ORCID Profile
0000-0002-5864-4840
Current Organisation
University of Oxford
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Publisher: IEEE
Date: 11-2013
Publisher: IEEE
Date: 06-2012
Publisher: World Scientific Pub Co Pte Lt
Date: 06-2015
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 11-2014
Publisher: IEEE
Date: 10-2015
Publisher: IEEE
Date: 11-2014
Publisher: IEEE
Date: 10-2015
Publisher: Oxford University Press (OUP)
Date: 23-10-2017
DOI: 10.1093/PTJ/PZX103
Abstract: The IDEAL framework is an established method for initial and ongoing evaluations of innovation and practice for complex health care interventions. First derived for surgical sciences and embedded at a global level for evaluating surgery/surgical devices, the IDEAL framework is based on the principle that innovation and evaluation in clinical practice can, and should, evolve together in an ordered manner: from conception to development and then to validation by appropriate clinical studies and, finally, longer-term follow-up. This framework is highly suited to other complex, nonpharmacological interventions, such as physical therapist interventions. This perspective outlines the application of IDEAL to physical therapy in the new IDEAL-Physio framework. The IDEAL-Physio framework comprises 5 stages. In stage 1, the idea phase, formal data collection should begin. Stage 2a is the phase for iterative improvement and adjustment with thorough data recording. Stage 2b involves the onset of formal evaluation using systematically collected group or cohort data. Stage 3 is the phase for formal comparative assessment of treatment, usually involving randomized studies. Stage 4 involves long-term follow-up. The IDEAL-Physio framework is recommended as a method for guiding and evaluating both innovation and practice in physical therapy, with the overall goal of providing better evidence-based care.
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 02-2019
Publisher: Springer Science and Business Media LLC
Date: 04-04-2016
DOI: 10.1007/S13246-016-0438-X
Abstract: Memory plays an important role in human life. Memory can be ided into two categories, i.e., long term memory and short term memory (STM). STM or working memory (WM) stores information for a short span of time and it is used for information manipulations and fast response activities. WM is generally involved in the higher cognitive functions of the brain. Different studies have been carried out by researchers to understand the WM process. Most of these studies were based on neuroimaging modalities like fMRI, EEG, MEG etc., which use standalone processes. Each neuroimaging modality has some pros and cons. For ex le, EEG gives high temporal resolution but poor spatial resolution. On the other hand, the fMRI results have a high spatial resolution but poor temporal resolution. For a more in depth understanding and insight of what is happening inside the human brain during the WM process or during cognitive tasks, high spatial as well as high temporal resolution is desirable. Over the past decade, researchers have been working to combine different modalities to achieve a high spatial and temporal resolution at the same time. Developments of MRI compatible EEG equipment in recent times have enabled researchers to combine EEG-fMRI successfully. The research publications in simultaneous EEG-fMRI have been increasing tremendously. This review is focused on the WM research involving simultaneous EEG-fMRI data acquisition and analysis. We have covered the simultaneous EEG-fMRI application in WM and data processing. Also, it adds to potential fusion methods which can be used for simultaneous EEG-fMRI for WM and cognitive tasks.
Publisher: IEEE
Date: 08-2015
Publisher: IEEE
Date: 05-2015
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Allison Hirst.