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A New Method for Diaphragmatic Maximum Relaxation Rate Ultrasonographic Measurement in the Assessment of Patients With Diaphragmatic Dysfunction

Published on Jan 1, 2018in IEEE Journal of Translational Engineering in Health and Medicine
· DOI :10.1109/jtehm.2018.2868671
Chritos P. Loizou18
Estimated H-index: 18
(CUT: Cyprus University of Technology),
Dimitrios Matamis15
Estimated H-index: 15
+ 5 AuthorsConstantinos S. Pattichis34
Estimated H-index: 34
(UCY: University of Cyprus)
Abstract
Measurements of ultrasound diaphragmatic motion, amplitude, force, and velocity of contraction may provide important and essential information about diaphragmatic fatigue, weakness, or paralysis. In this paper, we propose and evaluate a semi-automated analysis system for measuring the diaphragmatic motion and estimating the maximum relaxation rate (MRR_SAUS) from ultrasound M-mode images of the diaphragmatic muscle. The system was evaluated on 27 M-mode ultrasound images of the diaphragmatic muscle [20 with no resistance (NRES) and 7 with resistance (RES)]. We computed semi-automated ultrasound MRR measurements on all NRES/RES images, using the proposed system (MRR_SAUS = 3.94 ± 0.91/4.98 ± 1.98 [1/s]), and compared them with the manual measurements made by a clinical expert (MRR_MUS = 2.36 ± 1.19/5.8 ± 2.1 [1/s],) and those made by a reference manual method (MRR_MB = 3.93 ± 0.89/3.73 ± 0.52 [1/sec], performed manually with the Biopac system. MRR_SAUS and MRR_MB measurements were not statistically significantly different for NRES and RES subjects but were significantly different with the MRR-MUS measurements made by the clinical expert. It is anticipated that the proposed system might be used in the future in the clinical practice in the assessment and follow up of patients with diaphragmatic weakness or paralysis. It may thus potentially help to understand post-operative pulmonary dysfunction or weaning failure from mechanical ventilation. Further validation and additional experimentation in a larger sample of images and different patient groups is required for further validating the proposed system.
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#1Christakis D. Loizou (CUT: Cyprus University of Technology)H-Index: 2
#2Chritos P. Loizou (CUT: Cyprus University of Technology)H-Index: 18
Last.Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 34
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Aug 1, 2015 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Charalambos Chrysostomou (UTH: University of Thessaly)H-Index: 6
#2Christakis D. Loizou (CUT: Cyprus University of Technology)H-Index: 2
Last.Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 34
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#1Ernest DiNino (Memorial Hospital of Rhode Island)H-Index: 3
#2Eric Gartman (Memorial Hospital of Rhode Island)H-Index: 9
Last.Franklin D. McCool (Memorial Hospital of Rhode Island)H-Index: 1
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