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The Experts below are selected from a list of 25836 Experts worldwide ranked by ideXlab platform

Kristin Yeager - One of the best experts on this subject based on the ideXlab platform.

H Von Gizycki - One of the best experts on this subject based on the ideXlab platform.

  • determination of sleep and wakefulness with the actigraph Data Analysis Software adas
    Sleep, 1996
    Co-Authors: Girardin Jeanlouis, Ferdinand Zizi, Arthur J. Spielman, H Von Gizycki, J Fookson, J Nunes, R Fullilove
    Abstract:

    Current evidence has shown that, overall, actigraphy is an excellent tool for unobtrusive documentation of sleep/wake activity in normal individuals. However, a number of methodological issues remain to be resolved to warrant its use in clinical research. In this paper, we report the results of a study aimed at the development of a new scoring Software that can accurately identify sleep and wakefulness. Using total sleep time as an index of comparison, the Software was optimized on a calibration sample and prospectively tested on a validation sample. A strong correlation coefficient (r = 0.93, p < 0.008), with an average discrepancy value of 10 minutes, was observed for the calibration sample. The application of the optimal Software to the validation sample revealed an even higher correlation coefficient (r = 0.97, p < 0.0001), with an average discrepancy value of 12 minutes.

Ferdinand Zizi - One of the best experts on this subject based on the ideXlab platform.

  • Actigraphic assessment of sleep in insomnia: application of the Actigraph Data Analysis Software (ADAS).
    Physiology & behavior, 1999
    Co-Authors: Girardin Jean-louis, Ferdinand Zizi, Hans Von Gizycki, Peter Hauri
    Abstract:

    The usefulness of the actigraph methodology has been demonstrated in normal individuals. However, the validity of actigraphy has been questioned in insomnia patients because of the considerable measurement error that has been reported between actigraphy (ACT) and polysomnography (PSG). Two independent investigations have reported errors of 48 and 49 min in total sleep time between ACT and PSG. With a new scoring method called the Actigraph Data Analysis Software, a reAnalysis of one of these studies was conducted. Based on this reAnalysis, we have obtained a measurement error of only 25 min between the two methods. This finding may be an indication of the advantage of this new scoring method. A strong correlation coefficient (r = 0.82, p < 0.0001) was noted between ACT and PSG for total sleep time, thus suggesting a high degree of accuracy of the actigraph methodology in assessing the sleep/wake profile of insomniacs.

  • Actigraphic assessment of sleep in insomnia: application of the Actigraph Data Analysis Software (ADAS).
    Physiology & Behavior, 1998
    Co-Authors: Girardin Jean-louis, Ferdinand Zizi, Hans Von Gizycki, Peter Hauri
    Abstract:

    Abstract JEAN-LOUIS, G., F. ZIZI, H. VON GIZYCKI AND P. HAURI. Actigraphic Assessment of Sleep in Insomnia: Application of The Actigraph Data Analysis Software (ADAS) . PHARMACOL BIOCHEM BEHAV 65 (4/5)659–663, 1998.—The usefulness of the actigraph methodology has been demonstrated in normal individuals. However, the validity of actigraphy has been questioned in insomnia patients because of the considerable measurement error that has been reported between actigraphy (ACT) and polysomnography (PSG). Two independent investigations have reported errors of 48 and 49 min in total sleep time between ACT and PSG. With a new scoring method called the Actigraph Data Analysis Software, a reAnalysis of one of these studies was conducted. Based on this reAnalysis, we have obtained a measurement error of only 25 min between the two methods. This finding may be an indication of the advantage of this new scoring method. A strong correlation coefficient (r = 0.82, p

  • THE ACTIGRAPH Data Analysis Software: I. A NOVEL APPROACH TO SCORING AND INTERPRETING SLEEP-WAKE ACTIVITY
    Perceptual and Motor Skills, 1997
    Co-Authors: Girardin Jean-louis, Ferdinand Zizi, Hans Von Gizycki, Peter Hauri, Arthur J. Spielman, Harvey B. Taub
    Abstract:

    Decades of empirical observations have established the validity of actigraphy primarily in individuals without sleep disorders. Methodological problems encountered thus far coupled with the widespread use of actigraphy signal the need for concentrated efforts to establish a consensus regarding scoring procedures. Currently available scoring methods show less reliability in clinical populations. To address these issues two validation studies were conducted: one for individuals without sleep disorders and the other for patients diagnosed with insomnia. The results of these two studies using the Actigraph Data Analysis Software as the scoring method have shown that the described system is fairly precise. It can be used for actigraphs with different features and mode of operation and is applicable to individuals with insomnia. These findings corroborate previous research showing that actigraphy is a valid instrument for assessment of sleep and wakefulness.

