Ming Wu, Yiqing Zeng, JianGang Chen, Zhen Yang, Siyuan Song, Rongkai Yan, Taofik Al Hassan, Yan Zhang
{"title":"Ferrocene-Modified Nanoscale Covalent Organic Frameworks for Ferroptosis-Based Sonodynamic Therapy Inhibit Breast Cancer and Its Bone Metastasis.","authors":"Ming Wu, Yiqing Zeng, JianGang Chen, Zhen Yang, Siyuan Song, Rongkai Yan, Taofik Al Hassan, Yan Zhang","doi":"10.34133/cbsystems.0490","DOIUrl":"10.34133/cbsystems.0490","url":null,"abstract":"<p><p>Breast cancer continues to be a marked risk to women's health worldwide. In particular, bone metastasis stands as one of the leading causes of death among breast cancer patients. In recent years, therapies that reprogram the tumor's immunosuppressive microenvironment have emerged as promising antimetastatic strategies. In this study, we developed a sonodynamic nanoplatform that simultaneously eradicates primary breast tumors via ferroptosis and apoptosis and blocks their spread to bone tissues. Ferrocene-grafted nanoconfined covalent organic frameworks (mCOFs) were synthesized by condensing aminoferrocene with micrometer-sized COFs, yielding a multifunctional agent capable of amplifying reactive oxygen species (ROS) production. Following ultrasound treatment, the mCOFs generated abundant ROS, while the ferrocene moieties catalyzed the Fenton-like conversion of endogenous H<sub>2</sub>O<sub>2</sub> into cytotoxic •OH radicals. In vitro, ultrasound-activated mCOFs concurrently induced apoptosis and ferroptosis in breast cancer cells and triggered the robust release of immunogenic factors. In orthotopic mouse models, intravenously administered mCOFs preferentially accumulated in tumors; upon ultrasound exposure, these mCOFs markedly inhibited the growth of primary tumors, reprogrammed the immunosuppressive tumor microenvironment, and effectively reduced bone metastasis. This study proposes a versatile nanomedicine-based strategy that integrates sonodynamic therapy with immunomodulation to control breast cancer progression and bone metastasis, offering a broad approach for reducing metastatic disease.</p>","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"7 ","pages":"0490"},"PeriodicalIF":18.1,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13006732/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147517108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hai Nhan Le, Huu Duoc Nguyen, Lachlan Fitzgerald, Peter Ross McAree, Hirotaka Sato, Tat Thang Vo-Doan
{"title":"Bust Stimulation for Sustained Locomotion Control and Autonomous Navigation of Terrestrial Cyborg Beetles.","authors":"Hai Nhan Le, Huu Duoc Nguyen, Lachlan Fitzgerald, Peter Ross McAree, Hirotaka Sato, Tat Thang Vo-Doan","doi":"10.34133/cbsystems.0537","DOIUrl":"10.34133/cbsystems.0537","url":null,"abstract":"<p><p>Terrestrial cyborg insects have become a leading candidate for insect-scale robots. These biohybrid systems utilize living insects as mobile platforms while controlling their locomotion via electrical stimulation of sensory organs. Despite remarkable advancement in locomotion control, the deployment of these cyborgs is hindered by their deterioration in locomotory responses to electrical stimulation, which typically involves prolonged, continuous stimuli. This study proposes burst stimulation as an alternative to the conventional stimulation protocol to achieve more sustained responses of cyborg insects from darkling beetles (<i>Zophobas morio</i>). Implementing burst stimulation enhances the sustainability of beetle's responses, with the deterioration rate of the turning response to antenna stimulation reduced by 30%. The induced turning angle is 52% greater under burst stimulation, further advancing locomotion control. The graded response in turning is conserved when tuning the stimulation frequency from 10 to 40 Hz, promoting the integration of burst stimulation into feedback control systems for autonomous navigation of the cyborg beetle. The cyborg beetles are able to reliably and accurately navigate the defined path, with a 73% success rate and 12-mm tracking error. Furthermore, an in-depth analysis of navigation performance suggests that limiting the number of consecutive unilateral stimulations would enhance the efficiency and reliability of the navigation. This study demonstrates that implementing burst stimulation can effectively reduce habituation, improving the reliability, accuracy, efficiency, and sustainability of the control system for terrestrial cyborg insects, advancing the feasibility for real-world deployment.</p>","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"7 ","pages":"0537"},"PeriodicalIF":18.1,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12968394/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147437609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chenhao Bai, Zhuo Chen, Yunsheng Li, Yan Chen, Qing Shi, Qiang Huang, Toshio Fukuda, Tatsuo Arai, Xiaoming Liu
