title: Physiological Signal Monitoring Bed for Infants Based on Load-Cell Sensors.
abstract: Ballistocardiographs (BCGs), which record the mechanical activity of the heart, have been a subject of interest for several years because of their advantages in providing unobtrusive physiological measurements. BCGs could also be useful for monitoring the biological signals of infants without the need for physical confinement. In this study, we describe a physiological signal monitoring bed based on load cells and assess an algorithm to extract the heart rate and breathing rate from the measured load-cell signals. Four infants participated in a total of 13 experiments. As a reference signal, electrocardiogram and respiration signals were simultaneously measured using a commercial device. The proposed automatic algorithm then selected the optimal sensor from which to estimate the heartbeat and respiration information. The results from the load-cell sensor signals were compared with those of the reference signals, and the heartbeat and respiration information were found to have average performance errors of 2.55% and 2.66%, respectively. The experimental results verify the positive feasibility of BCG-based measurements in infants.
authors.affiliation: Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, Seoul 08826, Korea. wongyu86@snu.ac.kr.
authors.forename: Won Kyu
authors.initials: WK
authors.lastname: Lee
authors.affiliation: Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, Seoul 08826, Korea. hnyoon@bmsil.snu.ac.kr.
authors.forename: Heenam
authors.initials: H
authors.lastname: Yoon
authors.affiliation: Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, Seoul 08826, Korea. cmhan616@gmail.com.
authors.forename: Chungmin
authors.initials: C
authors.lastname: Han
authors.affiliation: Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, Seoul 08826, Korea. jkm6510@bmsil.snu.ac.kr.
authors.forename: Kwang Min
authors.initials: KM
authors.lastname: Joo
authors.affiliation: Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, Seoul 08826, Korea. pks@bmsil.snu.ac.kr.|Department of Biomedical Engineering, College of Medicine, Seoul National University, Seoul 03080, Korea. pks@bmsil.snu.ac.kr.
authors.forename: Kwang Suk
authors.initials: KS
authors.lastname: Park
mesh_terms: D001450:Ballistocardiography / Q000379:methods*; D004562:Electrocardiography / Q000295:instrumentation; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D007223:Infant; D008991:Monitoring, Physiologic / Q000379:methods*; D056152:Respiratory Rate / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted
keywords: automatic optimal sensor selection algorithm; ballistocardiographs; infants; load-cell sensor; physiological signal monitoring