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Porciuncula F, Baker TC, Arumukhom Revi D, Bae J, Sloutsky R, Ellis TD, Walsh CJ, Awad LN. Targeting Paretic Propulsion and Walking Speed With a Soft Robotic Exosuit: A Consideration-of-Concept Trial. Front Neurorobot 2021; 15:689577. [PMID: 34393750 PMCID: PMC8356079 DOI: 10.3389/fnbot.2021.689577] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 06/30/2021] [Indexed: 12/31/2022] Open
Abstract
Background: Soft robotic exosuits can facilitate immediate increases in short- and long-distance walking speeds in people with post-stroke hemiparesis. We sought to assess the feasibility and rehabilitative potential of applying propulsion-augmenting exosuits as part of an individualized and progressive training program to retrain faster walking and the underlying propulsive strategy. Methods: A 54-yr old male with chronic hemiparesis completed five daily sessions of Robotic Exosuit Augmented Locomotion (REAL) gait training. REAL training consists of high-intensity, task-specific, and progressively challenging walking practice augmented by a soft robotic exosuit and is designed to facilitate faster walking by way of increased paretic propulsion. Repeated baseline assessments of comfortable walking speed over a 2-year period provided a stable baseline from which the effects of REAL training could be elucidated. Additional outcomes included paretic propulsion, maximum walking speed, and 6-minute walk test distance. Results: Comfortable walking speed was stable at 0.96 m/s prior to training and increased by 0.30 m/s after training. Clinically meaningful increases in maximum walking speed (Δ: 0.30 m/s) and 6-minute walk test distance (Δ: 59 m) were similarly observed. Improvements in paretic peak propulsion (Δ: 2.80 %BW), propulsive power (Δ: 0.41 W/kg), and trailing limb angle (Δ: 6.2 degrees) were observed at comfortable walking speed (p's < 0.05). Likewise, improvements in paretic peak propulsion (Δ: 4.63 %BW) and trailing limb angle (Δ: 4.30 degrees) were observed at maximum walking speed (p's < 0.05). Conclusions: The REAL training program is feasible to implement after stroke and capable of facilitating rapid and meaningful improvements in paretic propulsion, walking speed, and walking distance.
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Affiliation(s)
- Franchino Porciuncula
- Paulson School of Engineering and Applied Sciences, Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, United States.,Neuromotor Recovery Laboratory, Department of Physical Therapy, College of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA, United States
| | - Teresa C Baker
- Neuromotor Recovery Laboratory, Department of Physical Therapy, College of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA, United States
| | - Dheepak Arumukhom Revi
- Paulson School of Engineering and Applied Sciences, Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, United States.,Neuromotor Recovery Laboratory, Department of Physical Therapy, College of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA, United States
| | - Jaehyun Bae
- Paulson School of Engineering and Applied Sciences, Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, United States.,Apple Inc., Cupertino, CA, United States
| | - Regina Sloutsky
- Neuromotor Recovery Laboratory, Department of Physical Therapy, College of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA, United States
| | - Terry D Ellis
- Neuromotor Recovery Laboratory, Department of Physical Therapy, College of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA, United States
| | - Conor J Walsh
- Paulson School of Engineering and Applied Sciences, Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, United States
| | - Louis N Awad
- Paulson School of Engineering and Applied Sciences, Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, United States.,Neuromotor Recovery Laboratory, Department of Physical Therapy, College of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA, United States
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Castronovo AM, Giles Doran C, Holden M, Severini G. Analysis of the Effectiveness of Sub-sensory Electrical Noise Stimulation During Visuomotor Adaptations in Different Visual Feedback Conditions. Front Bioeng Biotechnol 2020; 7:399. [PMID: 31921805 PMCID: PMC6915077 DOI: 10.3389/fbioe.2019.00399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 11/22/2019] [Indexed: 11/25/2022] Open
Abstract
Sub-sensory electrical noise stimulation has been shown to improve motor performance in tasks that mainly rely on proprioceptive feedback. During the execution of movements such as reaching, proprioceptive feedback combines dynamically with visual feedback. It is still unclear whether boosting proprioceptive information in tasks where proprioception mixes with vision can influence motor performance. To better understand this point, we tested the effect of electrical noise stimulation applied superficially to the muscle spindles during four different experiments consisting of isometric reaching tasks under different visual feedback conditions. The first experiment (n = 40) consisted of a reach-and-hold task where subjects had to hold a cursor on a target for 30 s and had visual feedback removed 10 s into the task. Subjects performed 30 repetitions of this task with different stimulation levels, including no stimulation. We observed that trials in which the stimulation was present displayed smaller movement variability. Moreover, we observed a positive correlation between the level of stimulation and task performance. The other three experiments consisted of three versions of an isometric visuomotor adaptation task where subjects were asked to reach to random targets in <1.5 s (otherwise incurring in negative feedback) while overcoming a 45° clockwise rotation in the mapping between the force exerted and the movement of the cursor. The three experiments differed in the visual feedback presented to the subjects, with one group (n = 20) performing the experiment with full visual feedback, one (n = 10) with visual feedback restricted only to the beginning of the trajectory, and one (n = 10) without visual feedback of the trajectory. All subjects performed their experiment twice, with and without stimulation. We did not observe substantial effects of the stimulation when visual feedback was present (either completely or partially). We observed a limited effect of the stimulation in the absence of visual feedback consisting in a significant smaller number of negative-feedback trials and a significant smaller movement time in the first block of the adaptation phase. Our results suggest that sub-sensory stimulation can be beneficial when proprioception is the main feedback modality but mostly ineffective in tasks where visual feedback is actively employed.
