O 089 - A soft robotic exosuit assisting the paretic ankle in patients post-stroke: Effect on muscle activation during overground walking

Sloot, Lizeth H.; Bae, Je Hyun; Baker, Lenox D.; O’Donnell, Kathleen; Menard, Nicolas; Porciuncula, Franchino; Choe, Dabin K.; Ellis, Terry; Awad, Louis N.; Walsh, Conor J.

doi:10.1016/j.gaitpost.2018.06.124

Cited by 7 publications

(27 citation statements)

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“…The laterality of the stroke event was described for 99 of the 122 stroke participants, 46 of whom had a right-sided stroke (with left hemiplegia). Two studies did not report stroke laterality (Chisari et al, 2015 ; Sloot et al, 2018 ). Stroke etiology was reported in 92 cases: 72 of which were ischemic in origin, 18 were hemorrhagic, and two were ischemic/hemorrhagic.…”

Section: Resultsmentioning

confidence: 99%

“…Stroke etiology was reported in 92 cases: 72 of which were ischemic in origin, 18 were hemorrhagic, and two were ischemic/hemorrhagic. Six studies did not provide information related to stroke type (Ping et al, 2013 ; He et al, 2014 ; Androwis et al, 2018 ; Sloot et al, 2018 ). The time from stroke to study participation was reported for 98 patients, with the majority ( N = 57) recruited in the chronic phase of stroke.…”

Section: Resultsmentioning

confidence: 99%

“…Coenen et al included fully independent walkers (FAC 5) (Coenen et al, 2012 ), Gandolfi et al selected people who were unable to walk (FAC 0), (Gandolfi et al, 2017 ) and Calabrò et al focused on stroke patients with gait impairment (FAC ≤ 4) (Calabrò et al, 2018 ). Three studies identified the participants as “walkers” but did not specify the level of assistance required, if any (Chisari et al, 2015 ; Srivastava et al, 2016 ; Sloot et al, 2018 ). Other studies described the participants' mean motor subscale score of the Functional Independence Measure (Androwis et al, 2018 ) [26 ± 4; where 13–38 indicate low scores for motor independence as guided by Itaya et al ( 2017 )], the Fugl–Meyer Lower Limb Scale (He et al, 2014 ) [12/34; where a cutoff score of <21 indicates lower mobility levels, as guided by Kwong and Ng ( 2019 )], or strength of the lower limb tibialis anterior muscles of <4 on the MRC scale (Gandolla et al, 2018 ) or specified the level of assistance required to walk (Hesse et al, 2010 ; Ping et al, 2013 ).…”

Section: Resultsmentioning

confidence: 99%

“…The majority of the studies collected EMG data to assess neuromuscular adaptations during robotic gait in stroke (Coenen et al, 2012 ; Ping et al, 2013 ; Chisari et al, 2015 ; Srivastava et al, 2016 ; Androwis et al, 2018 ; Calabrò et al, 2018 ; Sloot et al, 2018 ) or as an outcome measure following robotic training (Hesse et al, 2010 ; Chisari et al, 2015 ; Gandolfi et al, 2017 ). One study employed EMG activity as a calibration tool to identify individualized, optimal robotic parameters based on the gait index score derived from a normalized dataset (Gandolla et al, 2018 ).…”

Section: Resultsmentioning

confidence: 99%

“…Muscle activity and timing of onset were registered and interpreted in relation to the gait cycle in 10 studies (Hesse et al, 2010 ; Coenen et al, 2012 ; Ping et al, 2013 ; Srivastava et al, 2016 ; Gandolfi et al, 2017 ; Androwis et al, 2018 ; Calabrò et al, 2018 ; Gandolla et al, 2018 ; Sloot et al, 2018 ). A variety of methods were employed, including instrumented gait analysis systems (Androwis et al, 2018 ), synchronized video analysis (Coenen et al, 2012 ; Ping et al, 2013 ), accelerometry (Calabrò et al, 2018 ), shoe-mounted sensors (Hesse et al, 2010 ; Gandolfi et al, 2017 ), or through the monophasic soleus muscle EMG activity and deactivation during gait, where the signal portion between two soleus muscle deactivations corresponds to a step cycle (Gandolla et al, 2018 ).…”

