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Prediction of stroke-related diagnostic and prognostic measures using robot-based evaluation
2013
2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR)
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We show the suitability of these two methods for prediction of both diagnostic and prognostic scores. ...
robot-based metrics. ...
Modeling and Performance Evaluation FOS, PCI, and LR were used to model and predict all seven diagnostic and prognostic measures. ...
doi:10.1109/icorr.2013.6650457
pmid:24187274
dblp:conf/icorr/MostafaviGDSM13
fatcat:fbeohv6zvrgathp6b4oqnqczii
Technological Advances in Instrumental Assessment in Rehabilitation
2015
BioMed Research International
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Robotic devices and passive instrumented orthoses have been proposed to assess upper limb patients affected by stroke. ...
In rehabilitation, high-technology assessment tools mainly concern diagnostic devices-used to obtain outcome measurements of variables of interest-or specific equipment that is necessary to apply the tests ...
doi:10.1155/2015/264067
pmid:25834813
pmcid:PMC4365315
fatcat:o4cdzycjqvbs3ph3zilpvzxz6u
The Impact of Transient Ischemic Attack (TIA) on Brain and Behavior
2019
Frontiers in Behavioral Neuroscience
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These deficits may be the result of subtle perturbations to brain structure and/or function that are not easily appreciated using the standard clinical and imaging tools that are currently employed in ...
Here, we will discuss evidence that suggests that TIA may lead to lasting changes to the structure and function of the brain. ...
ACKNOWLEDGMENTS We would like to thank Simone Appaqaq, Kim Moore and Mary-Jo Demers, Justin Peterson, and Helen Bretzke for their expert technical assistance. ...
doi:10.3389/fnbeh.2019.00044
pmid:30914931
pmcid:PMC6421333
fatcat:yhwcyfqwpfep3ejylnrjdidu34
Neuromechanical Biomarkers for Robotic Neurorehabilitation
2021
Frontiers in Neurorobotics
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One of the current challenges for translational rehabilitation research is to develop the strategies to deliver accurate evaluation, prediction, patient selection, and decision-making in the clinical practice ...
This study provides an overview of the state-of-the-art of the biomarkers related to the robotic neurorehabilitation, focusing on the translational studies, and underlying the need to create the comprehensive ...
ACKNOWLEDGMENTS The authors gracefully acknowledge Silvia Chiappalone for providing the graphics of Figure 2 . ...
doi:10.3389/fnbot.2021.742163
pmid:34776920
pmcid:PMC8579108
fatcat:2zosr2jawfddldei65fmidjh7q
Relationship Between Clinical Assessments of Function and Measurements From an Upper-Limb Robotic Rehabilitation Device in Cervical Spinal Cord Injury
2012
IEEE transactions on neural systems and rehabilitation engineering
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Prediction of upper-limb clinical scores in SCI is feasible using measurements from a robotic rehabilitation device, without the need for dedicated assessment procedures. ...
This study used measurements from robotic rehabilitation sessions to predict clinical scores in a traumatic cervical spinal cord injury (SCI) population. ...
A number of studies have examined the correlations between movement descriptors measured by robots (including smoothness, accuracy, speed and force produced) and clinical measures used for stroke survivors ...
doi:10.1109/tnsre.2011.2181537
pmid:22203726
fatcat:uh3edvdtjfgw5ecos7xwplochu
Impact of Machine Learning in Neurosurgery: A Systematic Review of Related Literature
2020
Malaysian Journal of Medical and Biological Research
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For this study, 23 studies were identified which used machine learning algorithms for the diagnosis, pre-surgical planning, and outcome prediction. ...
This study uses a systematic search to review articles from the PubMed and Embase databases in comparing various machine learning studies approaches to that of the clinical experts. ...
planning, and the prediction based on a total of 61 outcome measures. ...
doi:10.18034/mjmbr.v8i1.520
fatcat:dffirsp6jvflrme7uow7vpfhem
Technology-Aided Assessment of Sensorimotor Function in Early Infancy
2014
Frontiers in Neurology
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; and provide clinicians with much needed early diagnostic information. ...
We also describe how the use of these tools with neuroimaging, and in particular functional magnetic resonance imaging (fMRI), can shed new light on the intra-cerebral processes underlying neurodevelopmental ...
condition, or outcome based upon performance at the time of assessment (predictive ability), and (iii) evaluating longitudinal changes in neuromotor performance, and the impact of intervention (evaluative ...
doi:10.3389/fneur.2014.00197
pmid:25324827
pmcid:PMC4181230
fatcat:euxevl5w5bcxjmvafs36lhxrjq
Guest Editorial Special Issue on Rehabilitation Robotics
2009
IEEE Transactions on robotics
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Ellis et al. present clinical results after using the robotic system (ACT 3D ) for therapy and quantitative measurement of abnormal joint torque coupling in chronic stroke survivors. ...
