Title | ||
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Mitigation of Instrument-Dependent Variability in Ballistocardiogram Morphology: Case Study on Force Plate and Customized Weighing Scale. |
Abstract | ||
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The objective of this study was to investigate the measurement instrument-dependent variability in the morphology of the ballistocardiogram (BCG) waveform in human subjects and computational methods to mitigate the variability. The BCG was measured in 22 young healthy subjects using a high-performance force plate and a customized commercial weighing scale under upright standing posture. The timing and amplitude features associated with the major I, J, K waves in the BCG waveforms were extracted and quantitatively analyzed. The results indicated that 1) the I, J, K waves associated with the weighing scale BCG exhibited delay in the timings within the cardiac cycle relative to the ECG R wave as well as attenuation in the absolute amplitudes than the respective force plate counterparts, whereas 2) the time intervals between the I, J, K waves were comparable. Then, two alternative computational methods were conceived in an attempt to mitigate the discrepancy between force plate versus weighing-scale BCG: a transfer function and an amplitude-phase correction. The results suggested that both methods effectively mitigated the discrepancy in the timings and amplitudes associated with the I, J, K waves between the force plate and weighing-scale BCG. Hence, signal processing may serve as a viable solution to the mitigation of the instrument-induced morphological variability in the BCG, thereby facilitating the standardized analysis and interpretation of the timing and amplitude features in the BCG across wide-ranging measurement platforms. |
Year | DOI | Venue |
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2020 | 10.1109/JBHI.2019.2901635 | IEEE journal of biomedical and health informatics |
Keywords | Field | DocType |
Instruments,Force,Biomedical measurement,Timing,Electrocardiography,Weight measurement,Feature extraction | Signal processing,Pattern recognition,Computer science,Waveform,Transfer function,QRS complex,Artificial intelligence,Attenuation,Cardiac cycle,Acoustics,Amplitude | Journal |
Volume | Issue | ISSN |
24 | 1 | 2168-2194 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yang Yao | 1 | 7 | 2.17 |
Zahra Ghasemi | 2 | 0 | 1.01 |
Md Mobashir Hasan Shandhi | 3 | 7 | 2.90 |
hazar ashouri | 4 | 2 | 1.47 |
Lisheng Xu | 5 | 178 | 39.09 |
Ramakrishna Mukkamala | 6 | 76 | 16.60 |
Omer T. Inan | 7 | 148 | 41.40 |
Jin-Oh Hahn | 8 | 102 | 21.28 |