Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/13539
Title: A New Method for Diaphragmatic Maximum Relaxation Rate Ultrasonographic Measurement in the Assessment of Patients With Diaphragmatic Dysfunction
Authors: Loizou, Christos P. 
Matamis, Dimitrios 
Minas, Giorgos 
Kyprianou, Theodoros 
Loizou, Christakis D. 
Soilemezi, Eleni 
Kotco, Entela 
Pattichis, Constantinos S. 
Keywords: Diaphragmatic muscle;Diaphragmatic motion analysis;Diaphragmatic ultrasound;Maximum relaxation rate (MRR)
Category: Computer and Information Sciences;Electrical Engineering - Electronic Engineering - Information Engineering
Field: Natural Sciences;Engineering and Technology
Issue Date: 11-Oct-2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: IEEE Journal of Translational Engineering in Health and Medicine, 2018, vol. 6
Journal: IEEE Journal of Translational Engineering in Health and Medicine 
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.
ISSN: 2168-2372
DOI: 10.1109/JTEHM.2018.2868671
Rights: © 2018 IEEE
Type: Article
Appears in Collections:Άρθρα/Articles

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