{"title":"Acoustic Rising Microbubbles for Efficient Liquid Operations.","authors":"Chenhao Bai, Zhuo Chen, Yunsheng Li, Yan Chen, Qing Shi, Qiang Huang, Toshio Fukuda, Tatsuo Arai, Xiaoming Liu","doi":"10.34133/cbsystems.0449","DOIUrl":"10.34133/cbsystems.0449","url":null,"abstract":"<p><p>Efficient liquid manipulation is crucial in chemical engineering, biological research, clinical applications, and materials science. Bubbles, such as boiling, rising, and cavitating bubbles, have been widely employed to enhance mixing and mass transfer through their unique hydrodynamic behaviors. Yet, conventional bubble-based approaches often face limited scalability and poor performance in high-viscosity environments. Here, we introduce a strategy that employs low-energy acoustic excitation of rising microbubbles to achieve scalable and efficient mass transfer across macroscale and microscale domains. By coupling buoyancy-driven convection with localized acoustic microstreaming, acoustic rising microbubbles simultaneously extend the operational workspace and intensify local mass transfer. Particle image velocimetry and computational fluid dynamics analyses characterize the distinct contributions of buoyancy-induced flows, acoustically induced microstreaming, and their superimposed effects. Various chemical and biomedical applications, including efficient high-viscosity mixing, accelerated chemical material synthesis, altered cell membrane permeability, promoted cell lysis, and thrombus clearance, demonstrate the great potential of the proposed acoustic rising bubbles for efficient mass transfer in laboratory and industrial liquid manipulations.</p>","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"7 ","pages":"0449"},"PeriodicalIF":18.1,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12968397/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147437243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Magnetic Tensegrity-Enabled Robotic Gripper with Adaptive Energy Barrier for UAV Perching.","authors":"Lulu Han, Hao Yang, Luobin Wang, Yuquan Zheng, Jingrui Yang, Yuxuan Fu, Jieliang Zhao, Zhong Wan, Zhigang Wu, Jie Zhang, Jianing Wu","doi":"10.34133/cbsystems.0535","DOIUrl":"10.34133/cbsystems.0535","url":null,"abstract":"<p><p>Equipping unmanned aerial vehicles (UAVs) with bistable robotic grippers allows them to perch on natural and artificial structures, extending mission duration by minimizing energy consumption during stationary operations. However, achieving both compliant triggering and powerful grasping remains a important challenge, particularly in the absence of active actuators. In this work, we present a magnetic tensegrity-enabled robotic gripper (MTRG) with an adaptive energy barrier by leveraging nonlinear interaction forces between magnets. This physical intelligence enables our MTRG to merge both sensitivity and strength, showcasing a failure-to-triggering force ratio exceeding 2 orders of magnitude, which allows for customized responses to varying interaction requirements. This capability involves gentle triggering and robust grasping, analogous to the behavior exhibited by bats. To enable repeated operation, an integrated inflatable airbag is used to reset the bistable system, allowing for multiple grasping behaviors without manual intervention. When integrated into UAVs, MTRGs showcase reliable perching abilities across diverse scenarios, highlighting the potential of passive mechanisms for enhancing the adaptability of energy barriers to achieve long-duration and high-altitude operations.</p>","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"7 ","pages":"0535"},"PeriodicalIF":18.1,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12968396/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147437574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongbin Han, Hui Dai, Leonor Serrano Lopes, Ruiqing Ni, Benjamin F Combes, Yangjing Song, Hanbo Tan, Meng Xu, Hongfeng Li, Shuhong Lv, Zhaohe Yang, Tianzi Gao, Mengyu Zhang, Yang Shi, Jingjing Shao, Yanni Zhang, Wanyi Fu
