matlab actigraphy toolbox Search Results


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Fig. 4 | Symptom and <t>actigraphy</t> trajectories from indicative selected partici- pants. a Examples of the trajectories of indicative participants (P5 and P3) who were not taking any hormones, compared to P12 who was taking GnRH agonist without HRT. b Examples of colored actograms (with log-10 transformed activity levels) of a
Matlab Actigraphy Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Fig. 4 | Symptom and <t>actigraphy</t> trajectories from indicative selected partici- pants. a Examples of the trajectories of indicative participants (P5 and P3) who were not taking any hormones, compared to P12 who was taking GnRH agonist without HRT. b Examples of colored actograms (with log-10 transformed activity levels) of a
Matlab Code, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Fig. 4 | Symptom and <t>actigraphy</t> trajectories from indicative selected partici- pants. a Examples of the trajectories of indicative participants (P5 and P3) who were not taking any hormones, compared to P12 who was taking GnRH agonist without HRT. b Examples of colored actograms (with log-10 transformed activity levels) of a
Cicada Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Fig. 4 | Symptom and <t>actigraphy</t> trajectories from indicative selected partici- pants. a Examples of the trajectories of indicative participants (P5 and P3) who were not taking any hormones, compared to P12 who was taking GnRH agonist without HRT. b Examples of colored actograms (with log-10 transformed activity levels) of a
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Fig. 4 | Symptom and actigraphy trajectories from indicative selected partici- pants. a Examples of the trajectories of indicative participants (P5 and P3) who were not taking any hormones, compared to P12 who was taking GnRH agonist without HRT. b Examples of colored actograms (with log-10 transformed activity levels) of a

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: Fig. 4 | Symptom and actigraphy trajectories from indicative selected partici- pants. a Examples of the trajectories of indicative participants (P5 and P3) who were not taking any hormones, compared to P12 who was taking GnRH agonist without HRT. b Examples of colored actograms (with log-10 transformed activity levels) of a

Article Snippet: Additionally, we processed the raw data using a further opensource approach with the MATLAB Actigraphy Toolbox developed in house and then implemented in R, which we have reported on in previous work41.

Techniques: Transformation Assay, Activity Assay

Fig. 9 | Diagram of study design and analysis summary. 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 1 (under the tab “Variable Definitions”).

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: Fig. 9 | Diagram of study design and analysis summary. 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 1 (under the tab “Variable Definitions”).

Article Snippet: Additionally, we processed the raw data using a further opensource approach with the MATLAB Actigraphy Toolbox developed in house and then implemented in R, which we have reported on in previous work41.

Techniques: