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http://dx.doi.org/10.9718/JBER.2014.35.5.169

Unconstrained Estimation of Body Postures on Bed Using Polyvinylidene Fluoride Film-based Sensor  

Seo, Sangwon (Interdisciplinary Program in Bioengineering, Seoul National University)
Hwang, Su Hwan (Interdisciplinary Program in Bioengineering, Seoul National University)
Yoon, Hee Nam (Interdisciplinary Program in Bioengineering, Seoul National University)
Jung, Da Woon (Interdisciplinary Program in Bioengineering, Seoul National University)
Choi, Jae Won (Department of Neuropsychiatry and the Center for Sleep and Chronobiology, Seoul National University Hospital)
Lee, Yu Jin (Department of Neuropsychiatry and the Center for Sleep and Chronobiology, Seoul National University Hospital)
Jeong, Do-Un (Department of Neuropsychiatry and the Center for Sleep and Chronobiology, Seoul National University Hospital)
Park, Kwang Suk (Department of Biomedical Engineering, Seoul National University College of Medicine)
Publication Information
Journal of Biomedical Engineering Research / v.35, no.5, 2014 , pp. 169-176 More about this Journal
Abstract
As body postures on bed affects various sleep related diseases, it is considered as important information when monitoring sleeping in daily life. Though there have already been a few approaches to monitor body postures on bed conventionally, the development for simple and unconstrained methods is still needed to realize the long-term daily monitoring. Focusing on the fact that ballistocardiogram changes depending on the body postures on bed, we developed a novel method to estimate body posturesusing extremely simple, film-type ballistocardiogram sensor which is based on polyvinylidene fluoride(PVDF) film. With 10 subjects, we performed two experiments. One was for an estimation test to show that body postures on bed can be estimated by ballistocardiogram, and the other was for a reproducibility test to present the feasibility of ballistocardiogram based body postures monitoring. To estimate body postures on bed, we made an individual template set of body postures by designating one ballistocardiogram (BCG) sample as a template in each postures. Then, we calculated Pearson's correlation coefficients between a sample and each templates and estimated the body posture of the sample by choosing a posture which corresponds to the most significant correlation coefficients. As a result, we estimated body postures on bed with 99.2% accuracy in average and found that the estimation using ballistocardiogram is reproducible.
Keywords
Ballistocardiogram; sleeping position; PVDF film sensor;
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