Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Laura A, Hallock"'
Autor:
Laura A. Hallock, Bhavna Sud, Chris Mitchell, Eric Hu, Fayyaz Ahamed, Akash Velu, Amanda Schwartz, Ruzena Bajcsy
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 29
Despite the utility of musculoskeletal dynamics modeling, there exists no safe, noninvasive method of measuring in vivo muscle output force in real time - limiting both biomechanical insight into dexterous motion and intuitive control of assistive de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3c1967464374ce386143ab2c7d07cb7
https://pubmed.ncbi.nlm.nih.gov/34874866
https://pubmed.ncbi.nlm.nih.gov/34874866
Publikováno v:
BioRob
Despite the utility of musculoskeletal dynamics modeling, there exists no safe, noninvasive method of measuring in vivo muscle output force in real time. In this paper, we demonstrate that muscle deformation constitutes a promising, yet unexplored cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::517785d7f5c601df4523766a4598e8c0
https://doi.org/10.1109/biorob49111.2020.9224391
https://doi.org/10.1109/biorob49111.2020.9224391
Autor:
Yonatan Nozik, Laura A. Hallock, Sai Mandava, Thomas H. Li, Ruzena Bajcsy, Chris Mitchell, Daniel Ho
Publikováno v:
EMBC
We present a novel neural-network-based pipeline for segmentation of 3D muscle and bone structures from localized 2D ultrasound data of the human arm. Building from the U-Net [1] neural network framework, we examine various data augmentation techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::909df6f3ebdd4650914c9d814e10ab09
https://pubmed.ncbi.nlm.nih.gov/31946058
https://pubmed.ncbi.nlm.nih.gov/31946058
Autor:
Atif Qasim, Mats Christian Højbjerg Lassen, Sravani Gajjala, Ruzena Bajcsy, Mandar A. Aras, Rahul C. Deo, Michelle E. Melisko, Sanjiv J. Shah, Laura A. Hallock, Lauren Beussink-Nelson, Eugene Fan, Geoffrey H. Tison, Jeffrey Zhang, Pulkit Agrawal, Kirsten E. Fleischmann, Cha Randle Jordan
Publikováno v:
Circulation. 138:1623-1635
Background: Automated cardiac image interpretation has the potential to transform clinical practice in multiple ways, including enabling serial assessment of cardiac function by nonexperts in primary care and rural settings. We hypothesized that adva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a77a925c6082a5018029a71c6ef4fb
https://doi.org/10.1161/circulationaha.118.034338
https://doi.org/10.1161/circulationaha.118.034338
Autor:
Jeffrey, Zhang, Sravani, Gajjala, Pulkit, Agrawal, Geoffrey H, Tison, Laura A, Hallock, Lauren, Beussink-Nelson, Mats H, Lassen, Eugene, Fan, Mandar A, Aras, ChaRandle, Jordan, Kirsten E, Fleischmann, Michelle, Melisko, Atif, Qasim, Sanjiv J, Shah, Ruzena, Bajcsy, Rahul C, Deo
Publikováno v:
Circulation. 138(16)
Automated cardiac image interpretation has the potential to transform clinical practice in multiple ways, including enabling serial assessment of cardiac function by nonexperts in primary care and rural settings. We hypothesized that advances in comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b5dabefde4974a176ad1ad29615c7daa
https://pubmed.ncbi.nlm.nih.gov/30908106
https://pubmed.ncbi.nlm.nih.gov/30908106
Publikováno v:
ICRA
Surface electromyography is currently the sensing modality of choice for control of biosignal-driven prostheses and exoskeletons; however, the sensor's noisy and aggregate nature inhibits collection of distinguishable signal streams to robustly manip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33da57eed5ab4c7cc747ab5d0ca51fcf
https://doi.org/10.1109/icra.2018.8462887
https://doi.org/10.1109/icra.2018.8462887
Publikováno v:
Journal of Midwifery & Women's Health. 57:241-247
Uterine leiomyomas are the most common benign gynecologic tumors. While the true etiology of leiomyomas remains unknown, their origin is thought to be multifactorial including genetic, hormonal, and tissue growth factor variations. Leiomyomas are pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::458ca074041900c88a1a3efd4fc7b93c
https://doi.org/10.1111/j.1542-2011.2012.00176.x
https://doi.org/10.1111/j.1542-2011.2012.00176.x