Results 181 to 190 of about 7,022 (221)

Limb girdle muscular dystrophy R12 (LGMD 2L, anoctaminopathy) mimicking idiopathic inflammatory myopathy: key points to prevent misdiagnosis.

Rheumatology, 2021
OBJECTIVES Diagnosing the idiopathic inflammatory myopathies (IIMs) can be challenging as several conditions, including genetic myopathies such as limb girdle muscular dystrophy type R12 (LGMD 2 l, anoctaminopathy), mimic the presentation.
Italo Marago, M. Roberts, F. Roncaroli, D. Duplessis, C. Sewry, S. Nagaraju, Faheema Limbada, C. Marini-Bettolo, J. Hudson, Siwalik Banerjee, L. Newton, M. Bukhari, H. Chinoy, J. Lilleker   +13 more
semanticscholar   +1 more source

The Limb Girdle Muscular Dystrophy Health Index (LGMD-HI)

Neuromuscular Disorders
Limb girdle muscular dystrophy (LGMD) is a debilitating disease and the fourth most common muscular dystrophy. This study describes the development of the LGMD-Health Index (LGMD-HI).
Leroy R Thacker, Chad R Heatwole, Nicholas E Johnson   +2 more
exaly   +2 more sources

Bio-Inspired Embedded Vision System for Autonomous Micro-Robots: The LGMD Case

IEEE Transactions on Cognitive and Developmental Systems, 2017
Cheng Hu, Farshad Arvin, Cai-Hua Xiong
exaly   +2 more sources

The sensitivity of exome sequencing in identifying pathogenic mutations for LGMD in the United States

Journal of Human Genetics, 2016
The current study characterizes a cohort of limb-girdle muscular dystrophy (LGMD) in the United States using whole-exome sequencing. Fifty-five families affected by LGMD were recruited using an institutionally approved protocol.
Hemakumar M Reddy, Kyung-Ah Cho, Monkol Lek   +2 more
exaly   +2 more sources

Integrated moment-based LGMD and deep reinforcement learning for UAV obstacle avoidance

IEEE International Conference on Robotics and Automation, 2020
In this paper, a bio-inspired monocular vision perception method combined with a learning-based reaction local planner for obstacle avoidance of micro UAVs is presented.
Lei He, N. Aouf, J. Whidborne, Bifeng Song   +3 more
semanticscholar   +1 more source

Theoretical modeling and simulation of AGMD and LGMD desalination processes using a composite membrane

Journal of Membrane Science, 2018
Most previous studies of air- and liquid-gap membrane distillation (AGMD and LGMD) processes using a composite membrane have been focused on an experimental approach.
Young-Deuk Kim, Woo-Seung Kim
exaly   +2 more sources

Respiratory muscle involvement in HNRNPDL LGMD D3 muscular dystrophy: an extensive clinical description of the first Italian patient

Acta myologica, 2020
Limb girdle muscular dystrophy is a genetically inherited condition that primarily affects skeletal muscle leading to progressive, predominantly proximal muscle weakness at presentation. Autosomal dominant LGMD represent 10% of all LGMDs. HNRNPDL-related
E. Malfatti, D. Cassandrini, A. Rubegni, Filippo M. Sartorelli, M. Villanova   +4 more
semanticscholar   +1 more source

Assessment of the quality of life in patients with LGMD. The case of transportinopathy

Acta myologica
The Quality of Life (QOL) is influenced by several disease-related factors, support, resources, expectations, and aspirations, within the disease-related concepts.
Corrado Angelini, Alicia Aurora Rodríguez   +1 more
semanticscholar   +1 more source

Obstacle avoidance with LGMD neuron: Towards a neuromorphic UAV implementation

International Symposium on Circuits and Systems, 2017
We present a neuromorphic adaptation of a spiking neural network model of the locust Lobula Giant Movement Detector (LGMD), which detects objects increasing in size in the field of vision (looming) and can be used to facilitate obstacle avoidance in ...
Llewyn Salt, G. Indiveri, Yulia Sandamirskaya   +2 more
semanticscholar   +1 more source

LGMD-BASED VISUAL NEURAL NETWORK FOR DETECTING CROWD ESCAPE BEHAVIOR

International Conference on Cloud Computing and Intelligence Systems, 2018
Effective detection of crowd escape behavior in public places is a challenge in computer vision. Although some studies on such detection have been done in recent years, no complete solution satisfies the current application demand.
B. Hu, Zhuhong Zhang, Lun Li
semanticscholar   +1 more source