2011
DOI: 10.1186/1743-0003-8-41
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Abnormal coactivation of knee and ankle extensors is related to changes in heteronymous spinal pathways after stroke

Abstract: BackgroundAbnormal coactivation of leg extensors is often observed on the paretic side of stroke patients while they attempt to move. The mechanisms underlying this coactivation are not well understood. This study (1) compares the coactivation of leg extensors during static contractions in stroke and healthy individuals, and (2) assesses whether this coactivation is related to changes in intersegmental pathways between quadriceps and soleus (Sol) muscles after stroke.MethodsThirteen stroke patients and ten hea… Show more

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Cited by 28 publications
(20 citation statements)
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References 53 publications
(70 reference statements)
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“…Subsequently, the normalized data segment consisting of 10 EMG channels, six accelerometer axes and six gyroscope axes was further normalized in time to 256 sample points, to alleviate time duration variation of task performance. Finally, the motion data profile was produced as a 22 × 256 data matrix for each data segment. Time duration : The time duration of each data segment was specifically calculated to reflect proficiency of task performance, while such information was not involved in the above MDP due to the normalization process. IMU extremum number : Within each data segment, the number of local minima and maxima was computed for each axis of both IMUs and then summed up as a feature as well. EMG power distribution : After the root mean square (RMS) of each surface EMG channel was computed, the percentage of one channel EMG RMS to summation of the RMS values from all 10 channels was subsequently obtained, thus producing a 10-element vector indicating EMG power distribution across channels [30]. …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Subsequently, the normalized data segment consisting of 10 EMG channels, six accelerometer axes and six gyroscope axes was further normalized in time to 256 sample points, to alleviate time duration variation of task performance. Finally, the motion data profile was produced as a 22 × 256 data matrix for each data segment. Time duration : The time duration of each data segment was specifically calculated to reflect proficiency of task performance, while such information was not involved in the above MDP due to the normalization process. IMU extremum number : Within each data segment, the number of local minima and maxima was computed for each axis of both IMUs and then summed up as a feature as well. EMG power distribution : After the root mean square (RMS) of each surface EMG channel was computed, the percentage of one channel EMG RMS to summation of the RMS values from all 10 channels was subsequently obtained, thus producing a 10-element vector indicating EMG power distribution across channels [30]. …”
Section: Methodsmentioning
confidence: 99%
“…EMG power distribution : After the root mean square (RMS) of each surface EMG channel was computed, the percentage of one channel EMG RMS to summation of the RMS values from all 10 channels was subsequently obtained, thus producing a 10-element vector indicating EMG power distribution across channels [30]. …”
Section: Methodsmentioning
confidence: 99%
“…The modulation of H-reflexes in knee extensors and ankle extensors have been well documented (Dietz et al, 1990) and associated to joint angles of knee and ankle during gait (Larsen et al, 2006; Sinkjær et al, 1996). Enhanced intersegmental facilitation of soleus muscle from hyperactive quadriceps afferents has been revealed after stroke (Dyer et al, 2009; Dyer et al, 2011) and related to altered activation timings of knee and ankle extensors during gait following stroke (Dyer et al, 2014). However, altered reflex excitability in the targeted muscle is highly context-dependent.…”
Section: Introductionmentioning
confidence: 99%
“…Following a stroke, individuals often experience significant impairments including muscle weakness, spasticity, increased tone, and abnormal coordination (Twitchell 1951), which often results in compensatory movements (Perry and Burnfield 1992). Abnormal coordination has been quantified in the upper limb (Dewald, Pope et al 1995),but only more recently in the lower limbs using joint torque measures (Cruz and Dhaher 2008, Neckel, Blonien et al 2008, Cruz, Lewek et al 2009, Sakuma, Ohata et al 2014, mechanical perturbations (Finley, Perreault et al 2008, Sakuma, Ohata et al 2014) and H-reflex stimulations (Marque, Simonetta-Moreau et al 2001, Maupas, Marque et al 2004, Dyer, Maupas et al 2009, Dyer, Maupas et al 2011). However, it is unclear whether such abnormal coordination has direct consequences on gait function.…”
Section: Introductionmentioning
confidence: 99%