1,209 Hits in 4.6 sec

Prediction of stroke-related diagnostic and prognostic measures using robot-based evaluation

Sayyed Mostafa Mostafavi, Janice I. Glasgow, Sean P. Dukelow, Stephen H. Scott, Parvin Mousavi
2013 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR)  
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

Giorgio Ferriero, Stefano Carda, Sasa Moslavac, Alessia Rabini
2015 BioMed Research International  
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

Leif E. R. Simmatis, Stephen H. Scott, Albert Y. Jin
2019 Frontiers in Behavioral Neuroscience  
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

Florencia Garro, Michela Chiappalone, Stefano Buccelli, Lorenzo De Michieli, Marianna Semprini
2021 Frontiers in Neurorobotics  
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

J. Zariffa, N. Kapadia, J. L. K. Kramer, P. Taylor, M. Alizadeh-Meghrazi, V. Zivanovic, U. Albisser, R. Willms, A. Townson, A. Curt, M. R. Popovic, J. D. Steeves
2012 IEEE transactions on neural systems and rehabilitation engineering  
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

Praveen Kumar Donepudi
2020 Malaysian Journal of Medical and Biological Research  
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

Alessandro G. Allievi, Tomoki Arichi, Anne L. Gordon, Etienne Burdet
2014 Frontiers in Neurology  
; 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

Eugenio Guglielmelli, Michelle J. Johnson, Takanori Shibata
2009 IEEE Transactions on robotics  
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

Stephen H. Scott, Sean P. Dukelow
2011 Journal of rehabilitation research and development  
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

Iqram Hussain, Se Jin Park
2021 IEEE Access  
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

Lidia Wlodarczyk, Rafal Szelenberger, Natalia Cichon, Joanna Saluk-Bijak, Michal Bijak, Elzbieta Miller
2021 International Journal of Molecular Sciences  
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

Louis N. Awad, Michael D. Lewek, Trisha M. Kesar, Jason R. Franz, Mark G. Bowden
2020 Journal of NeuroEngineering and Rehabilitation  
, 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

Mika Hilvo, Vlad C. Vasile, Leslie J. Donato, Reini Hurme, Reijo Laaksonen
2020 Frontiers in Endocrinology  
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

Charmayne Mary Lee Hughes, Paolo Tommasino, Aamani Budhota, Domenico Campolo
2015 Frontiers in Human Neuroscience  
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

Matthias Klumpp, Marcus Hintze, Milla Immonen, Francisco Ródenas-Rigla, Francesco Pilati, Fernando Aparicio-Martínez, Dilay Çelebi, Thomas Liebig, Mats Jirstrand, Oliver Urbann, Marja Hedman, Jukka A. Lipponen (+6 others)
2021 Healthcare  
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
« Previous Showing results 1 — 15 out of 1,209 results