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A multimodal machine learning approach to forecast upper limb motor recovery after stroke using kinematic and electromyographic data - A pilot-study. 使用运动学和肌电图数据预测中风后上肢运动恢复的多模态机器学习方法-一项试点研究。
IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2026-01-05 DOI: 10.1186/s12984-025-01796-5
Luigi Privitera, Michael Lassi, Stefania Dalise, Valentina Azzollini, Luca Maggiani, Adrian Guggisberg, Alberto Mazzoni, Carmelo Chisari, Silvestro Micera, Andrea Bandini
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引用次数: 0
Feeling (in)complete: neural correlates of perceived body integrity in individuals with lower limb amputation. 感觉完整:下肢截肢患者感知身体完整性的神经相关。
IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2026-01-05 DOI: 10.1186/s12984-025-01817-3
Robin Bekrater-Bodmann, Michaela Ruttorf

Background: The amputation of a limb constitutes one of the most severe disruptions of body integrity. Nevertheless, many individuals with limb amputation report a restored sense of integrity when wearing a prosthesis. The rubber limb illusion (RLI) has been proposed as an experimental model to study such experiences. In this paradigm, correlated visuo-tactile stimulation of the residual limb and an artificial limb can induce amputated individuals to experience ownership of the latter one which is then perceived as a counterpart of the missing limb. However, due to methodical limitations in previous setups, the neural processes underlying alterations in the sense of body integrity remain insufficiently understood.

Methods: In this cross-sectional study, we developed a novel RLI setup to systematically manipulate the sense of body integrity in a sample of N = 34 individuals with unilateral lower limb amputation. Participants completed six randomized trials across two experiments. In Experiment 1, we varied artificial limb appearance (intact vs. impaired) and visuo-tactile stimulation (synchronous vs. asynchronous) on the residual limb. In Experiment 2, we manipulated artificial limb appearance and induced the RLI on both the residual and the non-amputated limb. Neural activity was assessed using functional magnetic resonance imaging.

Results: Synchronous visuo-tactile stimulation of the residual limb and an intact artificial counterpart induced artificial limb ownership and was associated with improvements in perceived body integrity. Neuroimaging revealed specific activation in the left superior parietal lobule associated with dynamic changes in the sense of body integrity. Neural activity underlying RLI processing did not significantly differ between the residual limb and the non-amputated limb.

Conclusion: Appropriate multimodal sensory stimulation can strengthen the sense of body integrity in most individuals with lower limb amputation. This effect appears to be mediated by the brain's capacity for sensory integration within the body representation network. These insights advance our understanding of prosthesis-related experiences and may inform the development of improved prosthetic devices that employ non-invasive somatosensory feedback, thereby promoting positive rehabilitative outcomes through enhanced prosthesis embodiment.

背景:截肢是对身体完整性最严重的破坏之一。然而,许多截肢患者报告说,在佩戴假肢后,他们的完整感得到了恢复。橡胶肢错觉(RLI)被提出作为研究这种经验的实验模型。在这种模式下,残肢和假肢的相关视觉触觉刺激可以诱导截肢个体体验到后者的所有权,然后将后者视为缺失肢体的对应物。然而,由于先前设置的方法限制,身体完整性感觉改变的神经过程仍然没有得到充分的了解。方法:在这项横断面研究中,我们开发了一种新的RLI设置,系统地操纵N = 34例单侧下肢截肢患者的身体完整性感。参与者在两个实验中完成了六个随机试验。在实验1中,我们改变了假肢外观(完整与受损)和残肢视觉触觉刺激(同步与异步)。在实验2中,我们对假肢外形进行了操纵,并在残肢和未截肢肢上诱导了RLI。使用功能磁共振成像评估神经活动。结果:残肢和完整假肢的同步视觉触觉刺激诱导了假肢的所有权,并与感知身体完整性的改善有关。神经影像学显示,左侧顶叶上小叶的特异性激活与身体完整性感的动态变化有关。残肢和非残肢之间RLI加工的神经活动没有显著差异。结论:适当的多模态感觉刺激能增强大多数下肢截肢患者的身体完整性。这种效应似乎是由大脑在身体表征网络内的感觉整合能力介导的。这些见解促进了我们对假体相关经验的理解,并可能为采用非侵入性体感反馈的改进假体装置的开发提供信息,从而通过增强假体体现促进积极的康复结果。
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引用次数: 0
Exploring gait automaticity and prefrontal brain activity during single and dual-task walking in aging and Parkinson's disease. 探索老年和帕金森病患者单任务和双任务行走时的步态自动性和前额叶脑活动。
IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2026-01-05 DOI: 10.1186/s12984-025-01864-w
Alexander Kvist, Daniel S Peterson, Lucian Bezuidenhout, Hanna Johansson, Franziska Albrecht, Urban Ekman, David Moulaee Conradsson, Erika Franzén

