Quantifying the effects of blood pressure changes on ballistocardiogram signals
dc.contributor.author | Javaid, A. Q. | en_US |
dc.contributor.author | Töreyin, Hakan | en_US |
dc.contributor.author | İnan, Ö. T. | en_US |
dc.coverage.spatial | Antalya, Turkey | |
dc.date.accessioned | 2018-04-12T11:44:59Z | |
dc.date.available | 2018-04-12T11:44:59Z | |
dc.date.issued | 2017 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 15-18 May 2017 | en_US |
dc.description | Conference Name: IEEE 25th Signal Processing and Communications Applications Conference, SIU 2017 | en_US |
dc.description.abstract | Quantifying the effects of blood pressure (BP) changes on the ballistocardiogram (BCG) signal shape and features can potentially improve the understanding of this mechanical modality of cardiovascular sensing. BCG, a measure of body movements caused by ejection of blood into the vasculature, has recently re-emerged as a promising method for trending cardiac output and myocardial contractility. Although recent research has shown that the BCG waveform has the potential to be used as a viable proximal timing reference for measuring pulse transit time (PTT) and indirectly BP, it has not been deeply explored for direct estimation of BP. In this paper, we posit that the BCG signal contains features corresponding to changes in BP. To further investigate this hypothesis, BCG waveforms were measured using a modified-weighing scale from 14 subjects performing an isometric handgrip challenge in a seated position. The energy in the latter half of the BCG heartbeat was estimated using polynomial fitting and interpolation methods. The results indicate that an increase in mean arterial pressure (MAP) or a decrease in PTT manifests itself in the form of high amplitude oscillations following the main peak (J-peak) in a BCG heartbeat, thus elucidating the mechanisms behind these oscillations and also potentially improving the breadth of data that can be sensed using BCG signals. | en_US |
dc.description.provenance | Made available in DSpace on 2018-04-12T11:44:59Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2017 | en |
dc.identifier.doi | 10.1109/SIU.2017.7960423 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/37593 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/SIU.2017.7960423 | en_US |
dc.source.title | Proceedings of the IEEE 25th Signal Processing and Communications Applications Conference, SIU 2017 | en_US |
dc.subject | Scales (weighing instruments) | en_US |
dc.subject | Interpolation method | en_US |
dc.subject | Mean arterial pressure | en_US |
dc.subject | Myocardial contractility | en_US |
dc.subject | Polynomial fittings | en_US |
dc.subject | Pulse transit time | en_US |
dc.subject | Seated positions | en_US |
dc.subject | Blood pressure | en_US |
dc.title | Quantifying the effects of blood pressure changes on ballistocardiogram signals | en_US |
dc.type | Conference Paper | en_US |
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