{"title":"Brain Extracellular Space: From an Overlooked Dimension to Catalyst of a Novel Neuroscience Paradigm.","authors":"Hongbin Han, Hui Dai, Leonor Serrano Lopes, Ruiqing Ni, Benjamin F Combes, Yangjing Song, Hanbo Tan, Meng Xu, Hongfeng Li, Shuhong Lv, Zhaohe Yang, Tianzi Gao, Mengyu Zhang, Yang Shi, Jingjing Shao, Yanni Zhang, Wanyi Fu","doi":"10.34133/cbsystems.0529","DOIUrl":"10.34133/cbsystems.0529","url":null,"abstract":"<p><p>Despite huge investment, therapies for brain disorders remain largely ineffective in clinical practice. Accumulating evidence indicates that this low translational success is closely linked to the long-standing overlook of the brain extracellular space (ECS) in preclinical research, clinical practice, and regulatory frameworks. After over 4 decades of scientific exploration, particularly with recent breakthroughs in imaging and quantitative measurement methods, it is timely to integrate the ECS into the current neuroscience framework. This paper investigates underlying determinants of low translational success of central nervous system drugs and therapeutic devices, reviews the historical and technical bottlenecks that lead to the neglect of ECS research, and emphasizes its transformative potential in reshaping therapeutic strategies. We propose incorporating the ECS into neuroscience research, clinical regulatory assessment, and medical education, thereby establishing a comprehensive paradigm that omits no physical space for precision therapeutics targeting brain disorders.</p>","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"7 ","pages":"0529"},"PeriodicalIF":18.1,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12957555/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147367460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Songtao An, Jiamin Yuan, Yang Pan, Miaoqing Ye, Zhenghan Chen, Minying Li, Panyue Yan, Jiali Yao, Yujie Guan, Yan Lin, Wenjuan Wang, Haliminai Dilimulati, Yuanyin Teng, Keyu Dai, Yuqi Bai, Junbo Ge, Dong Deng
{"title":"Bionic Wearable ECG with Multimodal Large Language Models: Coherent Temporal Modeling for Early Ischemia Warning and Reperfusion Risk Stratification.","authors":"Songtao An, Jiamin Yuan, Yang Pan, Miaoqing Ye, Zhenghan Chen, Minying Li, Panyue Yan, Jiali Yao, Yujie Guan, Yan Lin, Wenjuan Wang, Haliminai Dilimulati, Yuanyin Teng, Keyu Dai, Yuqi Bai, Junbo Ge, Dong Deng","doi":"10.34133/cbsystems.0501","DOIUrl":"10.34133/cbsystems.0501","url":null,"abstract":"<p><p>Myocardial ischemia remains one of the principal causes of mortality and morbidity worldwide, necessitating novel approaches to facilitate early diagnosis and subsequent risk evaluation following reperfusion. Although advancements in wearables capable of ECG (electrocardiogram) monitoring have been initiated, these devices have encountered barriers due to limited capacities to encapsulate the temporally complex nature of ischemic events, notably in risk stratifying reperfusion injury. In this paper, we describe a framework that leverages bionic, wearable ECG sensor technologies along with multimodal large language models using a coherent temporal modeling effort to address the intertwining of fine-grained temporal dependencies, heterogeneous biomedical modalities, and interpretable risk stratification. Our temporally hierarchical fusion transformer utilizes a cross-granularity attention mechanism to model intrabeat, interbeat, and long-term dependencies all simultaneously. The validation of our system was carried out using 4 datasets across <i>n</i> = 108,778 patients, 17,173 of whom were ischemia-positive cases (4,627 from PTB-XL, 5,243 from MIMIC-IV, 6,891 from CODE-15%, and 412 in the wearable cohort). The area under receiver operating characteristic curve (AUROC) for the model for ischemia was 0.947, and the C-index for post-reperfusion risk stratification was 0.923, with a relative AUROC improvement of 4.8% to 9.5% over the best baseline in each dataset. Importantly, we achieved an average lead time of 18.4 min prior to the ischemic event to allow the clinician to enact interventions. Ultimately, this research demonstrates a prototype of an intelligent cardiovascular care monitoring system that couples advanced sensing with clinical decision support.</p>","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"7 ","pages":"0501"},"PeriodicalIF":18.1,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13183261/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147977630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xuyang Zhang, Jiaqi Jiang, Zhuo Chen, Yongqiang Zhao, Tianqi Yang, Daniel Fernandes Gomes, Jianan Wang, Shan Luo