Background: Walking while performing a concurrent cognitive task leads to cognitive-motor interference, resulting in slower and more variable gait. This is particularly the case in Parkinson's disease (PD), where dual-task situations exacerbate walking impairments, increasing fall risk and reducing quality of life. Cognitive-motor impairment has been linked to excessive attentional demands due to reduced locomotor automaticity. Neuroimaging studies suggest over-reliance on prefrontal resources potentially reflecting compensatory mechanisms. However, few studies link automaticity, performance, and cognitive capacity to prefrontal activity, particularly in PD. In older adults (OA) and people with PD, this study aims to: (1) describe dual-task effects and prefrontal cortical activity during walking with and without a dual-task, (2) determine the connection between prefrontal cortical activity and step time variability as a measure of gait automaticity, (3) explore associations between prefrontal cortical activity and other measures of gait automaticity and prioritization and (4) investigate executive function as a potential moderator in the compensatory relationship.

Methods: Data from 44 OA and 37 people with PD walking with and without an auditory Stroop task were analyzed. Gait variables were measured using inertial measurement units, and prefrontal activity was assessed with functional near-infrared spectroscopy (fNIRS). Executive function was determined with a trail making test. Data analysis involved linear regression models to explore relationships between prefrontal activity, gait automaticity, and executive function.

Results: Most participants had a cognitive priority trade-off when dual-tasking, and the OA group had more prefrontal activity compared to the PD group during single-task and dual-task walking. For PD there was a significant positive relationship between step time variability and prefrontal activity (β = 0.38, T = 6.26, p < 0.01), while OA had a relationship between age and prefrontal activity (β = 0.53, T = 2.33, p = 0.04). Secondary analyses showed relationships between prefrontal activity and dual-task cost of gait speed (β = 0.25, T = 2.90, p = 0.02) and Stroop response time (β = 0.27, T = 3.10, p = 0.01) in PD, but not in OA. No moderation effects were detected in the relationship between gait automaticity and prefrontal activity.

Conclusions: In PD, loss of gait automaticity is linked to increased prefrontal activity, suggesting compensatory mechanisms. In OA, prefrontal activity during walking seems to be primarily age-related.

