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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

The FMAM recording-analysis system and a flow chart.The pregnant woman records fetal movement during her sleep at home. She can bring the SD data card to her medical facility or send it by the Internet. The analysis system itself is at the medical facility. The flow chart of the analysis system is explained in Section 3 of Methods. The mark (*) is also explained in Step 3 of Section 3. Broken lines are used for data that include many artifacts.
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pone.0130503.g001: The FMAM recording-analysis system and a flow chart.The pregnant woman records fetal movement during her sleep at home. She can bring the SD data card to her medical facility or send it by the Internet. The analysis system itself is at the medical facility. The flow chart of the analysis system is explained in Section 3 of Methods. The mark (*) is also explained in Step 3 of Section 3. Broken lines are used for data that include many artifacts.

Mentions: The FMAM sensor and recorder were described in detail in our previous studies [10, 11]. We will introduce them only briefly here (Fig 1). The recorder consists of two channels with two sensors: one to record fetal movement (FM channel), and the other to record maternal movement (MM channel). The sensors pick up capacitive acceleration changes from maternal and fetal movements. That means the sensors pick up variation fetus and mothers moved. The fetal movement sensor (FM sensor) has high output power, 720mV/m/s2, while the maternal movement sensor (MM sensor) has one-fifth the FM sensor's sensitivity (120mv/m/s2). The MM sensor is used to exclude maternal movement from the FM sensor channel. The recorder [11] uses Windows XP or Windows 7. The unit weighs 290 g.


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)

The FMAM recording-analysis system and a flow chart.The pregnant woman records fetal movement during her sleep at home. She can bring the SD data card to her medical facility or send it by the Internet. The analysis system itself is at the medical facility. The flow chart of the analysis system is explained in Section 3 of Methods. The mark (*) is also explained in Step 3 of Section 3. Broken lines are used for data that include many artifacts.
© Copyright Policy
Related In: Results  -  Collection

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

pone.0130503.g001: The FMAM recording-analysis system and a flow chart.The pregnant woman records fetal movement during her sleep at home. She can bring the SD data card to her medical facility or send it by the Internet. The analysis system itself is at the medical facility. The flow chart of the analysis system is explained in Section 3 of Methods. The mark (*) is also explained in Step 3 of Section 3. Broken lines are used for data that include many artifacts.
Mentions: The FMAM sensor and recorder were described in detail in our previous studies [10, 11]. We will introduce them only briefly here (Fig 1). The recorder consists of two channels with two sensors: one to record fetal movement (FM channel), and the other to record maternal movement (MM channel). The sensors pick up capacitive acceleration changes from maternal and fetal movements. That means the sensors pick up variation fetus and mothers moved. The fetal movement sensor (FM sensor) has high output power, 720mV/m/s2, while the maternal movement sensor (MM sensor) has one-fifth the FM sensor's sensitivity (120mv/m/s2). The MM sensor is used to exclude maternal movement from the FM sensor channel. The recorder [11] uses Windows XP or Windows 7. The unit weighs 290 g.

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