Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Kristina Daunoravičienė"'
Autor:
Kristina Daunoraviciene, Jurgita Ziziene, Jolanta Pauk, Giedre Juskeniene, Juozas Raistenskis
Publikováno v:
Sensors, Vol 21, Iss 17, p 5983 (2021)
The purpose of this study was to examine the changes in muscular activity between the left and right lower legs during gait in healthy children throughout temporal parameters of EMG and symmetry index (SI). A total of 17 healthy children (age: 8.06
Externí odkaz:
https://doaj.org/article/e2d290336d9a447fb06b71bb31fa40c9
Autor:
Vilma Beleskiene, Eugenijus Lesinskas, Vaida Januskiene, Kristina Daunoraviciene, Darius Rauba, Justinas Ivaska
Publikováno v:
Clinical and Experimental Otorhinolaryngology, Vol 9, Iss 2, Pp 116-122 (2016)
Objectives The aim of this study was to establish the rate variation of sonotubometric measurements using a specific broadband class of signals, the so-called perfect sequences (PSEQ) among healthy adults and to identify an optimal and technically si
Externí odkaz:
https://doaj.org/article/a25958f246214e6790f42aef0a4a6c1a
Autor:
Karolis Senvaitis, Aušra Adomavičienė, Alina Tomaševič, Radvilė Kernagytė, Ada Petrauskaitė, Kristina Daunoravičienė
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 8076 (2024)
This study includes an ergonomic evaluation of patient lifting motion performed by healthcare specialists. This analysis focuses on the neck, shoulder, and elbow, as these are statistically significant areas with insufficient research data. Data coll
Externí odkaz:
https://doaj.org/article/750f448007d347e0975db17500e926aa
Autor:
Aušra Adomavičienė, Kristina Daunoravičienė, Girūta Kazakevičiūtė-Januškevičienė, Romualdas Baušys
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0296984 (2024)
BackgroundToday's rehabilitation decision-making still relies on conventional methods and different specific targeted rehabilitation protocols. Our study focuses on the decision support system for early rehabilitation after rotator cuff (RC) tears re
Externí odkaz:
https://doaj.org/article/b697fd47c84e4a4db69a38c00f8a97eb
Autor:
Marta Borowska, Paweł Lipowicz, Kristina Daunoravičienė, Bernard Turek, Tomasz Jasiński, Jolanta Pauk, Małgorzata Domino
Publikováno v:
Sensors, Vol 24, Iss 11, p 3538 (2024)
The paranasal sinuses, a bilaterally symmetrical system of eight air-filled cavities, represent one of the most complex parts of the equine body. This study aimed to extract morphometric measures from computed tomography (CT) images of the equine hea
Externí odkaz:
https://doaj.org/article/aa2ee31cd8754c74ae6191c9f954537d
Publikováno v:
Machines, Vol 11, Iss 5, p 556 (2023)
As musculoskeletal modeling improves, the possibilities of calculating more diverse parameters or performing specific motion analyses increase. However, customization might require a different approach that is not offered by the original software or
Externí odkaz:
https://doaj.org/article/d62b217c27984c29a9dc2666b66afc42
Autor:
Aušra Adomavičienė, Kristina Daunoravičienė, Rusnė Šidlauskaitė, Julius Griškevičius, Raimondas Kubilius, Lina Varžaitytė, Juozas Raistenskis
Publikováno v:
Medicina, Vol 57, Iss 7, p 715 (2021)
Background: Rotator cuff tears are common causes of functional shoulder instability and often lead to arthroscopic rotator cuff repair. A well-programmed rehabilitation leads to successful tendon healing, positive functional recovery and subjective w
Externí odkaz:
https://doaj.org/article/f5bb4a4cb816492b91b0f7891bc33bb6
Autor:
Aušra Adomavičienė, Kristina Daunoravičienė, Raimondas Kubilius, Lina Varžaitytė, Juozas Raistenskis
Publikováno v:
Medicina, Vol 55, Iss 4, p 98 (2019)
Background: New technologies to improve post-stroke rehabilitation outcomes are of great interest and have a positive impact on functional, motor, and cognitive recovery. Identifying the most effective rehabilitation intervention is a recognized prio
Externí odkaz:
https://doaj.org/article/8e0f1cea005e40cc90e4da4cd6d3c4f9
Publikováno v:
Sensors; Volume 22; Issue 20; Pages: 7825
(1) Background: Significant advances in digital modelling worldwide have been attributed to the practical application of digital musculoskeletal (MS) models in clinical practice. However, the vast majority of MS models are designed to assess adults
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb8206810ba8202e972698a67dd33a95
Autor:
Aušra Adomavičienė, Rytis Maskeliūnas, Robertas Damaševičius, Julius Griškevičius, Jurgita Žižienė, Donatas Lukšys, Kristina Daunoravičienė, Audrius Kulikajevas
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030869755
ICCSA (5)
ICCSA (5)
There still exists a knowledge gap in the field of computer vision in respect of posture prediction and deviation evaluation is an important metric for various medical applications, that require posture abnormality quantization. Our paper proposes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1aa78dfcd9aeb2207cb593ff83c28bfd
https://doi.org/10.1007/978-3-030-86976-2_7
https://doi.org/10.1007/978-3-030-86976-2_7
