Automated and Adaptive Lower Extremity Neuro-Rehabilitation for Stroke

中风的自动化和适应性下肢神经康复

• 批准号: 8264202
• 负责人: Iahn Cajigas González
• 金额: $ 4.31万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8264202
• 关键词: Address; Adopted; Adult; Affect; Algorithms; American; Anatomy; Animals; Clinic; Clinical; Clinical assessments; Collaborations; Country; Data; Development; Devices; Dimensions; Disabled Persons; Electric Stimulation; Engineering; Evolution; Exercise; Gait; Goals; Health; Hospitals; Individual; Intervention; Joints; Knowledge; Learning; Leg; Length; Literature; Lower Extremity; Measurement; Measures; Meta-Analysis; Methodology; Methods; Motor; Motor Skills; Motor output; Movement; Muscle; Musculoskeletal Equilibrium; Nervous system structure; Neurorehabilitation; Nutritionist; Occupational Therapy; Orthopedics; Orthotic Devices; Output; Patients; Performance; Physical therapy; Physicians; Placebos; Process; Productivity; Protocols documentation; Psychologist; Quality of life; Recovery; Recovery of Function; Regimen; Rehabilitation device; Rehabilitation therapy; Relative (related person); Reporting; Research; Resource Allocation; Robotics; Speech Therapy; Speed; Stratification; Stroke; Structure; Survivors; Switzerland; System; Techniques; Technology; Time; Training; Treatment Efficacy; Upper Extremity; Work; arm; base; comparative efficacy; computerized data processing; cost; design; disability; functional improvement; functional restoration; functional status; improved; improved functioning; indexing; motor deficit; motor learning; motor skill learning; muscular structure; novel; orthotics; programs; rehabilitation strategy; relating to nervous system; skills; sound; theories

DESCRIPTION (provided by applicant): Through our research we aim to develop quantitative methods for the assessment of motor learning in stroke survivors using the lower extremity rehabilitation Lokomat platform (Hocoma AG, Switzerland). Accurate understanding of how the structure of a rehabilitation program affects the long-term retention of motor skills is essential for establishing the efficacy of therapeutic approaches and for comparing efficacy across strategies. Current methods are also very laborious for rehabilitation workers and in some situations strain on the therapist can be the limiting factor on the length of a session or on the number of activities conducted per session. By applying advanced engineering techniques from the fields of control theory and signal processing, we hope to develop automated and adaptive strategies for devices like the Lokomat platform that allow rehabilitation workers to provide their skills while removing much of the strain. These strategies may result in increased speed of recovery by providing patients with tasks dictated by their individual baseline and rate of improvement without the need for therapist intervention.

描述（由申请人提供）：通过我们的研究，我们的目标是使用下肢康复Lokomat平台（Hocoma AG，瑞士）开发评估卒中幸存者运动学习的定量方法。准确理解康复计划的结构如何影响运动技能的长期保持，对于确定治疗方法的有效性和比较不同策略的有效性至关重要。目前的方法对于康复工作者来说也是非常费力的，并且在某些情况下，治疗师的压力可能是疗程长度或每次疗程进行的活动数量的限制因素。通过应用控制理论和信号处理领域的先进工程技术，我们希望为Lokomat平台等设备开发自动化和自适应策略，使康复工作者能够提供技能，同时消除大部分压力。这些策略可以通过为患者提供由其个人基线和改善率决定的任务而无需治疗师干预来提高恢复速度。

项目成果

nSTAT: open-source neural spike train analysis toolbox for Matlab.

• DOI: 10.1016/j.jneumeth.2012.08.009
• 发表时间: 2012-11-15
• 期刊: JOURNAL OF NEUROSCIENCE METHODS
• 影响因子: 3
• 作者: Cajigas, I.;Malik, W. Q.;Brown, E. N.
• 通讯作者: Brown, E. N.

Assessment of lower extremity motor adaptation via an extension of the force field adaptation paradigm.

通过力场适应范例的扩展来评估下肢运动适应。

• DOI: 10.1109/iembs.2010.5626058
• 发表时间: 2010
• 期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
• 作者: Cajigas,Iahn;Goldsmith,MaryT;Duschau-Wicke,Alexander;Riener,Robert;Smith,MauriceA;Brown,EmeryN;Bonato,Paolo
• 通讯作者: Bonato,Paolo

Design of Human-Machine Interface and altering of pelvic obliquity with RGR Trainer.

• DOI: 10.1109/icorr.2011.5975496
• 发表时间: 2011
• 期刊: IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
• 作者: Pietrusinski M;Unluhisarcikli O;Mavroidis C;Cajigas I;Bonato P
• 通讯作者: Bonato P