Literature DB >> 9210815

Comparison of impedance and inductance ventilation sensors on adults during breathing, motion, and simulated airway obstruction.

K P Cohen1, W M Ladd, D M Beams, W S Sheers, R G Radwin, W J Tompkins, J G Webster.   

Abstract

The goal of this study was to compare the relative performance of two noninvasive ventilation sensing technologies on adults during artifacts. We recorded changes in transthoracic impedance and cross-sectional area of the abdomen (abd) and rib cage (rc) using impedance pneumography (IP) and respiratory inductance plethysmography (RIP) on ten adult subjects during natural breathing, motion artifact, simulated airway obstruction, yawning, snoring, apnea, and coughing. We used a pneumotachometer to measure air flow and tidal volume as the standard. We calibrated all sensors during natural breathing, and performed measurements during all maneuvers without changing the calibration parameters. No sensor provided the most-accurate measure of tidal volume for all maneuvers. Overall, the combination of inductance sensors [RIP(sum)] calibrated during an isovolume maneuver had a bias (weighted mean difference) as low or lower than all individual sensors and all combinations of sensors. The IP(rc) sensor had a bias as low or lower than any individual sensor. The cross-correlation coefficient between sensors was high during natural breathing, but decreased during artifacts. The cross correlation between sensor pairs was lower during artifacts without breathing than it was during maneuvers with breathing for four different sensor combinations. We tested a simple breath-detection algorithm on all sensors and found that RIP(sum) resulted in the fewest number of false breath detections, with sensitivity of 90.8% and positive predictivity of 93.6%.

Entities:  

Mesh:

Year:  1997        PMID: 9210815     DOI: 10.1109/10.594896

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


  16 in total

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Journal:  Med Biol Eng Comput       Date:  2003-07       Impact factor: 2.602

Review 2.  Journal of Clinical Monitoring and Computing 2015 end of year summary: respiration.

Authors:  D S Karbing; S E Rees; M B Jaffe
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3.  Validation of a polyvinylidene fluoride impedance sensor for respiratory event classification during polysomnography.

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Journal:  J Clin Monit Comput       Date:  2015-01-23       Impact factor: 2.502

5.  Breathing is good.

Authors:  Michael Ramsay
Journal:  J Clin Monit Comput       Date:  2015-04       Impact factor: 2.502

6.  Adaptive motion artefact reduction in respiration and ECG signals for wearable healthcare monitoring systems.

Authors:  Zhengbo Zhang; Ikaro Silva; Dalei Wu; Jiewen Zheng; Hao Wu; Weidong Wang
Journal:  Med Biol Eng Comput       Date:  2014-10-02       Impact factor: 2.602

7.  New concept using Passive Infrared (PIR) technology for a contactless detection of breathing movement: a pilot study involving a cohort of 169 adult patients.

Authors:  V Hers; D Corbugy; I Joslet; P Hermant; J Demarteau; B Delhougne; G Vandermoten; J P Hermanne
Journal:  J Clin Monit Comput       Date:  2013-04-03       Impact factor: 2.502

8.  Postoperative desaturation and bradypnea after general anesthesia in non-ICU patients: a retrospective evaluation.

Authors:  Masashi Ishikawa; Atsuhiro Sakamoto
Journal:  J Clin Monit Comput       Date:  2019-03-02       Impact factor: 2.502

9.  Tissue artifact removal from respiratory signals based on empirical mode decomposition.

Authors:  Shaopeng Liu; Robert X Gao; Dinesh John; John Staudenmayer; Patty Freedson
Journal:  Ann Biomed Eng       Date:  2013-01-17       Impact factor: 3.934

10.  Polyvinylidene fluoride film based nasal sensor to monitor human respiration pattern: an initial clinical study.

Authors:  G Roopa Manjunatha; K Rajanna; D Roy Mahapatra; M M Nayak; Uma Maheswari Krishnaswamy; R Srinivasa
Journal:  J Clin Monit Comput       Date:  2013-06-16       Impact factor: 2.502

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