Zobrazeno 1 - 10
of 749
pro vyhledávání: ''
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 508-519 (2024)
Objective: This research aims to extract human gait parameters from floor vibrations. The proposed approach provides an innovative methodology on occupant activity, contributing to a broader understanding of how human movements interact within their
Externí odkaz:
https://doaj.org/article/4dc415d6327d4c9a934ca0fbb19c5294
Autor:
Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul, Phattarapong Sawangjai, Peti Thuwajit, Paisarn Boonsakan, Supasan Sripodok, Kanyakorn Veerakanjana, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Sumeth Yuenyong, Chanitra Thuwajit, Theerawit Wilaiprasitporn
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 514-523 (2024)
Background: Deep learning models for patch classification in whole-slide images (WSIs) have shown promise in assisting follicular lymphoma grading. However, these models often require pathologists to identify centroblasts and manually provide refined
Externí odkaz:
https://doaj.org/article/0c94c612c58b45a59a13709fb48791dd
Autor:
Sabrina Zumbo, Stefano Mandija, Ettore F. Meliado, Peter Stijnman, Thierry G. Meerbothe, Cornelis A.T. van den Berg, Tommaso Isernia, Martina T. Bevacqua
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 505-513 (2024)
Magnetic Resonance imaging based Electrical Properties Tomography (MR-EPT) is a non-invasive technique that measures the electrical properties (EPs) of biological tissues. In this work, we present and numerically investigate the performance of an unr
Externí odkaz:
https://doaj.org/article/b2bccd4ee1b74e24a32c9dbc86bac947
Autor:
A. Scotland, G. Cosne, A. Juraver, A. Karatsidis, J. Penalver-Andres, E. Bartholome, C. M. Kanzler, C. Mazza, D. Roggen, C. Hinchliffe, S. Del Din, S. Belachew
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 494-497 (2024)
Goal: This paper introduces DISPEL, a Python framework to facilitate development of sensor-derived measures (SDMs) from data collected with digital health technologies in the context of therapeutic development for neurodegenerative diseases. Methods:
Externí odkaz:
https://doaj.org/article/bdf54615385840dc83608c9415584320
Autor:
Sofia Poletto, Emanuela Zannin, Emanuele Ghilotti, Giovanni Putoto, Jerry Ichto, Peter Lochoro, Moses Obizu, Samuel Okori, Matteo Corno, Raffaele L Dellaca
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 498-504 (2024)
Goal: To develop and validatea novel neonatal non-invasive respiratory support device prototype designed to operate in low-resource settings. Methods: The device integrates a blower-based ventilator and a portable oxygen concentrator. A novel control
Externí odkaz:
https://doaj.org/article/dab89abad9f74073a2d547be1636e6d9
Autor:
Simar P. Singh, Amir Mehdi Shayan, Jianxin Gao, Joseph Bible, Richard E. Groff, Ravikiran Singapogu
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 485-493 (2024)
Goal: Vascular surgical procedures are challenging and require proficient suturing skills. To develop these skills, medical training simulators with objective feedback for formative assessment are gaining popularity. As hardware advancements offer mo
Externí odkaz:
https://doaj.org/article/de9b994ae7f547d18b533038d6e12df5
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 396-403 (2024)
Goal: As an essential human-machine interactive task, emotion recognition has become an emerging area over the decades. Although previous attempts to classify emotions have achieved high performance, several challenges remain open: 1) How to effectiv
Externí odkaz:
https://doaj.org/article/4d724c47499a483da4d4393346854a3f
Autor:
Sofia Basha, Mohammad Khorasani, Nihal Abdurahiman, Jhasketan Padhan, Victor Baez, Abdulla Al-Ansari, Panagiotis Tsiamyrtzis, Aaron T. Becker, Nikhil V. Navkar
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 499-507 (2024)
Objective: Variable-view rigid scopes offer advantages compared to traditional angled laparoscopes for examining a diagnostic site. However, altering the scope’s view requires a high level of dexterity and understanding of spatial orientation. This
Externí odkaz:
https://doaj.org/article/5e24137e69d244e98aed0f5dd5825ab4
Autor:
Andrea Cafarelli, Angela Sorriento, Giorgia Marola, Denise Amram, Fabien Rabusseau, Herve Locteau, Paolo Cabras, Erik Dumont, Sam Nakhaei, Ake Jernberger, Par Bergsten, Paolo Spinnato, Alessandro Russo, Leonardo Ricotti
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 476-484 (2024)
Goal: To evaluate the usability of different technologies designed for a remote assessment of knee osteoarthritis. Methods: We recruited eleven patients affected by mild or moderate knee osteoarthritis, eleven caregivers, and eleven clinicians to ass
Externí odkaz:
https://doaj.org/article/993c646b55194fc9978c945da8efb0be
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 404-420 (2024)
Goal: Augment a small, imbalanced, wound dataset by using semi-supervised learning with a secondary dataset. Then utilize the augmented wound dataset for deep learning-based wound assessment. Methods: The clinically-validated Photographic Wound Asses
Externí odkaz:
https://doaj.org/article/0dd534e396e0400a8669feb4673feb1a