volume":"46 1","pages":"Pages 1-8"},"PeriodicalIF":6.6,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145600576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号