背景:在同时进行认知任务时行走会导致认知运动干扰,导致步态变慢和更多变。在帕金森病(PD)中尤其如此,双重任务情况加剧了行走障碍,增加了跌倒风险并降低了生活质量。认知运动障碍与由于运动自动性降低而引起的过度注意力需求有关。神经影像学研究表明过度依赖前额叶资源可能反映了代偿机制。然而,很少有研究将自动性、表现和认知能力与前额叶活动联系起来,特别是在PD中。在老年人(OA)和PD患者中,本研究旨在:(1)描述双任务效应和双任务行走时前额叶皮质活动;(2)确定作为步态自动性测量指标的前额叶皮质活动与步长变异性之间的联系;(3)探索前额叶皮质活动与步态自动性和优先级的其他测量指标之间的联系;(4)研究执行功能在代偿关系中的潜在调节作用。方法:分析44例OA患者和37例PD患者在有或没有听觉Stroop任务的情况下行走的数据。步态变量采用惯性测量装置测量,前额叶活动采用功能近红外光谱(fNIRS)评估。执行功能用造径试验测定。数据分析采用线性回归模型来探索前额叶活动、步态自动性和执行功能之间的关系。结果:大多数参与者在双任务时存在认知优先权衡,OA组在单任务和双任务行走时比PD组有更多的前额叶活动。对于帕金森病,步长变异性与前额叶活动之间存在显著正相关(β = 0.38, T = 6.26, p)。结论:在帕金森病中,步态自动性的丧失与前额叶活动的增加有关,提示代偿机制。在OA患者中,行走时的前额叶活动似乎主要与年龄有关。
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引用次数: 0
Robotics and artificial intelligence applications in neurorehabilitation: a bibliometric analysis (2003-2025). 机器人和人工智能在神经康复中的应用:文献计量分析(2003-2025)。
IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2026-01-04 DOI: 10.1186/s12984-025-01870-y
Burhan Taşkaya, Cengiz Taşkaya
<p><strong>Background: </strong>Robotic and artificial intelligence (AI)-assisted neurorehabilitation has emerged as a rapidly growing interdisciplinary field, integrating engineering innovations with clinical practice to enhance motor and cognitive recovery in neurological disorders. While research in this domain has expanded substantially over the last two decades, only a few bibliometric studies have examined related topics (e.g., new technologies in neurorehabilitation, rehabilitation robotics after stroke, AI in stroke care), and, to our knowledge, no study has provided a comprehensive bibliometric mapping specifically focused on robotics and artificial intelligence applications in neurorehabilitation. This study aimed to analyse the global trends, influential contributors, thematic evolution, and collaborative networks in robotic and AI-assisted neurorehabilitation.</p><p><strong>Methods: </strong>A bibliometric analysis was conducted using the Web of Science Core Collection. A comprehensive search covering 2003-2025 identified relevant articles using controlled terms for neurorehabilitation, robotics, and AI. Data were exported as plain text files (savedrecs.txt) from the Web of Science Core Collection and processed using the Bibliometrix R package via the Biblioshiny interface. Analyses included annual growth, citation performance, authorship patterns, journal impact, keyword co-occurrence, thematic mapping, and international collaboration networks.</p><p><strong>Results: </strong>A total of 468 articles were retrieved from 191 sources, showing a rapid annual growth rate of 19.57%. The average citation per article was 24.22, with 17,792 references cited overall. Authorship analysis revealed contributions from 1,972 authors, with an average of 5.49 co-authors per paper and 32.05% international collaboration. The Journal of NeuroEngineering and Rehabilitation (h-index = 15, 1,740 citations) and Sensors (m-index = 1.714) were identified as the leading journals. The most prolific authors included Aiguo Song (8 publications) and Robert Riener (6 publications), while Marchal-Crespo L. and Reinkensmeyer D.J. were the most locally cited. Keyword analysis highlighted "stroke" (n = 93), "rehabilitation" (n = 82), "design" (n = 58), "recovery" (n = 53), and "exoskeleton" (n = 49) as dominant themes, with stroke rehabilitation and robotic exoskeletons representing core research foci. China (n = 697) and the USA (n = 251) emerged as the most productive countries, with strong collaborative ties.</p><p><strong>Conclusion: </strong>Robotic and AI-assisted neurorehabilitation has demonstrated exponential growth, reflecting both technological innovation and clinical translation. Stroke rehabilitation and gait training remain central themes, while emerging areas such as AI-based assessment systems, wearable sensors, and tele-rehabilitation suggest future directions. To our knowledge, this study provides a comprehensive bibliometric overview specifically cen
背景:机器人和人工智能(AI)辅助神经康复已成为一个快速发展的跨学科领域,将工程创新与临床实践相结合,以增强神经系统疾病的运动和认知恢复。虽然这一领域的研究在过去二十年中得到了实质性的扩展,但只有少数文献计量学研究考察了相关主题(例如,神经康复的新技术,中风后的康复机器人,中风护理中的人工智能),而且,据我们所知,没有研究提供专门针对机器人和人工智能在神经康复中的应用的全面文献计量学映射。本研究旨在分析机器人和人工智能辅助神经康复的全球趋势、有影响力的贡献者、主题演变和协作网络。方法:采用Web of Science核心馆藏进行文献计量学分析。对2003-2025年的全面搜索确定了使用神经康复、机器人和人工智能控制术语的相关文章。数据从Web of Science Core Collection导出为纯文本文件(savedrecs.txt),并通过Biblioshiny接口使用Bibliometrix R包进行处理。分析包括年度增长、引文表现、作者模式、期刊影响、关键词共现、主题映射和国际合作网络。结果:共检索到191篇文献468篇,年增长率为19.57%。平均每篇被引24.22次,总引用17792篇。作者分析显示,共有1972位作者贡献了论文,平均每篇论文有5.49位共同作者,其中32.05%是国际合作。Journal of NeuroEngineering and Rehabilitation (h-index = 15,被引用1740次)和Sensors (m-index = 1.714)被确定为领先期刊。最多产的作者包括宋爱国(8篇)和Robert Riener(6篇),而Marchal-Crespo L.和Reinkensmeyer D.J.是当地被引用最多的作者。关键词分析显示,“中风”(n = 93)、“康复”(n = 82)、“设计”(n = 58)、“康复”(n = 53)和“外骨骼”(n = 49)是主导主题,其中中风康复和机器人外骨骼是核心研究重点。中国(n = 697)和美国(n = 251)成为生产率最高的国家,它们之间有着紧密的合作关系。结论:机器人和人工智能辅助神经康复呈现指数级增长,反映了技术创新和临床转化。中风康复和步态训练仍然是中心主题,而基于人工智能的评估系统、可穿戴传感器和远程康复等新兴领域则表明了未来的发展方向。据我们所知,这项研究提供了一个全面的文献计量学概述,特别是以机器人和人工智能在神经康复中的应用为中心,为指导未来的研究和临床整合提供了战略见解。
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引用次数: 0
Personalized high-intensity temporal interference stimulation decouples cerebellar networks to enhance implicit learning. 个性化的高强度时间干扰刺激解耦小脑网络以增强内隐学习。
IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2026-01-02 DOI: 10.1186/s12984-025-01865-9
Dongsheng Tang, Lang Qin, Longfei Hu, Yixuan Jian, Siqi Gao, Zhenhe Huang, Liangling Cai, Xueyun Shao, Chunqi Chang, Gang Zhao, Zhiqiang Zhu
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引用次数: 0
Effect of EMG-activated vibrotactile biofeedback on skill learning in children with genetic and acquired dystonia during point-to-point and cyclic task practice. 肌电激活振动触觉生物反馈对遗传性和后天性肌张力障碍儿童在点对点和循环任务练习中技能学习的影响。
IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-12-31 DOI: 10.1186/s12984-025-01848-w
Maral Kasiri, Emilia Ambrosini, Emilia Biffi, Shinichi Amano, Alessandra Pedrocchi, Nardo Nardocci, Elena Beretta, Giovanna Zorzi, Terence D Sanger
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引用次数: 0
Robust neural network controller for a lower limb exoskeleton with minimal sensor configuration: a deep reinforcement learning approach with policy distillation. 具有最小传感器配置的下肢外骨骼鲁棒神经网络控制器:一种带有策略蒸馏的深度强化学习方法。
IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-12-31 DOI: 10.1186/s12984-025-01854-y
Shuzhen Luo, Ke Feng, Ghaith Androwis, Sergei Adamovich, Erick Nunez, Hao Su, Xianlian Zhou
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引用次数: 0
Effectiveness of transcutaneous spinal cord stimulation for lower limb rehabilitation in spinal cord injury: a systematic review. 经皮脊髓刺激对脊髓损伤下肢康复的有效性:系统综述。
IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-12-30 DOI: 10.1186/s12984-025-01775-w
Ravi Shankar, Kevin Sim Wei Wen, Ziyu Goh, Brandon Tan, Gobinathan Chandran

