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Mean across subjects <t> Pearson correlation coefficient r </t> values between EMG vs. muscle activations (r < 0.40 underlined and r > 0.60 in italics) and computational time of the different approaches
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Image Search Results


Mean across subjects  Pearson correlation coefficient r  values between EMG vs. muscle activations (r < 0.40 underlined and r > 0.60 in italics) and computational time of the different approaches

Journal: Journal of NeuroEngineering and Rehabilitation

Article Title: A fair and EMG-validated comparison of recruitment criteria, musculotendon models and muscle coordination strategies, for the inverse-dynamics based optimization of muscle forces during gait

doi: 10.1186/s12984-021-00806-6

Figure Lengend Snippet: Mean across subjects Pearson correlation coefficient r values between EMG vs. muscle activations (r < 0.40 underlined and r > 0.60 in italics) and computational time of the different approaches

Article Snippet: Matching between estimated muscle activations and EMG was quantified via cross-correlation using the Pearson correlation coefficient r (Matlab’s function corrcoef ) with a maximum time delay of 150 ms [ ].

Techniques:

p-value for paired sample t-test for the  Pearson correlation coefficient r  between across-subjects mean (p < 0.05 underlined, NA: not applicable)

Journal: Journal of NeuroEngineering and Rehabilitation

Article Title: A fair and EMG-validated comparison of recruitment criteria, musculotendon models and muscle coordination strategies, for the inverse-dynamics based optimization of muscle forces during gait

doi: 10.1186/s12984-021-00806-6

Figure Lengend Snippet: p-value for paired sample t-test for the Pearson correlation coefficient r between across-subjects mean (p < 0.05 underlined, NA: not applicable)

Article Snippet: Matching between estimated muscle activations and EMG was quantified via cross-correlation using the Pearson correlation coefficient r (Matlab’s function corrcoef ) with a maximum time delay of 150 ms [ ].

Techniques:

Mean across muscles  Pearson correlation coefficient r  values between EMG vs. muscle activations (r > 0.60 in italics)

Journal: Journal of NeuroEngineering and Rehabilitation

Article Title: A fair and EMG-validated comparison of recruitment criteria, musculotendon models and muscle coordination strategies, for the inverse-dynamics based optimization of muscle forces during gait

doi: 10.1186/s12984-021-00806-6

Figure Lengend Snippet: Mean across muscles Pearson correlation coefficient r values between EMG vs. muscle activations (r > 0.60 in italics)

Article Snippet: Matching between estimated muscle activations and EMG was quantified via cross-correlation using the Pearson correlation coefficient r (Matlab’s function corrcoef ) with a maximum time delay of 150 ms [ ].

Techniques: Muscles

p-value for paired sample t-test for the  Pearson correlation coefficient r  between across-muscles mean (p < 0.05 underlined, NA: not applicable)

Journal: Journal of NeuroEngineering and Rehabilitation

Article Title: A fair and EMG-validated comparison of recruitment criteria, musculotendon models and muscle coordination strategies, for the inverse-dynamics based optimization of muscle forces during gait

doi: 10.1186/s12984-021-00806-6

Figure Lengend Snippet: p-value for paired sample t-test for the Pearson correlation coefficient r between across-muscles mean (p < 0.05 underlined, NA: not applicable)

Article Snippet: Matching between estimated muscle activations and EMG was quantified via cross-correlation using the Pearson correlation coefficient r (Matlab’s function corrcoef ) with a maximum time delay of 150 ms [ ].

Techniques: