| Literature DB >> 30405978 |
Rohan Joshi1,2,3, Bart L Bierling1, Xi Long3,4, Janna Weijers5, Loe Feijs1, Carola Van Pul2,6, Peter Andriessen5.
Abstract
Continuously monitoring body movement in preterm infants can have important clinical applications since changes in movement-patterns can be a significant marker for clinical deteriorations including the onset of sepsis, seizures, and apneas. This paper proposes a system and method to monitor body movement of preterm infants in a clinical environment using ballistography. The ballistographic signal (BSG) is acquired using a thin and a film-like sensor that is placed underneath an infant. Manual annotations based on video-recordings served as a reference standard for identifying movement. We investigated the performance of multiple features, constructed from the BSG waveform, to discriminate movement from no movement based on data acquired from 10 preterm infants. Since routine cardiorespiratory monitoring is prone to movement artifacts, we also compared the application of these features on the simultaneously acquired cardiorespiratory waveforms, i.e., the electrocardiogram, the chest impedance, and the photoplethysmogram. The BSG-based-features consistently outperformed those based on the routinely acquired cardiorespiratory waveforms. The best performing BSG-based feature-the signal instability index-had a mean (standard deviation) effect size of 0.90 (0.06), as measured by the area under the receiver operating curve. The proposed system for monitoring body movement is robust to noise, non-obtrusive, and has high performance in clinical settings.Entities:
Keywords: Ballistography; body movement; neonates; patient monitoring; statistical signal processing
Year: 2018 PMID: 30405978 PMCID: PMC6204923 DOI: 10.1109/JTEHM.2018.2875703
Source DB: PubMed Journal: IEEE J Transl Eng Health Med ISSN: 2168-2372 Impact factor: 3.316