Background: Spinal cord injury (SCI) results in devastating motor and sensory deficits below the level of injury. Transcutaneous spinal cord stimulation (tSCS) has emerged as a promising non-invasive neuromodulation technique for improving motor function in individuals with SCI. However, the effectiveness of tSCS for lower limb rehabilitation remains unclear.

Objective: To systematically review the effectiveness of tSCS for improving lower limb motor function, walking ability, spasticity, and functional independence in individuals with SCI.

Methods: We conducted a comprehensive search of PubMed, Web of Science, Embase, Scopus, CINAHL, MEDLINE, Cochrane Library, and Physiotherapy Evidence Database (PEDro) from inception to March 2025. We included randomized controlled trials (RCTs), non-randomized studies, and case series examining tSCS for lower limb rehabilitation in adults with SCI. Two reviewers independently screened studies, extracted data, and assessed risk of bias using appropriate tools (Cochrane RoB 2, ROBINS-I, JBI Critical Appraisal Checklist). We used GRADE to assess certainty of evidence.

Results: From 2042 identified records, 14 studies (n = 183 participants) met inclusion criteria, including 5 RCTs, 4 non-randomized studies, and 5 case series. Due to substantial clinical and methodological heterogeneity, we conducted a narrative synthesis. The single high-quality RCT (Comino-Suárez 2025) showed significant improvements in Lower Extremity Motor Score (LEMS) at follow-up (MD: 3.37, 95% CI: 0.29-6.46) and 10-meter walk test (10MWT) speed (MD: - 37.51 s, 95% CI: - 72.78 to - 2.23), but no significant effects on 6-minute walk test (6MWT) or spasticity. Most studies reported only mild adverse events (skin irritation, tingling). The certainty of evidence was very low for clinical outcomes and moderate for safety.

Conclusions: Current evidence suggests tSCS may improve lower limb motor function and walking speed in SCI, with a favorable safety profile. However, the evidence base has significant limitations including small sample sizes, heterogeneous protocols, and methodological concerns. Well-designed, adequately powered RCTs with standardized protocols are urgently needed.

背景:脊髓损伤(SCI)导致严重的运动和感觉缺陷,低于损伤水平。经皮脊髓刺激(tSCS)已成为一种有前途的非侵入性神经调节技术,可改善脊髓损伤患者的运动功能。然而,tSCS在下肢康复中的有效性尚不清楚。目的:系统回顾tSCS在改善脊髓损伤患者下肢运动功能、行走能力、痉挛和功能独立性方面的有效性。方法:综合检索PubMed、Web of Science、Embase、Scopus、CINAHL、MEDLINE、Cochrane Library和物理治疗证据数据库(PEDro),检索时间自成立至2025年3月。我们纳入了随机对照试验(rct)、非随机研究和病例系列,研究了脊髓损伤成人下肢康复的tSCS。两位审稿人独立筛选研究,提取数据,并使用适当的工具评估偏倚风险(Cochrane RoB 2, ROBINS-I, JBI Critical Appraisal Checklist)。我们使用GRADE来评估证据的确定性。结果:在2042份已确认的记录中,14项研究(n = 183名受试者)符合纳入标准,包括5项随机对照试验、4项非随机研究和5个病例系列。由于临床和方法的异质性,我们进行了叙事综合。单项高质量RCT (Comino-Suárez 2025)显示,随访时下肢运动评分(LEMS) (MD: 3.37, 95% CI: 0.29-6.46)和10米步行测试(10MWT)速度(MD: - 37.51 s, 95% CI: - 72.78至- 2.23)显著改善,但对6分钟步行测试(6MWT)或痉挛无显著影响。大多数研究报告只有轻微的不良反应(皮肤刺激,刺痛)。临床结果的证据确定性非常低,安全性中等。结论:目前的证据表明,tSCS可以改善脊髓损伤患者的下肢运动功能和步行速度,并具有良好的安全性。然而,证据基础有明显的局限性,包括样本量小、异构协议和方法问题。迫切需要设计良好、动力充足的随机对照试验和标准化方案。
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引用次数: 0
Temporal interference stimulation of peripheral nerves induces functionally diverse limb movements revealed by automated pose estimation and unsupervised behavioral analysis. 通过自动姿态估计和无监督行为分析显示,时间干扰外周神经刺激可诱导不同功能的肢体运动。
IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-12-29 DOI: 10.1186/s12984-025-01825-3
Joshua Philippe Olorocisimo, Sudip Nag, Hengjia Zhang, Songyu Yang, Matvii Prytula, Serena Liu, Mustafa Kanchwala, Yinghe Sun, Jose Zariffa, Roman Genov
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引用次数: 0
Evaluation of a control paradigm allowing heart rate guided rehabilitative exercise for boys with Duchenne muscular dystrophy. 对杜氏肌营养不良男孩进行心率引导康复训练的对照模式评价。
IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-12-29 DOI: 10.1186/s12984-025-01809-3
Kimberly Stubbs, Meghana Bomma, Donovan J Lott, Emily Griffis, Hannah M Sweatland, Wanjiku A Makumi, John-Anthony Coppola, Renata Shih, H L Sweeney, Warren Dixon, Tanja Taivassalo

