Results 31 to 40 of about 215,660 (267)

Smartphone-based Anterior Segment Imaging: A Comparative Diagnostic Accuracy Study of a Potential Tool for Blindness Prevalence Surveys [PDF]

, 2022
To determine if smartphone photography could be a useful adjunct to blindness prevalence surveys by providing an accurate diagnosis of corneal opacity. A total of 174 patients with infectious keratitis who had undergone corneal culturing over the past 5 ...
Lietman, Thomas, Stevens, Valerie, Ferhina S. Ali (13843392), Daniel A. Fletcher (7871273), Bhandari, Sadhan, Ali, Ferhina, Bhandari, Gopal, Maamari, Robi, Thomas M. Lietman (7252595), Valerie M. Stevens (13843395), Gopal Bhandari (13843398), Kumar, Ashish, Muthiah Srinivasan (5166698), Jeremy D. Keenan (7164866), Sadhan Bhandari (13843401), Srinivasan, Muthiah, Lalitha, Prajna, N. Venkatesh Prajna (5166695), Jason S. Melo (3154608), Fletcher, Daniel, Prajna Lalitha (104593), Venkatesh Prajna, N, Robi N. Maamari (13843404), Ashish Kumar (152984), Keenan, Jeremy, Melo, Jason   +25 more
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On attitude estimation with smartphones [PDF]

2017 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2017
We investigate the precision of attitude estimation algorithms in the particular context of pedestrian navigation with commodity smartphones and their inertial/magnetic sensors. We report on an extensive comparison and experimental analysis of existing algorithms. We focus on typical motions of smartphones when carried by pedestrians.
Michel, Thibaud, Genevès, Pierre, Fourati, Hassen, Layaïda, Nabil   +3 more
openaire   +2 more sources

Problematic Internet Use in Frontotemporal Dementia: A Case Series

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The present study investigated problematic internet use (PIU) among 61 patients with frontotemporal dementia (FTD) compared to a cohort of 354 patients with mild cognitive impairment (MCI) and Alzheimer's dementia. PIU was identified in 22.9% of FTD patients compared to only 0.8% of AD patients (p < 0.001). Behaviors included compulsive social
Daniele Urso, Giuseppe Volpe, Agnese Valguarnera, Davide Vilella, Alessandra Vitulli, Valentina Gnoni, Alessia Giugno, Eleonora Rollo, Mark D. Griffiths, Giancarlo Logroscino   +9 more
wiley   +1 more source

Smartphone Sensor vs Photogrammetry for Gait Analysis [PDF]

, 2019
Research has shown a remarkable growth in the use of smartphone and apps in the human movements. Accelerometer sensor within smartphone can be used to detect human movements and gait characteristics.
Albert K. Chong, Ammar Majeed, Chong, Albert K., Mustafa N. Mnati, Mnati, Mustafa N., Majeed, Ammar   +5 more
core   +1 more source

Drawing Graphs on a Smartphone [PDF]

Journal of Graph Algorithms and Applications, 2011
Summary: We present a system for the visualization of information modeled in terms of a graph on a smartphone. First, we show the adopted visualization paradigm, that allows the user to navigate the graph using a focus-based approach. Second, we tackle the algorithmic challenges posed by the new visualization paradigm, introducing and experimenting ...
Giordano Da Lozzo, Giuseppe Di Battista, Francesco Ingrassia   +2 more
openaire   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Smartphone Use Patterns of Smartphone-dependent Children [PDF]

Child Health Nursing Research, 2020
Purpose: The purpose of this study was to identify the smartphone use patterns of smartphone-dependent children.Methods: The study design was a cross-sectional descriptive study. The data were derived from the 2017 survey on smartphone overdependence conducted by the Ministry of Science and ICT and the National Information Society Agency.
openaire   +3 more sources

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

3D‐Printable, Biodegradable, and Conductive/Piezoionic Hydrogel ‘E‐Skin’ With Robust Antibacterial Properties for Wound Healing and Wireless Human‐Machine Interface Sensing

Advanced Functional Materials, EarlyView.
A multifunctional MXene‐integrated GelMA/alginate hydrogel reinforced with TEMPO‐modified nanocellulose is engineered via dynamic covalent, ionic, and hydrogen bonding. The resulting piezoelectric, adhesive, antimicrobial, and 3D‐printable patch enables motion sensing and accelerates wound healing by promoting keratinocyte migration and collagen ...
Myoungjoon Jeon, Sayan Deb Dutta, Md. Moniruzzaman, Jeong Man An, Youjin Seol, Gyuhan Son, Sung Ha Jo, Hyun Chang Jung, Beom‐Soo Shin, Jongsung Kim, Yong‐kyu Lee, Ki‐Taek Lim   +11 more
wiley   +1 more source

Smartphones and tablets: take-up and use in Australia [PDF]

, 2013
Almost half of Australia’s adult population now own a smartphone. Take-up soared by 104 per cent to 8.67 million units over the 12 months to May 2012, according to research released today by the Australian Communications and Media Authority.

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