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Actigraphy Licenses

The Premier Data Acquisition & Analysis Program: AcqKnowledge®

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Actigraphy Analysis for Sleep and Activity
Part #: ACK100W-ACT, ACK100M-ACT

Automated Actigraphy Analysis Package with Routines for Sleep & General Gross Motor Activity!

Record long-term accelerometer data and analyze sleep and activity patterns of mobile subjects! Correlate activity levels with GPS positioning for even more information.

The new Actigraphy licensed feature operates in two modes to provide a general indication of activity and also sleep patterns. The analysis routine requires a raw accelerometer signal coming from a BioNomadix module or Logger. The accelerometer will record the general activity levels of the subject and the software will display and report the results. When the analysis is combined with the GPS tracker, it is possible to identify where the subject was located and compare it with the actigraphy data.

This licensed feature add-on requires current release AcqKnowledge software. Check version details in the software “About” dialog and see upgrade options if necessary.

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Automated Sleep Analysis

Actigraphy License add-on | measure cycles of activity and sleep (rest) over days or even weeks to nninvasively assess sleep disorders and other sleep-related criteria

Connect to MP160 Systems

The MP Research System plus BIOPAC amplifiers acts as a complete, fully-isolated life science data acquisition system

Analyze sleep & activity patterns of mobile subjects

Record and analyze detailed sleep indicators & measurements and real-life waking activities.

Actigraphy analysis for sleep studies
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Categories: Software - Research
Subcategories: AcqKnowledge Licensed Features - Research

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Sleep Analysis

The sleep detection method uses a zero crossing algorithm that breaks the data down into one minute windows as described in the publication by Sadeh A, Sharkey K, et. al. The algorithm then employs a sleep onset heuristic as reported by Cole R, Kripke D, et. al. The data is displayed and the software reports the following sleep related metrics:

  1. Sleep onset
  2. Percentage of wake
  3. Sleep end
  4. Wake after sleep onset (WASO)
  5. Total sleep period length
  6. Sleep bouts
  7. Sleep time
  8. Wake bouts
  9. Percentage of sleep
  10. Mean sleep bout
  11. Wake time
  12. Mean wake bout

Activity Analysis

The activity analysis is intended to analyze data that was collected from the subject throughout the day. It reports on the general level of activity that was evident in the accelerometry data and breaks it into low, medium and high activity levels. The report provides the following metrics:

  1. Total low activity time
  2. Waking low activity time
  3. Total high activity time
  4. Total low activity %
  5. Waking low activity %
  6. Total high activity %
  7. Total medium activity time
  8. Waking medium activity time
  9. Waking high activity time
  10. Total medium activity %
  11. Waking medium activity %
  12. Waking high activity %

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fNIRS Data Analysis

In this fNIRS training, you will see a typical analysis workflow for fNIRS data in experiments featuring both event-based and continuous stimulation. Learn about a powerful yet easy-to-use software package with both a graphical user interface and scripting capability (for automation).

What You Will Learn:
• Preparing data for analysis
• Signal conditioning, noise removal, and managing artifacts
• Best practices for visualizing recorded data
• Block analysis using event markers and/or time
• Further temporal and spatial processing of data, including cell-by-cell processing
• Automation of analysis procedures
• Performing common statistical comparisons (t-test, ANOVA)
• Spatial visualization
LIVE Webinar Aug 25th 8am PT/11am ET

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