Section: Resultsmentioning

confidence: 99%

See 4 more Smart Citations

A Systematic Review Establishing the Current State-of-the-Art, the Limitations, and the DESIRED Checklist in Studies of Direct Neural Interfacing With Robotic Gait Devices in Stroke Rehabilitation

et al. 2020

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Background: Stroke is a disease with a high associated disability burden. Robotic-assisted gait training offers an opportunity for the practice intensity levels associated with good functional walking outcomes in this population. Neural interfacing technology, electroencephalography (EEG), or electromyography (EMG) can offer new strategies for robotic gait re-education after a stroke by promoting more active engagement in movement intent and/or neurophysiological feedback. Objectives: This study identifies the current state-of-the-art and the limitations in direct neural interfacing with robotic gait devices in stroke rehabilitation. Methods: A pre-registered systematic review was conducted using standardized search operators that included the presence of stroke and robotic gait training and neural biosignals (EMG and/or EEG) and was not limited by study type. Results: From a total of 8,899 papers identified, 13 articles were considered for the final selection. Only five of the 13 studies received a strong or moderate quality rating as a clinical study. Three studies recorded EEG activity during robotic gait, two of which used EEG for BCI purposes. While demonstrating utility for decoding kinematic and EMG-related gait data, no EEG study has been identified to close the loop between robot and human. Twelve of the studies recorded EMG activity during or after robotic walking, primarily as an outcome measure. One study used multisource information fusion from EMG, joint angle, and force to modify robotic commands in real time, with higher error rates observed during active movement. A novel study identified used EMG data during robotic gait to derive the optimal, individualized robot-driven step trajectory. Lennon et al. Stroke: Neural Interfaced Robotic Walking Conclusions: Wide heterogeneity in the reporting and the purpose of neurobiosignal use during robotic gait training after a stroke exists. Neural interfacing with robotic gait after a stroke demonstrates promise as a future field of study. However, as a nascent area, direct neural interfacing with robotic gait after a stroke would benefit from a more standardized protocol for biosignal collection and processing and for robotic deployment. Appropriate reporting for clinical studies of this nature is also required with respect to the study type and the participants' characteristics.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

A Systematic Review Establishing the Current State-of-the-Art, the Limitations, and the DESIRED Checklist in Studies of Direct Neural Interfacing With Robotic Gait Devices in Stroke Rehabilitation

et al. 2020

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Development of a Soft Exosuit for Lifting and Lowering Loads

Moon,

Choi,

Lee

et al. 2023

Int. J. Control Autom. Syst.

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Dynamic analysis and control of a hybrid lower limb rehabilitation robot to reduce human-robot interaction forces

Imani

Najafi

2023

Proc Inst Mech Eng H

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This study presents a model of cooperation between two planar manipulators including an orthosis and a programmable plate in form of a hybrid lower limb rehabilitation robot, which was designed and built at the University of Guilan. The aims of cooperation are to distribute the power required to move between the cooperative manipulators and also reduce the interaction forces between orthosis and leg. The cooperation is performed with two modes using the adjustment of the plate forces, a constant force in the vertical direction (CFV) and variant force proportional to orthosis torque (VFPOT). Kinematic and dynamic analysis of the hybrid lower limb rehabilitation robot and its control are also discussed in this study. The performance and effectiveness of the proposed hybrid robot are demonstrated on a healthy person in real-time. Each walking trial lasted 60 s and repeated 20 times for every mode. The walking speed was considered to be 1.5 km/h and weight compensator was adjusted with a constant weight unloading level of 70%. The results show that the VFPOT mode leads to a 45% reduction in the driving torque of the hip and knee joints compared to orthosis-only. This reduction is expected to reduce interaction force at the connection straps. So, it provides more patient comfort and safety, which can be effective in improving the time and process of rehabilitation.

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O 089 - A soft robotic exosuit assisting the paretic ankle in patients post-stroke: Effect on muscle activation during overground walking

Cited by 7 publications

References 0 publications

A Systematic Review Establishing the Current State-of-the-Art, the Limitations, and the DESIRED Checklist in Studies of Direct Neural Interfacing With Robotic Gait Devices in Stroke Rehabilitation

A Systematic Review Establishing the Current State-of-the-Art, the Limitations, and the DESIRED Checklist in Studies of Direct Neural Interfacing With Robotic Gait Devices in Stroke Rehabilitation

Development of a Soft Exosuit for Lifting and Lowering Loads

Dynamic analysis and control of a hybrid lower limb rehabilitation robot to reduce human-robot interaction forces

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