Results 71 to 80 of about 1,264,524 (365)

Systematic review of smart health monitoring using deep learning and Artificial intelligence

Neuroscience Informatics, 2022
In the rapidly growing world of technology and evolution, the outbreak and emergences diseases have become a critical issue. Precaution, prevention and controlling the diseases by technology has become the major challenge for healthcare professionals and
A.V.L.N. Sujith, Guna Sekhar Sajja, V. Mahalakshmi, Shibili Nuhmani, B. Prasanalakshmi   +4 more
doaj   +1 more source

Treatment of multidrug-resistant tuberculosis in a remote, conflict-affected area of the Democratic Republic of Congo. [PDF]

, 2012
The Democratic Republic of Congo is a high-burden country for multidrug-resistant tuberculosis. Médecins Sans Frontières has supported the Ministry of Health in the conflict-affected region of Shabunda since 1997.
Bartlett, S, Maneno, M, Masumbuko, E W, Ngoy, N M, Shah, T, Shanks, L, Thi, S S   +6 more
core   +2 more sources

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

Photoplethysmography based remote health monitoring system [PDF]

2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 2013
One of the world's most leading killer diseases is the cardiovascular disease, which accounts for 16.7 million deaths annually. Out of the total population in the world, about 22 million people run the risk of sudden heart failure. However, saving the lives of cardiac patients can be improved by the emergency monitoring so that the initiation of ...
Malek A. Harbawi, Muhammad I. Ibrahimy, S. M. A. Motakabber   +2 more
openaire   +1 more source

Towards remote monitoring and remotely supervised training [PDF]

, 2008
The growing number of elderly and people with chronic disorders in our western society puts such pressure on our healthcare system that innovative approaches are demanded to make our health care more effective and more efficient. One way of innovation of
Hermens, Hermie J.
core   +1 more source

Structural health monitoring for wind turbine foundations [PDF]

, 2013
The construction of onshore wind turbines has rapidly been increasing as the UK attempts to meet its renewable energy targets. As the UK’s future energy depends more on wind farms, safety and security are critical to the success of this renewable energy ...
Christos Tachtatzis, DECC (Department of Energy and Climate Change), Francis Quail, Magnus Currie, Mohamed Saafi, Tavner P   +5 more
core   +1 more source

Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu, Talia Robinson, Marina Rodriguez Alonso, Adela Francis Malave, Roos J. Jutten, Michael J. Properzi, Brian C. Healy, Jackson C. Thompson, Grace Del Carmen Montenegro, Emma Thibault, Dana Penney, Randall Davis, Reisa A. Sperling, Kathryn V. Papp, Keith A. Johnson, Julie C. Price, Dorene M. Rentz   +16 more
wiley   +1 more source

Vehicle Remote Health Monitoring and Prognostic Maintenance System

Journal of Advanced Transportation, 2018
In many industries inclusive of automotive vehicle industry, predictive maintenance has become more important. It is hard to diagnose failure in advance in the vehicle industry because of the limited availability of sensors and some of the designing ...
Uferah Shafi, Asad Safi, Ahmad Raza Shahid, Sheikh Ziauddin, Muhammad Qaiser Saleem   +4 more
doaj   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Identifying professionals' needs in integrating electronic pain monitoring in community palliative care services: an interview study [PDF]

, 2017
Background: Poor pain assessment is a barrier to effective pain control. There is growing interest internationally in the development and implementation of remote monitoring technologies to enhance assessment in cancer and chronic disease contexts ...
Allsop, MJ, Bekker, H, Bennett, MI, Bewick, B, Taylor, S   +4 more
core   +1 more source