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Automated Software Analysis of Fetal Movement Recorded during a Pregnant Woman's Sleep at Home.

Nishihara K, Ohki N, Kamata H, Ryo E, Horiuchi S - PLoS ONE (2015)

Bottom Line: We will also demonstrate an appropriate way to use the system (Experiment II).We evaluated the agreement of the manual and automated analyses for the same 10-sec epochs using prevalence-adjusted bias-adjusted kappa (PABAK) including quantitative indicators for prevalence and bias.The mean PABAK value was 0.83, which can be considered almost perfect.

View Article: PubMed Central - PubMed

Affiliation: Fatigue and Working Life Research Group, The Institute for Science of Labour, Kanagawa-ken, Japan; Integrated Brain Function Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.

ABSTRACT
Fetal movement is an important biological index of fetal well-being. Since 2008, we have been developing an original capacitive acceleration sensor and device that a pregnant woman can easily use to record fetal movement by herself at home during sleep. In this study, we report a newly developed automated software system for analyzing recorded fetal movement. This study will introduce the system and compare its results to those of a manual analysis of the same fetal movement signals (Experiment I). We will also demonstrate an appropriate way to use the system (Experiment II). In Experiment I, fetal movement data reported previously for six pregnant women at 28-38 gestational weeks were used. We evaluated the agreement of the manual and automated analyses for the same 10-sec epochs using prevalence-adjusted bias-adjusted kappa (PABAK) including quantitative indicators for prevalence and bias. The mean PABAK value was 0.83, which can be considered almost perfect. In Experiment II, twelve pregnant women at 24-36 gestational weeks recorded fetal movement at night once every four weeks. Overall, mean fetal movement counts per hour during maternal sleep significantly decreased along with gestational weeks, though individual differences in fetal development were noted. This newly developed automated analysis system can provide important data throughout late pregnancy.

No MeSH data available.


Related in: MedlinePlus

Screen shot.This screen shot shows the basic feature of the software. Part A: A display of all gestational weeks can be seen with one click. Part B: These lines show modified movement signals (integral values) for the mother (above, in black) and the fetus (below, in blue) for one night. Light blue shows maternal wake time, and green shows fetal hiccup movements. Part C: These lines show the signal from the accelerometer (above) and integral (below) for the mother (top two lines) and the fetus (bottom two lines). This is for a 20-second period. The heavy blue line at the bottom indicates a significant moment. FM represents fetal movement. Part F: We can call up the results from any week. We can calculate the fetal parameters (for example, the number of fetal movements per night or per hour).
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pone.0130503.g002: Screen shot.This screen shot shows the basic feature of the software. Part A: A display of all gestational weeks can be seen with one click. Part B: These lines show modified movement signals (integral values) for the mother (above, in black) and the fetus (below, in blue) for one night. Light blue shows maternal wake time, and green shows fetal hiccup movements. Part C: These lines show the signal from the accelerometer (above) and integral (below) for the mother (top two lines) and the fetus (bottom two lines). This is for a 20-second period. The heavy blue line at the bottom indicates a significant moment. FM represents fetal movement. Part F: We can call up the results from any week. We can calculate the fetal parameters (for example, the number of fetal movements per night or per hour).

Mentions: To analyze the recorded fetal movement signals, we wrote an original software program using Windows Visual C. We did not use any other commercial tools. We show the screen shot for data of a 29-year-old woman at 32 gestational weeks (Fig 2). The following six features for data analysis can be seen:


Automated Software Analysis of Fetal Movement Recorded during a Pregnant Woman's Sleep at Home.

Nishihara K, Ohki N, Kamata H, Ryo E, Horiuchi S - PLoS ONE (2015)

Screen shot.This screen shot shows the basic feature of the software. Part A: A display of all gestational weeks can be seen with one click. Part B: These lines show modified movement signals (integral values) for the mother (above, in black) and the fetus (below, in blue) for one night. Light blue shows maternal wake time, and green shows fetal hiccup movements. Part C: These lines show the signal from the accelerometer (above) and integral (below) for the mother (top two lines) and the fetus (bottom two lines). This is for a 20-second period. The heavy blue line at the bottom indicates a significant moment. FM represents fetal movement. Part F: We can call up the results from any week. We can calculate the fetal parameters (for example, the number of fetal movements per night or per hour).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4470661&req=5

pone.0130503.g002: Screen shot.This screen shot shows the basic feature of the software. Part A: A display of all gestational weeks can be seen with one click. Part B: These lines show modified movement signals (integral values) for the mother (above, in black) and the fetus (below, in blue) for one night. Light blue shows maternal wake time, and green shows fetal hiccup movements. Part C: These lines show the signal from the accelerometer (above) and integral (below) for the mother (top two lines) and the fetus (bottom two lines). This is for a 20-second period. The heavy blue line at the bottom indicates a significant moment. FM represents fetal movement. Part F: We can call up the results from any week. We can calculate the fetal parameters (for example, the number of fetal movements per night or per hour).
Mentions: To analyze the recorded fetal movement signals, we wrote an original software program using Windows Visual C. We did not use any other commercial tools. We show the screen shot for data of a 29-year-old woman at 32 gestational weeks (Fig 2). The following six features for data analysis can be seen:

Bottom Line: We will also demonstrate an appropriate way to use the system (Experiment II).We evaluated the agreement of the manual and automated analyses for the same 10-sec epochs using prevalence-adjusted bias-adjusted kappa (PABAK) including quantitative indicators for prevalence and bias.The mean PABAK value was 0.83, which can be considered almost perfect.

View Article: PubMed Central - PubMed

Affiliation: Fatigue and Working Life Research Group, The Institute for Science of Labour, Kanagawa-ken, Japan; Integrated Brain Function Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.

ABSTRACT
Fetal movement is an important biological index of fetal well-being. Since 2008, we have been developing an original capacitive acceleration sensor and device that a pregnant woman can easily use to record fetal movement by herself at home during sleep. In this study, we report a newly developed automated software system for analyzing recorded fetal movement. This study will introduce the system and compare its results to those of a manual analysis of the same fetal movement signals (Experiment I). We will also demonstrate an appropriate way to use the system (Experiment II). In Experiment I, fetal movement data reported previously for six pregnant women at 28-38 gestational weeks were used. We evaluated the agreement of the manual and automated analyses for the same 10-sec epochs using prevalence-adjusted bias-adjusted kappa (PABAK) including quantitative indicators for prevalence and bias. The mean PABAK value was 0.83, which can be considered almost perfect. In Experiment II, twelve pregnant women at 24-36 gestational weeks recorded fetal movement at night once every four weeks. Overall, mean fetal movement counts per hour during maternal sleep significantly decreased along with gestational weeks, though individual differences in fetal development were noted. This newly developed automated analysis system can provide important data throughout late pregnancy.

No MeSH data available.


Related in: MedlinePlus