{"title":"SimTac: A Physics-Based Simulator for Vision-Based Tactile Sensing with Biomorphic Structures.","authors":"Xuyang Zhang, Jiaqi Jiang, Zhuo Chen, Yongqiang Zhao, Tianqi Yang, Daniel Fernandes Gomes, Jianan Wang, Shan Luo","doi":"10.34133/cbsystems.0510","DOIUrl":"10.34133/cbsystems.0510","url":null,"abstract":"<p><p>Tactile sensing in biological organisms is deeply intertwined with morphological form, such as human fingers, cat paws, and elephant trunks, which enables rich and adaptive interactions through a variety of geometrically complex structures. In contrast, vision-based tactile sensors in robotics have been limited to simple planar geometries, with biomorphic designs remaining underexplored. To address this gap, we present SimTac, a physics-based simulation framework for the design and validation of biomorphic tactile sensors. SimTac consists of particle-based deformation modeling, light-field rendering for photorealistic tactile image generation, and a neural network for predicting mechanical responses, enabling accurate and efficient simulation across a wide range of geometries and materials. We demonstrate the versatility of SimTac by designing and validating physical sensor prototypes inspired by biological tactile structures and further demonstrate its effectiveness across multiple Sim2Real tactile tasks, including object classification, slip detection, and contact safety assessment. Our framework bridges the gap between bioinspired design and practical realization, expanding the design space of tactile sensors and paving the way for tactile sensing systems that integrate morphology and sensing to enable robust interaction in unstructured environments.</p>","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"7 ","pages":"0510"},"PeriodicalIF":18.1,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12929814/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147291161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jing Jin, Junxian Li, Xiaochuan Pan, Ren Xu, Andrzej Cichocki, Wenli Du, Feng Qian
{"title":"A Domain Generalization Method for EEG Based on Domain-Invariant Feature and Data Augmentation.","authors":"Jing Jin, Junxian Li, Xiaochuan Pan, Ren Xu, Andrzej Cichocki, Wenli Du, Feng Qian","doi":"10.34133/cbsystems.0508","DOIUrl":"10.34133/cbsystems.0508","url":null,"abstract":"<p><p>Brain-computer interface (BCI) technology, which controls external devices by directly decoding brain activities, has made important progress and practical applications in recent years in many fields. However, the domain bias issue in cross-domain applications remains a significant challenge in the practical implementation of BCI technology. This is particularly acute in scenarios where target data are unavailable, largely because of the noise sensitivity and acquisition limitations inherent in electroencephalography (EEG) signal data. When processing nonstationary EEG signals, existing domain generalization methods face limitations: Adversarial training may compromise model stability, while global feature alignment approaches struggle to sufficiently decouple category-dependent and category-independent features, thereby constraining generalization performance. Therefore, in this paper, we propose a hybrid approach based on domain-invariant feature learning and data enhancement. We introduce a \"fixed\" structure enhancement method that combines domain-invariant feature learning with data enhancement strategies, decouples domain-invariant features from other features, optimizes cross-domain feature extraction, and reduces the effect of noise in data. Through extensive experimental validation on multiple publicly available datasets, the model proposed in this paper outperforms the existing state-of-the-art methods, providing a novel and effective solution to the domain bias problem in BCI.</p>","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"7 ","pages":"0508"},"PeriodicalIF":18.1,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12929810/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147292124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lei Li, Wenzhuo Gao, Boyang Qin, Yiyuan Zhang, Changhong Linghu, Bo Wang, Yitian Ma, Shihan Kong, Junzhi Yu
