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ShareScore release 0.9.0
Dataset results
58 results for “pupillometry”
PsPM-AOB: Eye tracker (including pupillometry) measurements from auditory oddball tasks
<p>This dataset includes eye tracker (including pupillometry) measurements from auditory oddball tasks with ITIs of 1, 2, and 3 s (in groups 1, 2, and 3 respectively). Also included are task information, keypress responses, keypress response times and key correctness for each of 66 healthy unmedicated participants (40 females and 26 males aged 24.2+/-3.9 years) participating in auditory oddball tasks. Stimuli consist of sine tones (50-ms length; 10-ms ramp; 440 or 660 Hz).</p>
PsPM-EWO: Eye tracker (including pupillometry) measurements from emotional-words tasks
<p>This dataset includes eye tracker (including pupillometry) measurements for 37 healthy unmedicated participants (25 females and 12 males, age range: 18 - 34 years, mean age: 26.2 +/- 4.7 years) participating in an emotional-words task. In each session, participants were presented with 50 neutral and 50 negative five-letter nouns from the Berlin Affective Word List Reloaded (Võ et al., 2009). Also included are task information, keypress responses, keypress response times.</p>
PsPM-AOB_UW: Eye tracker (including pupillometry) measurements from an auditory oddball and a luminance task
<p>This dataset includes eye tracker (including pupillometry) measurements from an auditory oddball task with an ITI of 2 s (session 1) and a luminance task in which discs with different shades of grey were presented. Also included are task information, keypress responses, keypress response times and key correctness for the oddball task. Data come from 23 healthy unmedicated female participants aged 41.87 +/- 3.9 years as a control group for a lesion patient with Urbach-Wiethe syndrome. Stimuli consist of sine tones (50-ms length; 10-ms ramp; 440 or 660 Hz).</p>
Quartet Body Motion and Pupillometry Dataset
<p>This dataset contains performance data that were collected during an experiment with a string quartet, and listening data that were collected during a follow-up experiment, using recordings from the performance experiment. The design of the experiments and the nature of the data that were collected are explained below. </p> <p>More information about the design of the experiments and the data collection can be found in the following publications:</p> <p>Bishop, L. and Jensenius, A. R. (2020). Reliability of two IR motion capture systems in a music performance setting. In <em>Proceedings of the International Conference on Sound and Music Computing</em>. Torino, Italy.</p> <p>Bishop, L., Jensenius, A. R., and Laeng, B. (2021). Musical and bodily predictors of mental effort in string quartet music: An ecological pupillometry study of performers and listeners. <em>Frontiers in Cognition</em>.</p> <p>Bishop, L., González Sánchez, V., Laeng, B., Jensenius, A. R., and Høffding, S. (submitted). Move like everyone is watching: Social context affects head motion and gaze in string quartet performance. <em>Journal of New Music Research</em>. </p> <p><strong>Performance data</strong></p> <p>Performance data were collected in December 2019 as part of an experiment on how communicative body motion is affected by the presence of an audience and manipulations of visual contact between musicians. The experiment also investigated how musicians' mental effort is affected by different kinds of performance demands. </p> <p>A string quartet comprising advanced music students played pieces from their repertoire in rehearsal and concert conditions. The pieces were: String Quartet in B-flat major, Op. 76, No. 4, 1st and 2nd movements, by Haydn; String Quartet in G minor, Op. 10, 1st and 2nd movements, by Debussy. All performances were carried out in the motion capture lab at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, at the University of Oslo. </p> <p><strong>Rehearsal conditions: </strong>the quartet played the first 68 bars of the 1st movement of the String Quartet by Haydn. They played this excerpt five times, under the following conditions:</p> <ul> <li><em>Blind</em>: the musicians sat back-to-back so that they could not see each other</li> <li><em>Score-directed</em>: the musicians sat facing each other in their normal configuration, but were instructed to look only at the score and not at each other</li> <li><em>Normal-rehearsal</em>: the musicians sat facing each other in their normal configuration and were free to look at each other </li> <li><em>Violin-isolated</em>: the first violinist was hidden behind a curtain, while the others sat in their normal configuration and were free to look at each other </li> <li><em>Repetition-rehearsal</em>: replication of the Normal-rehearsal condition</li> </ul> <p><strong>Concert condition</strong><strong>:</strong> the quartet played the full 1st and 2nd movements of the Haydn and Debussy String Quartets for a live audience of about 40 people, which included an examiner (the concert also constituted the quartet's semester exam). </p> <p>The data that were collected from the musicians include the following:</p> <ul> <li><em>Motion capture data</em>, collected using a Qualisys system with 12 Oqus 300/310 cameras and an OptiTrack system with 8 Flex 13 cameras. Both systems recorded at 120 Hz. Six reflective markers were placed on each musician: head, upper back, left and right arm above and below the elbow. Four reflective markers were also placed on each musician's eye tracking glasses. </li> <li><em>Eye tracking data</em>, collected using SMI Wireless Eye Tracking Glasses, which recorded gaze position and pupil diameter at 60 Hz. </li> <li><em>Performers' difficulty ratings</em>. Performers individually rated each bar of the music for technical difficulty (1--7 scale), expressivity difficulty (1--7 scale), and harmonic complexity (1--7 scale). These ratings were done in the weeks after the concert.</li> </ul> <p><strong>Listening data</strong></p> <p>Listening data were collected during the autumn of 2020 as part of an experiment evaluating how different performance demands affect mental effort in listeners. The participants in the experiment were 16 trained musicians. They listened to the four movements that were recorded during the concert condition of the performance experiment, while pupil data were recorded with a stationary eye tracker (SMI iView RED) at 60 Hz. While listening, they kept their eyes focused on a computer screen that featured a while background with a black outline of a circle. </p> <p><strong>Scripts </strong></p> <p>Analysis scripts are located here: <a href="https://github.com/laurabishop/Borealis">https://github.com/laurabishop/Borealis</a></p>
Use of Pupillometry for Pain Assessment in ICU Patients with Delirium
ClinicalTrials.gov study NCT05811208. IPD Sharing: UNDECIDED. Countries: 1. Publications: 7.
Ability of Pupillometry to Reduce Sufentanil Consumption in Planned Cardiac Surgery: Randomized, Controlled, Single-center Clinical Superiority Trial
ClinicalTrials.gov study NCT03864016. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pupillometry-guided Remifentanil Infusion Versus Conventional Administration in Children
ClinicalTrials.gov study NCT03749811. IPD Sharing: NO. Countries: 1. Publications: 2.
Pupillometry and Somatosensory Evoked Potential in Cardiac Arrest
ClinicalTrials.gov study NCT04720482. IPD Sharing: NO. Countries: 1. Publications: 1.
PupillOmetry for Prediction of DelirIUM
ClinicalTrials.gov study NCT05248035. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Quantitative Pupillometry in Brain Injury Children : Variation After Osmotherapy
ClinicalTrials.gov study NCT06642896. IPD Sharing: NO. Countries: 1. Publications: 13.
Prediction of Pre-operative Anxiety by Heart Variability and Pupillometry
ClinicalTrials.gov study NCT04154410. IPD Sharing: NO. Countries: 1. Publications: 1.
Pupillometry in Pediatric Intensive Care Unit (PICU)
ClinicalTrials.gov study NCT02847195. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison Between Pupillometry and the Numerical Rating Scale
ClinicalTrials.gov study NCT05019898. IPD Sharing: NO. Countries: 1. Publications: 1.
Comparison of Pupillometry-guided Anesthesia With Surgical Pleth Index Guided Anesthesia
ClinicalTrials.gov study NCT03586791. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Social Interactions: Ocular Explorations and Pupillometry in Autism
ClinicalTrials.gov study NCT01647295. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Monocentric Study Evaluating Pupillometry as an Objective Measurement for CI Fittings
ClinicalTrials.gov study NCT05586555. IPD Sharing: NO. Countries: 1. Publications: 12.
Early Neurological Assessment With Pupillometry in Cardiac Arrest During Resuscitation
ClinicalTrials.gov study NCT05192772. IPD Sharing: NO. Countries: 1. Publications: 5.
DeepLabCut network for pupillometry analysis (Privitera et al. 2020)
<p>Network trained for Privitera et al. 2020. Used for the analysis of pupillometry video files using an infrared camera and anesthetized mice</p>
Infrared Pupillometry During General Anesthesia to Predict Pain
ClinicalTrials.gov study NCT02058511. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Investigation of Pupillometry as Guide for Extubation Readiness in Anesthetized Children
ClinicalTrials.gov study NCT04947397. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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OpenNeuro
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