Literature DB >> 26485351

Patient-Specific Oscillometric Blood Pressure Measurement.

Jiankun Liu, Hao-Min Cheng, Chen-Huan Chen, Shih-Hsien Sung, Mohsen Moslehpour, Jin-Oh Hahn, Ramakrishna Mukkamala.   

Abstract

OBJECTIVE: Most automatic cuff blood pressure (BP) measurement devices are based on oscillometry. These devices estimate BP from the envelopes of the cuff pressure oscillations using fixed ratios. The values of the fixed ratios represent population averages, so the devices may only be accurate in subjects with normal BP levels. The objective was to develop and demonstrate the validity of a patient-specific oscillometric BP measurement method.
METHODS: The idea of the developed method was to represent the cuff pressure oscillation envelopes with a physiologic model, and then estimate the patient-specific parameters of the model, which includes BP levels, by optimally fitting it to the envelopes. The method was investigated against gold standard reference BP measurements from 57 patients with widely varying pulse pressures. A portion of the data was used to optimize the patient-specific method and a fixed-ratio method, while the remaining data were used to test these methods and a current office device.
RESULTS: The patient-specific method yielded BP root-mean-square-errors ranging from 6.0 to 9.3 mmHg. On an average, these errors were nearly 40% lower than the errors of each existing method.
CONCLUSION: The patient-specific method may improve automatic cuff BP measurement accuracy. SIGNIFICANCE: A patient-specific oscillometric BP measurement method was proposed and shown to be more accurate than the conventional method and a current device.

Entities:  

Mesh:

Year:  2015        PMID: 26485351      PMCID: PMC4907878          DOI: 10.1109/TBME.2015.2491270

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  13 in total

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8.  Model-based oscillometric blood pressure measurement: preliminary validation in humans.

Authors:  Jiankun Liu; Hao-min Cheng; Chen-Huan Chen; Shih-Hsien Sung; Jin-Oh Hahn; Ramakrishna Mukkamala
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  6 in total

1.  Patient-Specific Oscillometric Blood Pressure Measurement: Validation for Accuracy and Repeatability.

Authors:  Jiankun Liu; Hao-Min Cheng; Chen-Huan Chen; Shih-Hsien Sung; Jin-Oh Hahn; Ramakrishna Mukkamala
Journal:  IEEE J Transl Eng Health Med       Date:  2016-12-14       Impact factor: 3.316

2.  PPG Sensor Contact Pressure Should Be Taken Into Account for Cuff-Less Blood Pressure Measurement.

Authors:  Anand Chandrasekhar; Mohammad Yavarimanesh; Keerthana Natarajan; Jin-Oh Hahn; Ramakrishna Mukkamala
Journal:  IEEE Trans Biomed Eng       Date:  2020-02-28       Impact factor: 4.538

3.  A convenient method to verify the accuracy of oscillometric blood pressure monitors by the auscultatory method: A smartphone-based app.

Authors:  Zhi Zhang; Weichun Xi; Bingjiang Wang; Guang Chu; Fang Wang
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-12-20       Impact factor: 3.738

4.  Central Blood Pressure Monitoring via a Standard Automatic Arm Cuff.

Authors:  Keerthana Natarajan; Hao-Min Cheng; Jiankun Liu; Mingwu Gao; Shih-Hsien Sung; Chen-Huan Chen; Jin-Oh Hahn; Ramakrishna Mukkamala
Journal:  Sci Rep       Date:  2017-10-31       Impact factor: 4.379

5.  An iPhone Application for Blood Pressure Monitoring via the Oscillometric Finger Pressing Method.

Authors:  Anand Chandrasekhar; Keerthana Natarajan; Mohammad Yavarimanesh; Ramakrishna Mukkamala
Journal:  Sci Rep       Date:  2018-09-03       Impact factor: 4.379

6.  A Simple Adaptive Transfer Function for Deriving the Central Blood Pressure Waveform from a Radial Blood Pressure Waveform.

Authors:  Mingwu Gao; William C Rose; Barry Fetics; David A Kass; Chen-Huan Chen; Ramakrishna Mukkamala
Journal:  Sci Rep       Date:  2016-09-14       Impact factor: 4.379

  6 in total

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