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|Title:||A New Method for Diaphragmatic Maximum Relaxation Rate Ultrasonographic Measurement in the Assessment of Patients With Diaphragmatic Dysfunction||Authors:||Loizou, Christos P.
Loizou, Christakis D.
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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