On the other hand, the paper by Bu et al. proposes a novel technique for developing human-robot interfaces based on a Bayesian predictive task model for motion prediction that is used to improve robustness ...
doi:10.1109/tro.2009.2022552
fatcat:cvychxtbgjadvaivsi73xjgm6a
Potential of robots as next-generation technology for clinical assessment of neurological disorders and upper-limb therapy
2011
Journal of rehabilitation research and development
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This information could potentially be used to provide more accurate diagnostic and prognostic information than is available from current clinical assessment techniques. ...
Our general hypothesis is that these same attributes make robotic technologies ideal for clinically assessing sensory, motor, and cognitive impairments in stroke and other neurological disorders. ...
Use of Robots for Rehabilitation A plethora of devices have been used to evaluate the effectiveness of robotics in improving motor recovery following stroke. ...
doi:10.1682/jrrd.2010.04.0057
fatcat:syye4quv65bpdjrcv74wck7pjy
Big-ECG: Cardiographic predictive cyber-physical system for Stroke management
2021
IEEE Access
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For a detailed diagnostics of stroke, including identification of the stroke lesion on the brain, and evaluation of lesion size and location, computed tomography (CT) and magnetic resonance imaging (MRI ...
Stroke is a neurological disease, and electroencephalography (EEG) is a useful tool for early prognostics of stroke [6] . ...
Park is a Professor of the Department of Medical Physics at the University of Science and Technology (UST), South Korea. ...
doi:10.1109/access.2021.3109806
fatcat:oiyuc3hu4fd2nhqczevfurg5vy
Biomarkers of Angiogenesis and Neuroplasticity as Promising Clinical Tools for Stroke Recovery Evaluation
2021
International Journal of Molecular Sciences
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The revision of biochemical biomarkers has been developed based on stroke recovery processes: angiogenesis and neuroplasticity. ...
Until clinicians have answers to these concerns, the treatment and rehabilitation are rather intuitive, with standard procedures carried out based on subjective estimations using clinical scales. ...
Therefore, the prognostic factor is a measure of recovery and outcomes resulting from standard management, and the predictive factor implicates a diverse benefit from particular treatment [11] . ...
doi:10.3390/ijms22083949
pmid:33920472
fatcat:pglhu5n54nbopmoxkm3pjfldpu
These legs were made for propulsion: advancing the diagnosis and treatment of post-stroke propulsion deficits
2020
Journal of NeuroEngineering and Rehabilitation
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, and clinical deficits underlying impaired locomotion and (ii) evidence-based, targeted treatments. ...
In this expert review, we present the biomechanical and functional consequences of post-stroke propulsion deficits, review advances in our understanding of the nature of post-stroke propulsion impairment ...
Further investigation and validation of propulsion features with high prognostic value is required and may necessitate the identification of proxy measures of propulsion function that may be easier to ...
doi:10.1186/s12984-020-00747-6
pmid:33087137
fatcat:5j62vw4hh5bqnm5fmwecmht76u
Ceramides and Ceramide Scores: Clinical Applications for Cardiometabolic Risk Stratification
2020
Frontiers in Endocrinology
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Based on abundant published data, risk score using the concentrations of circulating ceramides have been developed and adapted for routine clinical practice. ...
Ceramides have shown independent predictive value for negative cardiovascular outcomes as well as for the onset of type 2 diabetes. ...
routinely used diagnostic and prognostic CVD tools. ...
doi:10.3389/fendo.2020.570628
pmid:33133018
pmcid:PMC7550651
fatcat:6hudub4x4fdgjlfvzfuvczetly
Upper Extremity Proprioception in Healthy Aging and Stroke Populations, and the Effects of Therapist- and Robot-Based Rehabilitation Therapies on Proprioceptive Function
2015
Frontiers in Human Neuroscience
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ACKNOWLEDGMENTS This work was partly supported by the "H-Man" project (NMRC/BnB/0006b/2013), Ministry of Health, Singapore. ...
In contrast, rehabilitation robots capable of proprioceptive assessment have better diagnostic and prognostic precision and are more likely to discriminate subtle differences of deficit and changes over ...
Therapist-based training programs directed at age-related and stroke induced functional losses are limited by manpower and healthcare and insurance policies issues, and as such, rehabilitation robots can ...
doi:10.3389/fnhum.2015.00120
pmid:25784872
pmcid:PMC4345814
fatcat:d7quqbn2a5dfte2kz3s34o6gpi
Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals
2021
Healthcare
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areas and benefits of hospital AI technologies. ...
As a first step towards structuring and comparing such experiences, this paper is presenting a comparative approach from nine European hospitals and eleven different use cases with possible application ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/healthcare9080961
fatcat:wkucqiclsrgnljzgzrvcloi6za
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