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actigraphy analysis software actiware version 6.0.9  (Respironics)

 
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    Structured Review

    Respironics actigraphy analysis software actiware version 6.0.9
    Reported sleep parameters determined by polysomnography and <t> actigraphy </t>
    Actigraphy Analysis Software Actiware Version 6.0.9, supplied by Respironics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/actigraphy+analysis+software+actiware+version+6%2E0%2E9/actigraphy+analysis+software+actiware+version+6+0+9/pmc07844945-129-13-20
    Average 90 stars, based on 1 article reviews
    actigraphy analysis software actiware version 6.0.9 - by Bioz Stars, 2026-10
    90/100 stars

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    1) Product Images from "The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study"

    Article Title: The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study

    Journal: Critical Care

    doi: 10.1186/s13054-020-03447-8

    Reported sleep parameters determined by polysomnography and  actigraphy
    Figure Legend Snippet: Reported sleep parameters determined by polysomnography and actigraphy

    Techniques Used:

    Correlations of Polysomnography and  Actigraphy  sleep parameters
    Figure Legend Snippet: Correlations of Polysomnography and Actigraphy sleep parameters

    Techniques Used:

    Bland–Altman plots: Horizontal line drawn at the mean difference and at the mean difference plus and minus 1.96 times the standard deviation of the differences, with the y-axis reporting mean duration determine by polysomnography. a Polysomnography versus Actigraphy assessment of total sleep time. b Polysomnography versus Actigraphy assessment of wakeful states for the study cohort. Graphs c and d depict Polysomnography versus Actigraphy assessment of total sleep time amongst mechanically ventilated patients ( c ) and Polysomnography versus Actigraphy assessment of wakeful states for patients receiving mechanical ventilation ( d ). Non-ventilated patient total sleep time (PSG vs ACTG), and wake time (PSG vs ACTG) is represented in graph e and f
    Figure Legend Snippet: Bland–Altman plots: Horizontal line drawn at the mean difference and at the mean difference plus and minus 1.96 times the standard deviation of the differences, with the y-axis reporting mean duration determine by polysomnography. a Polysomnography versus Actigraphy assessment of total sleep time. b Polysomnography versus Actigraphy assessment of wakeful states for the study cohort. Graphs c and d depict Polysomnography versus Actigraphy assessment of total sleep time amongst mechanically ventilated patients ( c ) and Polysomnography versus Actigraphy assessment of wakeful states for patients receiving mechanical ventilation ( d ). Non-ventilated patient total sleep time (PSG vs ACTG), and wake time (PSG vs ACTG) is represented in graph e and f

    Techniques Used: Standard Deviation

    Related Articles

    Software:

    Article Title: The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study
    Article Snippet: .. ACTG data was analyzed as sleep or wake at 30-s epochs via the actigraphy analysis software (Actiware version 6.0.9; Phillips Respironics), using the predetermined activity count for each epoch within the software algorithm. .. PSG data was downloaded using data acquisition software (Remlogic-E, version 3.4.1; Embla systems) and scored by a board-certified SST in 30-s epochs according to published criteria [ ].

    Activity Assay:

    Article Title: The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study
    Article Snippet: .. ACTG data was analyzed as sleep or wake at 30-s epochs via the actigraphy analysis software (Actiware version 6.0.9; Phillips Respironics), using the predetermined activity count for each epoch within the software algorithm. .. PSG data was downloaded using data acquisition software (Remlogic-E, version 3.4.1; Embla systems) and scored by a board-certified SST in 30-s epochs according to published criteria [ ].



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    Respironics actigraphy analysis software actiware version 6.0.9
    Reported sleep parameters determined by polysomnography and <t> actigraphy </t>
    Actigraphy Analysis Software Actiware Version 6.0.9, supplied by Respironics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/actigraphy+analysis+software+actiware+version+6%2E0%2E9/actigraphy+analysis+software+actiware+version+6+0+9/pmc07844945-129-13-20
    Average 90 stars, based on 1 article reviews
    actigraphy analysis software actiware version 6.0.9 - by Bioz Stars, 2026-10
    90/100 stars
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    Reported sleep parameters determined by polysomnography and  actigraphy

    Journal: Critical Care

    Article Title: The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study

    doi: 10.1186/s13054-020-03447-8

    Figure Lengend Snippet: Reported sleep parameters determined by polysomnography and actigraphy

    Article Snippet: ACTG data was analyzed as sleep or wake at 30-s epochs via the actigraphy analysis software (Actiware version 6.0.9; Phillips Respironics), using the predetermined activity count for each epoch within the software algorithm.

    Techniques:

    Correlations of Polysomnography and  Actigraphy  sleep parameters

    Journal: Critical Care

    Article Title: The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study

    doi: 10.1186/s13054-020-03447-8

    Figure Lengend Snippet: Correlations of Polysomnography and Actigraphy sleep parameters

    Article Snippet: ACTG data was analyzed as sleep or wake at 30-s epochs via the actigraphy analysis software (Actiware version 6.0.9; Phillips Respironics), using the predetermined activity count for each epoch within the software algorithm.

    Techniques:

    Bland–Altman plots: Horizontal line drawn at the mean difference and at the mean difference plus and minus 1.96 times the standard deviation of the differences, with the y-axis reporting mean duration determine by polysomnography. a Polysomnography versus Actigraphy assessment of total sleep time. b Polysomnography versus Actigraphy assessment of wakeful states for the study cohort. Graphs c and d depict Polysomnography versus Actigraphy assessment of total sleep time amongst mechanically ventilated patients ( c ) and Polysomnography versus Actigraphy assessment of wakeful states for patients receiving mechanical ventilation ( d ). Non-ventilated patient total sleep time (PSG vs ACTG), and wake time (PSG vs ACTG) is represented in graph e and f

    Journal: Critical Care

    Article Title: The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study

    doi: 10.1186/s13054-020-03447-8

    Figure Lengend Snippet: Bland–Altman plots: Horizontal line drawn at the mean difference and at the mean difference plus and minus 1.96 times the standard deviation of the differences, with the y-axis reporting mean duration determine by polysomnography. a Polysomnography versus Actigraphy assessment of total sleep time. b Polysomnography versus Actigraphy assessment of wakeful states for the study cohort. Graphs c and d depict Polysomnography versus Actigraphy assessment of total sleep time amongst mechanically ventilated patients ( c ) and Polysomnography versus Actigraphy assessment of wakeful states for patients receiving mechanical ventilation ( d ). Non-ventilated patient total sleep time (PSG vs ACTG), and wake time (PSG vs ACTG) is represented in graph e and f

    Article Snippet: ACTG data was analyzed as sleep or wake at 30-s epochs via the actigraphy analysis software (Actiware version 6.0.9; Phillips Respironics), using the predetermined activity count for each epoch within the software algorithm.

    Techniques: Standard Deviation