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Affiliation(s)
| | - Ciara Giles Doran
- School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland
| | - Méabh Holden
- School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland
| | - Giacomo Severini
- School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland.,UCD Centre for Biomedical Engineering, University College Dublin, Dublin, Ireland.,Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland
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Cushion EJ, Warmenhoven J, North JS, Cleather DJ. Principal Component Analysis Reveals the Proximal to Distal Pattern in Vertical Jumping Is Governed by Two Functional Degrees of Freedom. Front Bioeng Biotechnol 2019; 7:193. [PMID: 31440505 PMCID: PMC6694595 DOI: 10.3389/fbioe.2019.00193] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 07/24/2019] [Indexed: 11/13/2022] Open
Abstract
The successful completion of motor tasks requires effective control of multiple degrees of freedom (DOF), with adaptations occurring as a function of varying performance constraints. In this study we sought to compare the emergent coordination strategies employed in vertical jumping under different task constraints [countermovement jump (CMJ) with arm swing-CMJas and no arm swing-CMJnas]. In order to achieve this, principal component analysis (PCA) was conducted on joint moment waveform data from the hip, knee and ankle. This statistical approach has the advantage of analyzing the whole movement within a time series and reduces multidimensional datasets to lower dimensions for analysis. Both individual and group analyses were conducted. For individual analysis, PCA was conducted on combined hip, knee, and ankle joint moment data for each individual across both CMJnas (thirty-eight participants), and CMJas (twenty-two participants) conditions. PCA was also performed comparing all data from each individual across CMJnas and CMJas conditions. The results revealed a maximum of three principal components (PC) explained over 90% of the variance in the data sets for both conditions and within individual and group analyses. For individual analysis, no more than 2PCs were required for both conditions. For group analysis, CMJas required 3PCs to explain over 90% of the variance within the dataset and CMJnas only required 2PCs. Reconstruction of the original NJM waveforms from the PCA output demonstrates a greater loading of hip and knee joint moments to PC1, with PC2 showing a greater loading to ankle joint moment. The reduction in dimensions of the original data shows the proximal to distal extension pattern in the sagittal plane, typical of vertical jumping tasks, is governed by only 2 functional DOF, at both a group, and individual level, rather than the typically reported 3 mechanical DOF in some forms of jumping.
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Affiliation(s)
- Emily J Cushion
- Faculty of Sport, Health and Applied Science, St Mary's University, Twickenham, United Kingdom
| | - John Warmenhoven
- Exercise and Sports Science, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia
| | - Jamie S North
- Faculty of Sport, Health and Applied Science, St Mary's University, Twickenham, United Kingdom
| | - Daniel J Cleather
- Faculty of Sport, Health and Applied Science, St Mary's University, Twickenham, United Kingdom
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Sawacha Z, Guarneri G, Avogaro A, Cobelli C. A new classification of diabetic gait pattern based on cluster analysis of biomechanical data. J Diabetes Sci Technol 2010; 4:1127-38. [PMID: 20920432 PMCID: PMC2956820 DOI: 10.1177/193229681000400511] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The diabetic foot, one of the most serious complications of diabetes mellitus and a major risk factor for plantar ulceration, is determined mainly by peripheral neuropathy. Neuropathic patients exhibit decreased stability while standing as well as during dynamic conditions. A new methodology for diabetic gait pattern classification based on cluster analysis has been proposed that aims to identify groups of subjects with similar patterns of gait and verify if three-dimensional gait data are able to distinguish diabetic gait patterns from one of the control subjects. METHOD The gait of 20 nondiabetic individuals and 46 diabetes patients with and without peripheral neuropathy was analyzed [mean age 59.0 (2.9) and 61.1(4.4) years, mean body mass index (BMI) 24.0 (2.8), and 26.3 (2.0)]. K-means cluster analysis was applied to classify the subjects' gait patterns through the analysis of their ground reaction forces, joints and segments (trunk, hip, knee, ankle) angles, and moments. RESULTS Cluster analysis classification led to definition of four well-separated clusters: one aggregating just neuropathic subjects, one aggregating both neuropathics and non-neuropathics, one including only diabetes patients, and one including either controls or diabetic and neuropathic subjects. CONCLUSIONS Cluster analysis was useful in grouping subjects with similar gait patterns and provided evidence that there were subgroups that might otherwise not be observed if a group ensemble was presented for any specific variable. In particular, we observed the presence of neuropathic subjects with a gait similar to the controls and diabetes patients with a long disease duration with a gait as altered as the neuropathic one.
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Affiliation(s)
- Zimi Sawacha
- Department of Information Engineering, University of PadovaPadova, Italy
| | - Gabriella Guarneri
- Department of Clinical Medicine and Metabolic Disease, University PolyclinicPadova, Italy
| | - Angelo Avogaro
- Department of Clinical Medicine and Metabolic Disease, University PolyclinicPadova, Italy
| | - Claudio Cobelli
- Department of Information Engineering, University of PadovaPadova, Italy
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