Actigraphy noninvasively measures cycles of activity and sleep (rest) over days or even weeks, typically to assess sleep disorders and other sleep-related criteria.
Use the Actigraphy Analysis licensed feature in AcqKnowledge® to record long-term accelerometer data of mobile subjects and then analyze sleep and activity patterns; correlate activity levels with GPS positioning for more detailed analysis.
General activity levels of the subject are recorded with a wireless tri-axial accelerometer (BioNomadix®, Mobita®, or BioHarness®), and the Actigraphy Analysis routine provides a general indication of Activity and Sleep patterns.
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This is one of many ADVANCED FEATURES for the selected Application. Scroll down for hardware options.AcqKnowledge software records and reports Activity and Sleep as a plotted graph and spreadsheet that can easily be exported.
The Activity mode analyzes data collected from the subject throughout the day. It reports on the general level of activity evident in the accelerometry data and breaks it into low, medium and high activity levels. The following activity metrics are reported:
The Sleep mode uses a zero crossing algorithm that breaks data 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 following sleep-related metrics are reported:
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MP36R System
Wired | Actigraphy
MP36R with AcqKnowledge licensed for Actigraphy Analysis, plus tri-axial accelerometer
MP160 System
Wired | Actigraphy
MP160 System with accelerometer
MP36R System
MP160 System
MP160 System
Wireless | Actigraphy
MP160 System with AcqKnowledge plus BioNomadix wireless accelerometer amp
BioNomadix Logger
Wireless | Actigraphy
BioNomadix Wireless Logger with built-in Accelerometer
Mobita
Wireless | Actigraphy
Mobita system for up to 32-CH Wireless Biopotentials plus AcqKnowledge
MP160 System
BioNomadix Logger
Mobita
Stellar
Animal | Actigraphy
Schedule, Record, and Analyze Stellar Telemetry Data with AcqKnowledge
Stellar
This EDA webinar will cover recording techniques and strategies for optimizing electrodermal activity data quality. Emphasis will focus on signal quality for in-lab and remote recording applications, including techniques for capturing event triggers for event-related applications.
You will learn how to
– Record great EDA data
– Prepare data for analysis
– Identify and remove artifact from data
– Use AcqKnowledge automated routines
– Run Batch processing
Watch On Demand
Register NowResearchers utilize electrodermal activity (EDA) data in a wide array of protocols. These recent studies join thousands of BIOPAC citations for EDA and represent just a few of BIOPAC’s hardware options for wired, wireless, logged, or MRI protocols with reusable or disposable EDA accessories and AcqKnowledge software solutions for Automated EDA Analysis Routines and EDA Measurement Tools. Caffeine Delivery […]
BIOPAC’s comprehensive EDA Guide provides an introduction to Electrodermal Activity (EDA or GSR) and details topics including: EDA Complex: SCL, SCR, tonic, phasic, specific SCR, non-specific SCR Participant Prep & Electrode Placement Data Recording tips Automated EDA Analysis Routines Digital input to Stim Events Stim-Response Analysis Derive Phasic EDA from Tonic Event-related EDA Analysis Locate […]
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