Browsing by Author "Zhang, Lingsong"

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    Agreement Study Using Gesture Description Analysis
    (IEEE, 2020-10) Madapana, Naveen; Gonzalez, Glebys; Zhang, Lingsong; Rodgers, Richard; Wachs, Juan; Neurological Surgery, School of Medicine
    Choosing adequate gestures for touchless interfaces is a challenging task that has a direct impact on human-computer interaction. Such gestures are commonly determined by the designer, ad-hoc, rule-based or agreement-based methods. Previous approaches to assess agreement grouped the gestures into equivalence classes and ignored the integral properties that are shared between them. In this work, we propose a generalized framework that inherently incorporates the gesture descriptors into the agreement analysis (GDA). In contrast to previous approaches, we represent gestures using binary description vectors and allow them to be partially similar. In this context, we introduce a new metric referred to as Soft Agreement Rate (SAR) to measure the level of agreement and provide a mathematical justification for this metric. Further, we performed computational experiments to study the behavior of SAR and demonstrate that existing agreement metrics are a special case of our approach. Our method was evaluated and tested through a guessability study conducted with a group of neurosurgeons. Nevertheless, our formulation can be applied to any other user-elicitation study. Results show that the level of agreement obtained by SAR is 2.64 times higher than the previous metrics. Finally, we show that our approach complements the existing agreement techniques by generating an artificial lexicon based on the most agreed properties.
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    Delayed Lactogenesis II is Associated With Lower Sleep Efficiency and Greater Variation in Nightly Sleep Duration in the Third Trimester
    (Sage, 2019-06) Casey, Theresa; Sun, Hui; Burgess, Helen J.; Crodian, Jennifer; Dowden, Shelley; Cummings, Shelby; Plaut, Karen; Haas, David; Zhang, Lingsong; Ahmed, Azza; Obstetrics and Gynecology, School of Medicine
    Background: Metabolic and hormonal disturbances are associated with sleep disturbances and delayed onset of lactogenesis II. Research aims: The aim of this study was to measure sleep using wrist actigraphy during gestation weeks 22 and 32 to determine if sleep characteristics were associated with blood glucose, body mass index, gestational related disease, delayed onset of lactogenesis II, or work schedule. Methods: Demographic data were collected at study intake from primiparous women who wore a wrist actigraph during gestation weeks 22 (n = 50) and 32 (n = 44). Start and end sleep time, total nighttime sleep, sleep efficiency, wake after sleep onset, and sleep fragmentation were measured. Night to night variability was assessed with the root mean square of successive difference. Blood glucose levels, body mass index, and gestational disease data were abstracted from medical charts. Timing of lactogenesis II was determined by survey. Results: Between gestation week 22 and 32, sleep efficiency decreased and fragmentation increased (p < .05). During gestation week 32, blood glucose was negatively correlated with sleep duration, and positively related to fragmentation (p < .05). Women who experienced delayed lactogenesis II had lower sleep efficiency and greater fragmentation (p < .05), and greater night-to-night variability in sleep start and end time, efficiency, and duration during gestation week 32 (p < .05). Conclusion: Women with better sleep efficiency and more stable nightly sleep time are less likely to experience delayed onset of lactogenesis II. Interventions to improve sleep may improve maternal health and breastfeeding adequacy.
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    Factors affecting retention and compliance in a longitudinal study of connected, low income, urban, primiparous mothers
    (Office of the Vice Chancellor for Research, 2016-04-08) Beering, Amanda R.; Sun, Hui; Cummings, Shelby E.; Crodian, Jennifer S.; Dowden, Shelley D.; Zhang, Lingsong; Haas, David M.; Casey, Theresa M.; Ahmed, Azza
    Abstract Background/Aims Longitudinal obstetrics studies are vital to our understanding of the physiological and social changes that occur during pregnancy and the early postpartum period in the mother and baby. Variables collected in a longitudinal obstetrics study were analyzed to identify factors affecting retention and compliance within a low-income, primiparous population. Methods Primiparous women were recruited for a prospective cohort longitudinal study. Two study arms were used. The first collected survey data on mood, sleep, and night time eating and actigraphic data for seven days during weeks 22 and 32 of gestation and one week postpartum. The second was identical but had an additional 24 hour sampling of saliva. In addition, breast fullness surveys were administered each day for the first five days postpartum. Pick up and drop off of study materials at the research site were required for each time point. Results Ninety-two women were recruited; 45% (n=41) were retained and compliant for the entire study. The majority of subjects (88%) had daily internet access, completed surveys on-line (81.4%), and preferred to receive text messages (93.5%) for study reminders over other methods of communication. Longitudinal time (P<0.001), increased number of reminders (P<0.001), and increased length of time to complete surveys (P<0.001) had a significant negative effect on study retention, whereas enrollment in the study arm with greater sampling and communication (P<0.001) and earning a higher percentage of available compensation (P<0.001) had a significant positive effect on study retention. Conclusions The high rate of daily internet access and preference for text messaging for primary means of communication with research staff suggests a high rate of smart-device technology use among young, urban-dwelling, low-income women. Designing studies that can be completed via internet and using text message reminders may be a preferable and practical means of conducting longitudinal obstetrics studies.
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    Relationship Between Sleep Quality, Depression Symptoms, and Blood Glucose in Pregnant Women
    (Sage, 2019-09) Ahmed, Azza; Sun, Hui; Crodian, Jennifer; Plaut, Karen; Haas, David; Zhang, Lingsong; Casey, Theresa; Obstetrics and Gynecology, School of Medicine
    Sleep quality during pregnancy affects maternal/child health. We aimed to assess changes in sleep quality during pregnancy and determine its relationship to maternal mood, blood glucose, and work schedule among primiparous women. We conducted a prospective/longitudinal/observational study. Ninety-two pregnant women were recruited from Midwestern hospital. Mood and sleep quality data were collected using Edinburgh Postnatal Depression Scale/Pittsburgh Sleep Quality Index at Gestational Weeks 22 and 32. Forty-three women completed the study. Twenty-six women (63%) were African American and the mean age was 23.64 (SD = 3.82) years. Rate of poor sleep quality increased during pregnancy with 25% of women had scores indicative of depression symptoms. Poor sleep quality score was related to mood scores (p < .05) and work schedule. Blood glucose was not significantly related to sleep duration. In conclusion, poor sleep quality during pregnancy was associated with poor mood and work schedule, suggesting that interventions targeting mental health and lifestyles are needed.