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Clocklab Software, supplied by Actimetrics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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clocklab analysis software  (Actimetrics Inc)
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The flow diagram illustrates the multi-stage process performed in our high-resolution telemetry data, beginning with 1) Data Acquisition and Inspection, where raw in-vivo signals, including LA, CBT, and EEG, were recorded from freely moving mice and processed using NOTOCORD-hem software (v4.3.0.75) for blinded visual inspection of artifacts. During 2) Data Analysis, EEG data (sampled every 0.2 ms) underwent a three-stage cleaning process via Operant Modules (OPR)—including Offset Removal (OPR10a), Dropout Masking (OPR10b), and Cleaned Signal Generation (OPR10c)—to produce refined frequency bands (Delta through High Gamma) in 30-second epochs. Concurrently, LA and CBT data were preprocessed using RTM and OPR10a4/a5 modules to adjust for signal dropouts before being exported via the NOTOCORD-to-Excel Add-In for Root Mean Square (RMS) thresholding and 30-minute averaging. Final circadian rhythmicity parameters, such as Amplitude and Interdaily Stability (IS), were calculated using <t>ClockLab</t> (v.6). Final analysis of LA and CBT was conducted in STATISTICA 8.0, while EEG, sleep architecture, and Gamma Coefficient of Variation (CV) were analyzed using R/RStudio with specific packages (e.g. tidyverse , lme4 , and emmeans packages). Alt text: A workflow diagram illustrating the multi-stage analytical pipeline for telemetry data. The process begins with raw signal acquisition (LA, CBT, EEG) in NOTOCORD-hem, followed by EEG cleaning and epoch generation through OPR modules. The pipeline shows separate processing paths for locomotor/temperature data (Excel and ClockLab) and EEG/sleep metrics (R/RStudio and STATISTICA 8.0) for final statistical modeling and rhythmicity analysis.
Clocklab Analysis Software, supplied by Actimetrics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/clocklab analysis software/product/Actimetrics Inc
Average 86 stars, based on 1 article reviews
clocklab analysis software - by Bioz Stars, 2026-06
86/100 stars
  Buy from Supplier

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The flow diagram illustrates the multi-stage process performed in our high-resolution telemetry data, beginning with 1) Data Acquisition and Inspection, where raw in-vivo signals, including LA, CBT, and EEG, were recorded from freely moving mice and processed using NOTOCORD-hem software (v4.3.0.75) for blinded visual inspection of artifacts. During 2) Data Analysis, EEG data (sampled every 0.2 ms) underwent a three-stage cleaning process via Operant Modules (OPR)—including Offset Removal (OPR10a), Dropout Masking (OPR10b), and Cleaned Signal Generation (OPR10c)—to produce refined frequency bands (Delta through High Gamma) in 30-second epochs. Concurrently, LA and CBT data were preprocessed using RTM and OPR10a4/a5 modules to adjust for signal dropouts before being exported via the NOTOCORD-to-Excel Add-In for Root Mean Square (RMS) thresholding and 30-minute averaging. Final circadian rhythmicity parameters, such as Amplitude and Interdaily Stability (IS), were calculated using ClockLab (v.6). Final analysis of LA and CBT was conducted in STATISTICA 8.0, while EEG, sleep architecture, and Gamma Coefficient of Variation (CV) were analyzed using R/RStudio with specific packages (e.g. tidyverse , lme4 , and emmeans packages). Alt text: A workflow diagram illustrating the multi-stage analytical pipeline for telemetry data. The process begins with raw signal acquisition (LA, CBT, EEG) in NOTOCORD-hem, followed by EEG cleaning and epoch generation through OPR modules. The pipeline shows separate processing paths for locomotor/temperature data (Excel and ClockLab) and EEG/sleep metrics (R/RStudio and STATISTICA 8.0) for final statistical modeling and rhythmicity analysis.

Journal: bioRxiv

Article Title: Gamma CV as a Marker of Circadian Disruption in C57BL/6J Mice: Correlating Neural Desynchrony with Locomotor, Thermal, and Sleep Dysrhythmia across a Spectrum of Circadian Rhythms Disruption paradigms

doi: 10.64898/2026.05.01.722075

Figure Lengend Snippet: The flow diagram illustrates the multi-stage process performed in our high-resolution telemetry data, beginning with 1) Data Acquisition and Inspection, where raw in-vivo signals, including LA, CBT, and EEG, were recorded from freely moving mice and processed using NOTOCORD-hem software (v4.3.0.75) for blinded visual inspection of artifacts. During 2) Data Analysis, EEG data (sampled every 0.2 ms) underwent a three-stage cleaning process via Operant Modules (OPR)—including Offset Removal (OPR10a), Dropout Masking (OPR10b), and Cleaned Signal Generation (OPR10c)—to produce refined frequency bands (Delta through High Gamma) in 30-second epochs. Concurrently, LA and CBT data were preprocessed using RTM and OPR10a4/a5 modules to adjust for signal dropouts before being exported via the NOTOCORD-to-Excel Add-In for Root Mean Square (RMS) thresholding and 30-minute averaging. Final circadian rhythmicity parameters, such as Amplitude and Interdaily Stability (IS), were calculated using ClockLab (v.6). Final analysis of LA and CBT was conducted in STATISTICA 8.0, while EEG, sleep architecture, and Gamma Coefficient of Variation (CV) were analyzed using R/RStudio with specific packages (e.g. tidyverse , lme4 , and emmeans packages). Alt text: A workflow diagram illustrating the multi-stage analytical pipeline for telemetry data. The process begins with raw signal acquisition (LA, CBT, EEG) in NOTOCORD-hem, followed by EEG cleaning and epoch generation through OPR modules. The pipeline shows separate processing paths for locomotor/temperature data (Excel and ClockLab) and EEG/sleep metrics (R/RStudio and STATISTICA 8.0) for final statistical modeling and rhythmicity analysis.

Article Snippet: Clock Lab data transformation for activity profiles: The analysis of circadian variables began by transforming the initial Motion and Temperature .xlsx data files into a format compatible with ClockLab Analysis Software (v. 6, ACTIMETRICS).

Techniques: In Vivo, Software, Process/Product Development