Dataset Information

Intra- and Inter-Rater Reliability of Manual Feature Extraction Methods in Movement Related Cortical Potential Analysis.

ABSTRACT: Event related potentials (ERPs) provide insight into the neural activity generated in response to motor, sensory and cognitive processes. Despite the increasing use of ERP data in clinical research little is known about the reliability of human manual ERP labelling methods. Intra-rater and inter-rater reliability were evaluated in five electroencephalography (EEG) experts who labelled the peak negativity of averaged movement related cortical potentials (MRCPs) derived from thirty datasets. Each dataset contained 50 MRCP epochs from healthy people performing cued voluntary or imagined movement, or people with stroke performing cued voluntary movement. Reliability was assessed using the intraclass correlation coefficient and standard error of measurement. Excellent intra- and inter-rater reliability was demonstrated in the voluntary movement conditions in healthy people and people with stroke. In comparison reliability in the imagined condition was low to moderate. Post-hoc secondary epoch analysis revealed that the morphology of the signal contributed to the consistency of epoch inclusion; potentially explaining the differences in reliability seen across conditions. Findings from this study may inform future research focused on developing automated labelling methods for ERP feature extraction and call to the wider community of researchers interested in utilizing ERPs as a measure of neurophysiological change or in the delivery of EEG-driven interventions.

SUBMITTER: Alder G

PROVIDER: S-EPMC7219488 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Intra- and Inter-Rater Reliability of Manual Feature Extraction Methods in Movement Related Cortical Potential Analysis.

Alder Gemma G Signal Nada N Rashid Usman U Olsen Sharon S Niazi Imran Khan IK Taylor Denise D

Sensors (Basel, Switzerland) 20200424 8

Event related potentials (ERPs) provide insight into the neural activity generated in response to motor, sensory and cognitive processes. Despite the increasing use of ERP data in clinical research little is known about the reliability of human manual ERP labelling methods. Intra-rater and inter-rater reliability were evaluated in five electroencephalography (EEG) experts who labelled the peak negativity of averaged movement related cortical potentials (MRCPs) derived from thirty datasets. Each ...[more]

PMID: 32344692

Similar Datasets

Project description:ObjectivesTo investigate the intra- and inter-rater reliability of the total radiomics quality score (RQS) and the reproducibility of individual RQS items' score in a large multireader study.MethodsNine raters with different backgrounds were randomly assigned to three groups based on their proficiency with RQS utilization: Groups 1 and 2 represented the inter-rater reliability groups with or without prior training in RQS, respectively; group 3 represented the intra-rater reliability group. Thirty-three original research papers on radiomics were evaluated by raters of groups 1 and 2. Of the 33 papers, 17 were evaluated twice with an interval of 1 month by raters of group 3. Intraclass coefficient (ICC) for continuous variables, and Fleiss' and Cohen's kappa (k) statistics for categorical variables were used.ResultsThe inter-rater reliability was poor to moderate for total RQS (ICC 0.30-055, p < 0.001) and very low to good for item's reproducibility (k - 0.12 to 0.75) within groups 1 and 2 for both inexperienced and experienced raters. The intra-rater reliability for total RQS was moderate for the less experienced rater (ICC 0.522, p = 0.009), whereas experienced raters showed excellent intra-rater reliability (ICC 0.91-0.99, p < 0.001) between the first and second read. Intra-rater reliability on RQS items' score reproducibility was higher and most of the items had moderate to good intra-rater reliability (k - 0.40 to 1).ConclusionsReproducibility of the total RQS and the score of individual RQS items is low. There is a need for a robust and reproducible assessment method to assess the quality of radiomics research.Clinical relevance statementThere is a need for reproducible scoring systems to improve quality of radiomics research and consecutively close the translational gap between research and clinical implementation.Key points• Radiomics quality score has been widely used for the evaluation of radiomics studies. • Although the intra-rater reliability was moderate to excellent, intra- and inter-rater reliability of total score and point-by-point scores were low with radiomics quality score. • A robust, easy-to-use scoring system is needed for the evaluation of radiomics research.

Project description:BackgroundComparisons across studies of generalized joint hypermobility are often difficult since there are several classification methods and methodological differences in the performance exist. The Beighton score is most commonly used and has been tested for inter- and intra-rater reliability. The Contompasis score and the Hospital del Mar criteria have not yet been evaluated for reliability. The aim of this study was to investigate the inter- and intra-rater reliability for measurements of range of motion in joints included in these three hypermobility assessment methods using a structured protocol.MethodsThe study was planned in accordance with guidelines for reporting reliability studies. Healthy adults were consecutively recruited (49 for inter- and 29 for intra-rater assessments). Intra-class correlations, two-way random effects model, (ICC 2.1) with 95% confidence intervals, standard error of measurement, percentage of agreement, Cohen's Kappa (?) and prevalence-adjusted bias-adjusted kappa were calculated for single-joint measured in degrees and for total scores.ResultsThe inter- and intra-rater reliability in total scores were ICC 2.1: 0.72-0.82 and 0.76-0.86 and for single-joint measurements in degrees 0.44-0.91 and 0.44-0.90, respectively. The difference between ratings was within 5 degrees in all but one joint. Standard error of measurement ranged from 1.0 to 6.9 degrees. The inter- and intra-rater reliability for prevalence of positive hypermobility findings the Cohen's ? for total scores were 0.54-0.78 and 0.27-0.78 and in single joints 0.21-1.00 and 0.19-1.00, respectively. The prevalence- and bias adjusted Cohen's ?, increased all but two values.ConclusionsFollowing a structured protocol, the inter- and intra-rater reliability was good-to-excellent for total scores and in all but two single joints, measured in degrees. The inter- and intra-rater reliability for prevalence of positive hypermobility findings was fair-to-almost perfect for total scores and slight-to-almost-perfect in single joints. By using a structured protocol, we attempted to standardize the assessment of range of motion in clinical and in research settings. This standardization could be helpful in the first part of the process of standardizing the tests thus avoiding that assessment of GJH is based on chance.