  • determination of sleep and wakefulness with the actigraph Data Analysis Software adas
    Sleep, 1996
    Co-Authors: Girardin Jeanlouis, Ferdinand Zizi, Arthur J. Spielman, H Von Gizycki, J Fookson, J Nunes, R Fullilove
    Abstract:

    Current evidence has shown that, overall, actigraphy is an excellent tool for unobtrusive documentation of sleep/wake activity in normal individuals. However, a number of methodological issues remain to be resolved to warrant its use in clinical research. In this paper, we report the results of a study aimed at the development of a new scoring Software that can accurately identify sleep and wakefulness. Using total sleep time as an index of comparison, the Software was optimized on a calibration sample and prospectively tested on a validation sample. A strong correlation coefficient (r = 0.93, p < 0.008), with an average discrepancy value of 10 minutes, was observed for the calibration sample. The application of the optimal Software to the validation sample revealed an even higher correlation coefficient (r = 0.97, p < 0.0001), with an average discrepancy value of 12 minutes.

R Fullilove - One of the best experts on this subject based on the ideXlab platform.

  • determination of sleep and wakefulness with the actigraph Data Analysis Software adas
    Sleep, 1996
    Co-Authors: Girardin Jeanlouis, Ferdinand Zizi, Arthur J. Spielman, H Von Gizycki, J Fookson, J Nunes, R Fullilove
    Abstract:

    Current evidence has shown that, overall, actigraphy is an excellent tool for unobtrusive documentation of sleep/wake activity in normal individuals. However, a number of methodological issues remain to be resolved to warrant its use in clinical research. In this paper, we report the results of a study aimed at the development of a new scoring Software that can accurately identify sleep and wakefulness. Using total sleep time as an index of comparison, the Software was optimized on a calibration sample and prospectively tested on a validation sample. A strong correlation coefficient (r = 0.93, p < 0.008), with an average discrepancy value of 10 minutes, was observed for the calibration sample. The application of the optimal Software to the validation sample revealed an even higher correlation coefficient (r = 0.97, p < 0.0001), with an average discrepancy value of 12 minutes.

Simone Poliandri - One of the best experts on this subject based on the ideXlab platform.

  • Scientists Learn by Employing Qualitative Data Analysis Software in the
    2020
    Co-Authors: Michael J. White, Maya D. Judd, Simone Poliandri
    Abstract:

    Although there has been much optimistic discussion of integrating quantitative and qualitative findings into sociological Analysis, there remains a gap regarding the appli cation of mixed approaches. We examine the potential gains and pitfalls of such inte gration in the context of the growing analytic power of contemporary qualitative Data Analysis Software (QDAS) programs. We illustrate the issues with our own research in a mixed-methods project examining low fertility in Italy, a project that combines Analysis of large nationally representative survey Data with qualitative in depth interviews with women across four cities in Italy. Despite the enthusiasm for mixed-methods research, the available Software appears to be underutilized. In addi tion, we suggest that the sociological research community will want to address sev eral conceptual and inferential issues with these approaches.

  • illumination with a dim bulb what do social scientists learn by employing qualitative Data Analysis Software qdas in the service of multi method designs
    Sociological Methodology, 2012
    Co-Authors: Michael J. White, Maya D. Judd, Simone Poliandri
    Abstract:

    Although there has been much optimistic discussion of integrating quantitative and qualitative findings into sociological Analysis, there remains a gap regarding the application of mixed approaches. We examine the potential gains and pitfalls of such integration in the context of the growing analytic power of contemporary qualitative Data Analysis Software (QDAS) programs. We illustrate the issues with our own research in a mixed-methods project examining low fertility in Italy, a project that combines Analysis of large nationally representative survey Data with qualitative in-depth interviews with women across four cities in Italy. Despite the enthusiasm for mixed-methods research, the available Software appears to be underutilized. In addition, we suggest that the sociological research community will want to address several conceptual and inferential issues with these approaches.

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