The recovery of symmetric and efficient walking is one of the key goals of a rehabilitation program in patients with stroke. The use of overground exoskeletons alongside conventional gait training might help foster rhythmic muscle activation in the gait cycle toward a more efficient gait. About twenty-nine patients with subacute stroke have been recruited and underwent either conventional gait training or experimental training, including overground gait training using a wearable powered exoskeleton alongside conventional therapy. Before and after the rehabilitation treatment, we assessed: (i) gait functionality by means of clinical scales combined to obtain a Capacity Score, and (ii) gait neuromuscular lower limbs pattern using superficial EMG signals. Both groups improved their ability to walk in terms of functional gait, as detected by the Capacity Score. However, only the group treated with the robotic exoskeleton regained a controlled rhythmic neuromuscular pattern in the proximal lower limb muscles, as observed by the muscular activation analysis. Coherence analysis suggested that the control group (CG) improvement was mediated mainly by spinal cord control, while experimental group improvements were mediated by cortical-driven control. In subacute stroke patients, we hypothesize that exoskeleton multijoint powered fine control overground gait training, alongside conventional care, may lead to a more fine-tuned and efficient gait pattern.
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http://dx.doi.org/10.3389/fnbot.2021.733738 | DOI Listing |
J Biomech
January 2025
Walker Department of Mechanical Engineering, The University of Texas at Austin Austin TX USA.
Skipping represents a training alternative to running due to its lower knee contact forces and higher whole-body metabolic cost. The increased metabolic cost of skipping is associated with a higher vertical center-of-mass (COM) displacement during the support and flight phases of the skipping hop compared to running. However, skipping has lower muscle force impulses than running.
View Article and Find Full Text PDFFront Neurol
January 2025
Department of Rehabilitation, Maruki Memorial Medical and Social Welfare Center, Saitama, Japan.
Background: Evidence of the effectiveness of physiotherapy, including muscle strength training, coordination training, aerobic exercise, cycling regimen, balance training, gait training, and activity of daily living training, in patients with degenerative cerebellar ataxia (DCA) was insufficient for clinical decision making. We aimed to explore clinical outcomes and examine the parameters associated with physical impairment and activity in people with DCA based on preregistration (PROSPERO: CRD42024493883).
Methods: The PubMed, Cochrane Library, CHINAL, and PEDro databases were searched for relevant randomized controlled trials (RCTs).
Phys Ther Res
September 2024
Department of Neurology, Hokkaido Neurological Hospital, Japan.
Objective: To verify the efficacy of smile training in improving gait disturbances in patients with Parkinson's disease (PD) exhibiting neuropsychiatric symptoms.
Methods: A single-case BAB design with three intervention periods (B1, A1, and B2) was used. During periods B1 and B2, 10 min of smile training (facial muscles training and positive thinking training) was performed before the usual exercise therapy.
ChemistryOpen
January 2025
Department of Pharmacy and Health Management, Hebei Chemical & Pharmaceutical College, Shijiazhuang, China.
Self-powered devices for human motion monitoring and energy harvesting have garnered widespread attention in recent research. In this work, we designed a honeycomb-structured triboelectric nanogenerator (H-TENG) using polyester cloth and Teflon tape, with aluminum foil as the conductive electrode. This design leverages the large surface area and flexibility of textiles, resulting in significant performance improvements.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Comprehensive Center for Brain Health, Department of Neurology, Miller School of Medicine, University of Miami, Boca Raton, FL, USA.
Background: Declining physical functionality is an indicator of cognitive impairment, distinguishing normal cognition (NC) from dementia. Whether this extends to pre-dementia stages is unclear.
Objective: Assess physical performance patterns, evaluate relationships with imaging biomarkers, and identify specific measures distinguishing NC, subjective cognitive decline (SCD) and mild cognitive impairment (MCI).
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