Analyzing Seismocardiogram Cycles to Identify the Respiratory Phases

• Published in: IEEE transactions on biomedical engineering Vol. 64; no. 8; pp. 1786 - 1792
• Main Authors: Zakeri, Vahid, Akhbardeh, Alireza, Alamdari, Nasim, Fazel-Rezai, Reza, Paukkunen, Mikko, Tavakolian, Kouhyar
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accelerometers; Accelerometry - methods; Adult; Algorithms; Ballistocardiography - methods; Bins; Computer Simulation; Feature extraction; Frequency domain analysis; Heart; Heart diseases; Humans; Male; Models, Biological; Oscillometry - methods; Pattern Recognition, Automated - methods; Phases; Reproducibility of Results; Respiratory Mechanics - physiology; Respiratory phase identification; seismocardiogram (SCG); Sensitivity and Specificity; Sternum; Support Vector Machine; support vector machine (SVM); Support vector machines; systolic time intervals (STI); Testing; Time domain analysis; Training; Vibrations

Goal: the objective of this study was to develop a method to identify respiratory phases (i.e., inhale or exhale) of seismocardiogram (SCG) cycles. An SCG signal is obtained by placing an accelerometer on the sternum to capture cardiac vibrations. Methods: SCGs from 19 healthy subjects were collecte...