{"title":"Lamprey-Inspired Amphibious Suction Disc with Hybrid Adhesion Mechanism.","authors":"Lei Li, Wenzhuo Gao, Boyang Qin, Yiyuan Zhang, Changhong Linghu, Bo Wang, Yitian Ma, Shihan Kong, Junzhi Yu","doi":"10.34133/cbsystems.0527","DOIUrl":"10.34133/cbsystems.0527","url":null,"abstract":"<p><p>Bioinspired adhesives mimicking octopuses, tree frogs, and geckos enable robots to grip and manipulate diverse surfaces. However, most existing systems use a single adhesion mechanism, limiting adaptability and hindering strong, reversible attachment across diverse surface conditions and environmental media. Here, inspired by the oral sucker of the lamprey (<i>Lethenteron reissneri</i>), we present a hybrid suction disc that integrates a thermally switchable shape-memory polymer (SMP) panel for surface conformity and a soft silicone lip for vacuum suction. When heated, the SMP softens to conform to surface irregularities; subsequent cooling restiffens it, enabling mechanical interlocking with surface asperities under vacuum. This synergistic design achieves robust, reversible, and cross-medium adhesion on challenging surfaces, both in air and underwater. The disc generated peak pull-off forces of 562 N in air and 590 N underwater on smooth substrates, over 850 times its own weight, and maintained strong adhesion even on rough surfaces (>707 μm) where conventional suction fails. Incorporating the SMP improved adhesion by 377% in air and 270% underwater compared to vacuum alone. Shear friction tests showed similar enhancements, and attachments remained secure for 26.8 h under load. The hybrid disc also enabled robotic demonstrations of gripping and cross-medium manipulation when mounted on a mechanical arm, highlighting its potential for real-world robotic applications. This work paves the way for developing multimodal adhesion systems and amphibious robots capable of adaptive gripping and reliable operation across diverse environments.</p>","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"7 ","pages":"0527"},"PeriodicalIF":18.1,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12929816/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147291112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Legeng Lin, Yanhuan Huang, Wanyi Qing, Man-Ting Kuet, Hengtian Zhao, Fuqiang Ye, Wei Rong, Waiming Li, Xiaoling Hu
{"title":"Sensorimotor Integration by Targeted Priming in Muscles with Electromyography-Driven Electro-vibro-feedback in Robot-Assisted Wrist/Hand Rehabilitation after Stroke.","authors":"Legeng Lin, Yanhuan Huang, Wanyi Qing, Man-Ting Kuet, Hengtian Zhao, Fuqiang Ye, Wei Rong, Waiming Li, Xiaoling Hu","doi":"10.34133/cbsystems.0507","DOIUrl":"https://doi.org/10.34133/cbsystems.0507","url":null,"abstract":"<p><p>Restoring precise muscular control in the poststroke wrist/hand (W/H) demands sensorimotor integration to correct compensatory neuroplasticity. However, current rehabilitation robots inadequately modulate ascending somatosensory pathways from specific muscles. This study developed an electromyography (EMG)-driven soft robot with electro-vibro-feedback (EVF-robot) for targeted somatosensory priming in W/H muscles. This system integrates (a) focal vibratory stimulation and neuromuscular electrical stimulation for recruiting the somatosensory pathways of the targeted W/H flexors and extensors; (b) an EMG-driven control algorithm for strengthening the voluntary motor control of a driving muscle; and (c) robot assistance to achieve coordinated joint extension and flexion. In a single-arm trial with 20 sessions, 15 chronic stroke participants assisted by the system achieved significant improvements in voluntary W/H behavioral control, somatosensory feedback, and intermuscular coordination in the paretic upper limb (<i>P</i> < 0.05). During their W/H extension, the cortical peaks of corticomuscular coherence shifted contralaterally for W/H extensors, and the ascending corticomuscular coherence from W/H flexors increased (<i>P</i> < 0.05). These improvements persisted at the 3-month follow-up. The findings provide preliminary evidence that sensorimotor integration training with the EMG-driven EVF-robot may modulate compensatory neuroplasticity and facilitate improvements in coordinated motor control of the distal joints in individuals with chronic stroke.</p>","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"7 ","pages":"0507"},"PeriodicalIF":18.1,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12835495/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}