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Video-based neonatal state assessment method for timing of procedures.
BACKGROUND: Procedures should be performed when an infant is most receptive to disruptions in order to reduce the stress on an infant. However, frequent direct observations place a heavy burden on medical staff. Therefore, there is a need for a method of quantitatively and automatically evaluating the neonatal state.
METHODS: Ten infants in our hospital were enrolled in this study. The states of the infants were assessed by medical staff using the Brazelton Neonatal Behavioral Assessment Scale and were recorded on video at the same time. The recorded states were reclassified as activity levels, a new state classification method that includes middle activity, which is the appropriate time for a procedure. Using image analysis, motions of the infant were quantified as two indices: activity and pause time. Activity and pause time were compared for each activity level. The cutoff values of the indices were calculated, and the sensitivity and specificity of the middle activity were calculated.
RESULTS: There was a significant difference between all groups of activity level (p < 0.01). The maximum sensitivity and specificity of middle activity were 71.7% and 51.2%, respectively.
CONCLUSIONS: The neonatal state of infants can be quantitatively and automatically evaluated using video cameras, and the activity level can be used to determine an appropriate time for procedures in infants. This will reduce the burden on medical staff and lead to less stressful procedures for infants.
METHODS: Ten infants in our hospital were enrolled in this study. The states of the infants were assessed by medical staff using the Brazelton Neonatal Behavioral Assessment Scale and were recorded on video at the same time. The recorded states were reclassified as activity levels, a new state classification method that includes middle activity, which is the appropriate time for a procedure. Using image analysis, motions of the infant were quantified as two indices: activity and pause time. Activity and pause time were compared for each activity level. The cutoff values of the indices were calculated, and the sensitivity and specificity of the middle activity were calculated.
RESULTS: There was a significant difference between all groups of activity level (p < 0.01). The maximum sensitivity and specificity of middle activity were 71.7% and 51.2%, respectively.
CONCLUSIONS: The neonatal state of infants can be quantitatively and automatically evaluated using video cameras, and the activity level can be used to determine an appropriate time for procedures in infants. This will reduce the burden on medical staff and lead to less stressful procedures for infants.
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