Pulse interval modulation-based method to extract the respiratory rate from oscillometric cuff pressure waveform during blood pressure measurement

Gui, Yihan and Chen, Fei and Murray, Alan and Zheng, Dingchang (2017) Pulse interval modulation-based method to extract the respiratory rate from oscillometric cuff pressure waveform during blood pressure measurement. In: Computing in Cardiology 2017, Rennes, France.

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Official URL: http://dx.doi.org/10.22489/CinC.2017.326-252

Abstract

Respiratory frequency has been extensively used to assess health status. This study aimed to evaluate two methods of extracting the respiratory rate from oscillometric cuff pressure pulses (OscP) during blood pressure (BP) measurement, which was compared with reference respiration signal (Resp). OscP and Resp were simultaneously recorded on 20 healthy subjects during the linear cuff deflation period of BP measurement. Reference Resp was obtained from a chest magnetometer and OscP from an electronic pressure sensor connected to the cuff. Two de-modulation methods were developed by using the peak or valley positions of the OscP waveform to measure pulse intervals, from which the respiration modulation signal was derived. Statistical analysis showed that, in comparison with the Resp, there was no significant difference (-0.001 Hz for the peak-based method, and 0.001 Hz for valley-based method), and their corresponding limits of agreement were -0.08 Hz to 0.08 Hz and -0.10 Hz to 0.11 Hz, respectively. There was also a high correlation between Resp and respiratory frequencies extracted from OscP waveform, with the correlation coefficients of 0.7 for both methods. In conclusion, the present work demonstrated that, during BP measurement, respiratory frequency can be accurately derived from using either peak or valley point to characterize pulse intervals.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2017 IEEE
Keywords: cardiology, computing
Faculty: Faculty of Medical Science
SWORD Depositor: Symplectic User
Depositing User: Symplectic User
Date Deposited: 16 Aug 2018 12:51
Last Modified: 29 Oct 2018 16:25
URI: http://arro.anglia.ac.uk/id/eprint/703482

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