matlab robust control toolbox  (MathWorks Inc)

Journal: NPJ Digital Medicine

Article Title: Insights into endometriosis symptom trajectories and assessment of surgical intervention outcomes using longitudinal actigraphy

doi: 10.1038/s41746-025-01629-8

Figure Lengend Snippet: Boxplots of intra-person Pearson pairwise ( a , b ) and partial ( c , d ) correlations between a range of actigraphy measures (x-axis) and ( a , c ) global pain scores, or (b,d) global BFI scores. In ( c ) and ( d ), the partial correlations indicate that all the other variables presented are controlled for when computing each individual correlation, as opposed to ( a ) and ( b ) where pairwise correlations do not control for any variables. Each point represents the correlation within a specific participant’s own data, and red-dashed lines indicate where |R | =0.3. We refer to Fig. and Supplementary Data for definitions of variable names. Only participants with at least 20 non-missing value pairs were included, and smartwatch cycles in which participants received surgery for endometriosis (either as part of the surgical sub-study or otherwise) were excluded, resulting in n = 54 participants included in the figure, with a total number of days included ranging from 3,591-3,907 for subfigures ( a ) and ( b ) and 3,327 total days in subfigures ( c ) and ( d ). We refer readers to Supplementary Table where we explored linear mixed-effect models for fatigue and pain (complementing findings presented in subplots ( c ) and ( d )).

Article Snippet: Additionally, we processed the raw data using a further open-source approach with the MATLAB Actigraphy Toolbox developed in house and then implemented in R, which we have reported on in previous work .

Techniques: Control

Journal: NPJ Digital Medicine

Article Title: Insights into endometriosis symptom trajectories and assessment of surgical intervention outcomes using longitudinal actigraphy

doi: 10.1038/s41746-025-01629-8

Figure Lengend Snippet: Included in the analysis summary is a glossary of indicative actigraphy measures and daily PROMs used in the analysis. For definitions of all daily actigraphy measures used in the analysis see Supplementary Data (under the tab “Variable Definitions”).

Article Snippet: Additionally, we processed the raw data using a further open-source approach with the MATLAB Actigraphy Toolbox developed in house and then implemented in R, which we have reported on in previous work .

Techniques:

Journal: NPJ Digital Medicine

Article Title: Insights into endometriosis symptom trajectories and assessment of surgical intervention outcomes using longitudinal actigraphy

doi: 10.1038/s41746-025-01629-8

Figure Lengend Snippet: A best-fit line is displayed in blue with a 95% confidence interval (shaded gray) along with the Spearman partial correlation coefficient (R), controlling for the smartwatch location (dominant vs. non-dominant wrist), age, and BMI. The displayed actigraphy measures were chosen to depict indicative strong correlations ( | R | >0.3), which also appeared robust with minimal outliers, involving different types of actigraphy measures (sleep vs. PA) with different types of summary measures (i.e., from different algorithmic families).

Article Snippet: Additionally, we processed the raw data using a further open-source approach with the MATLAB Actigraphy Toolbox developed in house and then implemented in R, which we have reported on in previous work .

Techniques:

Journal: NPJ Digital Medicine

Article Title: Insights into endometriosis symptom trajectories and assessment of surgical intervention outcomes using longitudinal actigraphy

doi: 10.1038/s41746-025-01629-8

Figure Lengend Snippet: The boxplots above show differences in min-max scaled actigraphy measures and self-report symptoms from baseline to the 10-days immediately post-surgery (top) for each of the labeled n = 13 participants (in random order). The line plot below shows of all n = 13 participant PA (as shown by M10) trajectories following surgery, with the mean value highlighted in black, the 95% confidence interval highlighted in gray, and the participant mean M10 baseline value shown by the red dotted line. For the mean and 95% CI, only days with data points from at least 50% of the participants were used. In the top figure, a minimum of three data points for a participant was available for the 10-day period, and min-max scaling across all daily data from all participants was applied.

Article Snippet: Additionally, we processed the raw data using a further open-source approach with the MATLAB Actigraphy Toolbox developed in house and then implemented in R, which we have reported on in previous work .

Techniques: Labeling