Automatic detection of motion artifacts in the ballistocardiogram measured on a modified bathroom scale

作者：Wiard Richard M^*; Inan Omer T; Argyres Brian; Etemadi Mozziyar; Kovacs Gregory T A; Giovangrandi Laurent

来源：MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2011, 49(2): 213-220.

DOI：10.1007/s11517-010-0722-y

• Ballistocardiography
• Cardiac output
• Contractility
• Heart failure
• Cardiovascular monitoring
• Signal processing
• Noise identification

Ballistocardiography (BCG) is a non-invasive technique used to measure the ejection force of blood into the aorta which can be used to estimate cardiac output and contractility change. In this work, a noise sensor was embedded in a BCG measurement system to detect excessive motion from standing subjects. For nine healthy subjects, the cross-correlation of the motion signal to the BCG noise-estimated using a simultaneously acquired electrocardiogram and statistics of the BCG signal-was found to be 0.94 and 0.87, during periods of standing still and with induced motion artifacts, respectively. In a separate study, where 35 recordings were taken from seven subjects, a threshold-based algorithm was used to flag motion-corrupted segments of the BCG signal using only the auxiliary motion sensor. Removing these flagged segments enhanced the BCG signal-to-noise ratio (SNR) by an average of 14 dB (P < 0.001). This integrated motion-sensing technique addresses a gap in methods available to identify and remove noise in standing BCG recordings due to movement, in a practical manner that does not require user intervention or obtrusive sensing.

• 出版日期2011-2