Background: Aerobic cycle-training counters deconditioning and induces muscle and cardiorespiratory benefits in various neuromuscular disorders. However, its application to Duchenne muscular dystrophy (DMD) is limited due to lack of exercise prescription guidelines, particularly for intensity. A balance between beneficial versus harmful effects of muscle activity must be established given the weakness and concerns of contraction-induced damage inherent to DMD. Previous studies in DMD used motor-assisted cycling applying subjective ratings of perceived exertion to guide exercise intensity, whereas objective parameters such as heart rate (HR) or work performed were not reported. In efforts to develop exercise guidelines for DMD, we designed a motor-assisted cycle-exercise paradigm using closed-loop control of motor effort and individualization of intensity based on HR. Feasibility of this paradigm in DMD was tested in the home setting with remote clinical supervision.

Methods: A closed-loop controller was developed with user-defined saturation points for cadence and baseline motor inputs to ensure safety of cycling and adjustments in level of muscle overload (assistive current). The controller allowed remote, interactive adjustment of current based on HR biofeedback, providing cycling assistance when velocity approached a lower-bound and resistance when the upper-bound was approached. A target intensity of 40-50% HR reserve was individualized for each participant and motor effort was adjusted accordingly by the clinician. Force-sensors were embedded in the pedals for quantification of passive and active power.

Results: Six ambulatory boys with DMD (aged 7.7 ± 0.9 years) completed at least two bouts of cycling exercise (3-10 min per bout) with an average 0.53 ± 0.15 amps assistive current (range 0.3-0.8 amps). HR increased from rest during passive and active cycling (mean 109.2 ± 6.1; 119.2 ± 8.5; 149.7 ± 4.6 bpm respectively), where boys were actively exercising at 45% of HR reserve at an average cycling power of 5.7 ± 1.3 watts (ranging 3-8 watts depending on disease severity).

Conclusion: These results show for the first time that boys with DMD can cycle actively to generate power and raise HR to a prescribed intensity, supporting feasibility of this home-based, remotely-supervised control paradigm. They warrant future study to establish clinical exercise prescription parameters and the potential of aerobic cycling as a rehabilitative strategy in DMD.

背景:有氧循环训练对抗各种神经肌肉疾病的去调节和诱导肌肉和心肺的益处。然而,由于缺乏运动处方指南,特别是强度指南,其在杜氏肌营养不良症(DMD)中的应用受到限制。鉴于DMD固有的弱点和对收缩性损伤的担忧,必须在肌肉活动的有益和有害影响之间建立平衡。先前的DMD研究使用运动辅助骑自行车,应用感知运动的主观评分来指导运动强度,而诸如心率(HR)或完成的工作等客观参数未被报道。为了制定DMD的运动指南,我们设计了一种运动辅助循环运动模式,使用运动力量的闭环控制和基于HR的强度个性化。在远程临床监督的家庭环境中测试了这种模式在DMD中的可行性。方法:开发了一个闭环控制器,该控制器具有自定义的节奏和基线电机输入饱和点,以确保循环和调节肌肉过载水平(辅助电流)的安全性。控制器允许基于HR生物反馈的远程交互式调节电流,当速度接近下限时提供循环辅助,当速度接近上限时提供阻力。每个参与者的目标强度为40-50% HR储备,并由临床医生相应地调整运动强度。力传感器嵌入踏板,用于量化无源和有源功率。结果:6例动态DMD男孩(年龄7.7±0.9岁)在平均0.53±0.15安培的辅助电流(0.3-0.8安培)下完成了至少2次骑行运动(每次3-10分钟)。在被动和主动骑车期间,心率增加(平均109.2±6.1;119.2±8.5;149.7±4.6 bpm),其中男孩在平均骑车功率为5.7±1.3瓦(根据疾病严重程度,范围为3-8瓦)时,以45%的心率储备积极锻炼。结论:这些结果首次表明DMD男孩能够主动循环产生动力并将HR提高到规定的强度,支持这种基于家庭的远程监督控制模式的可行性。它们保证了未来的研究,以建立临床运动处方参数和有氧循环作为DMD康复策略的潜力。
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引用次数: 0
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Journal of NeuroEngineering and Rehabilitation
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