Project description:BACKGROUND:There is a growing trend in the use of mobile health (mHealth) technologies in traditional Chinese medicine (TCM) and telemedicine, especially during the coronavirus disease (COVID-19) outbreak. Tongue diagnosis is an important component of TCM, but also plays a role in Western medicine, for example in dermatology. However, the procedure of obtaining tongue images has not been standardized and the reliability of tongue diagnosis by smartphone tongue images has yet to be evaluated. OBJECTIVE:The first objective of this study was to develop an operating classification scheme for tongue coating diagnosis. The second and main objective of this study was to determine the intra-rater and inter-rater reliability of tongue coating diagnosis using the operating classification scheme. METHODS:An operating classification scheme for tongue coating was developed using a stepwise approach and a quasi-Delphi method. First, tongue images (n=2023) were analyzed by 2 groups of assessors to develop the operating classification scheme for tongue coating diagnosis. Based on clinicians' (n=17) own interpretations as well as their use of the operating classification scheme, the results of tongue diagnosis on a representative tongue image set (n=24) were compared. After gathering consensus for the operating classification scheme, the clinicians were instructed to use the scheme to assess tongue features of their patients under direct visual inspection. At the same time, the clinicians took tongue images of the patients with smartphones and assessed tongue features observed in the smartphone image using the same classification scheme. The intra-rater agreements of these two assessments were calculated to determine which features of tongue coating were better retained by the image. Using the finalized operating classification scheme, clinicians in the study group assessed representative tongue images (n=24) that they had taken, and the intra-rater and inter-rater reliability of their assessments was evaluated. RESULTS:Intra-rater agreement between direct subject inspection and tongue image inspection was good to very good (Cohen ? range 0.69-1.0). Additionally, when comparing the assessment of tongue images on different days, intra-rater reliability was good to very good (? range 0.7-1.0), except for the color of the tongue body (?=0.22) and slippery tongue fur (?=0.1). Inter-rater reliability was moderate for tongue coating (Gwet AC2 range 0.49-0.55), and fair for color and other features of the tongue body (Gwet AC2=0.34). CONCLUSIONS:Taken together, our study has shown that tongue images collected via smartphone contain some reliable features, including tongue coating, that can be used in mHealth analysis. Our findings thus support the use of smartphones in telemedicine for detecting changes in tongue coating.

Project description:ObjectivesThe objectives of this study were to asses (1) inter-rater and intrarater reliability of ultrasound imaging in patients with hip osteoarthritis, and (2) agreement between ultrasound and X-ray findings of hip osteoarthritis using validated Outcome Measures in Rheumatology ultrasound definitions for pathology.DesignAn inter-rater and intrarater reliability study.SettingA single-centre study conducted at a regional hospital.Participants50 patients >39 years of age referred for radiography due to hip pain and suspected hip osteoarthritis were included. Exclusion criteria were previous hip surgery in the painful hip, suspected fracture or malignant changes in the hip.InterventionBilateral ultrasound examinations (n=92) were performed continuously by two experienced operators blinded to clinical information and other imaging findings. After 4-6 weeks, one operator reassessed the images. X-rays were assessed by a third imaging specialist.Primary and secondary outcome measuresInter-rater and intrarater reliability and agreement between ultrasound imaging and X-ray were assessed using Cohen's ordinal kappa statistics for binary categorical variables and weighted kappa for ordered categorical variables.ResultsKappa values (κ) for inter-rater reliability were 0.9 and 0.8 for hip effusion/synovitis and osteoarthritis grading, respectively. For acetabular and femoral osteophytes, femoral cartilage changes and labrum changes κ ranged from 0.4 to 0.7. Intrarater reliability had κ equal or higher compared with inter-rater reliability. Agreement between ultrasound and X-ray findings ranged from κ=0.2 to κ=0.5.ConclusionThis study demonstrated substantial to almost perfect reliability on the most common ultrasound findings related to hip osteoarthritis and osteoarthritis grading. Agreement on the grade of osteoarthritis between ultrasound and X-ray was moderate. Overall, these results support ultrasound imaging as a reliable tool in the assessment of hip osteoarthritis.

Dataset Information

Intra- and Inter-Rater Reliability of Manual Feature Extraction Methods in Movement Related Cortical Potential Analysis.

Publications

Intra- and Inter-Rater Reliability of Manual Feature Extraction Methods in Movement Related Cortical Potential Analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets