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659 results for “wearable”
An Exploratory Study on Code Quality, Testing, Data Accuracy, and Practical Use Cases of IoT Wearables
<p>Data used in IoT Wearable Study</p>
Telematic Wearable Music Video Supplement
<p>Video documentation of the wearable music course. Begins with ~2 minutes of solo wearable musical instruments developed by the instructor as demonstrations for students, followed by ~6 minutes of in-class collaborative telematic, wearable musical instrument experiments and explorations.</p>
Data from: Characterizing terminology applied by authors and database producers to informatics literature on consumer engagement with wearable devices
<p><span>To recommend strategies to improve discoverability of consumer health informatics (CHI) literature, we aimed to characterize controlled vocabulary and author terminology applied to a subset of CHI literature on wearable technologies. </span>A descriptive analysis of articles (N=2,522) from 2019 identified 308 (12.2%) CHI-related articles for which the citations with PubMed identifiers for the included and excluded studies are provided. The 308 articles were published in 181 journals which we classified by type of journal—health, informatics, technology and other—as shown in the third file. We provide an aggregated file of the author-assigned keywords as they appeared in the PubMed records of the included studies along with our decision about whether they represented consumer engagement. We also included an aggregated file of the Medical Subject Headings assigned to the included studies. The top 100 terms and their frequency scores for the title and abstracts are also included. We did not include any of the terminology from CINAHL, and Engineering Databases (Compendex and Inspec together) due to copyright concerns.</p>
Joint angles during early sprint acceleration with wearable resistance among Australian Rules football players
<p><span>Rapid acceleration is an important quality for field-based sport athletes. Technical factors contribute to greater acceleration and these can be deliberately influenced by coaches through implementation of constraints, which afford particular coordinative states or induce variability generally. Lightweight wearable resistance is an emerging training tool, which can act as a constraint on acceleration. At present, however, the effects on whole-body coordination resulting from different WR configurations and magnitudes are unknown. To better understand these effects, five male Australian Rules football athletes performed a series of 20 m sprints with either relatively light or heavy wearable resistance applied to the anterior or posterior aspects of the thighs or shanks. Whole body coordination during one complete stride in early acceleration was examined across eight wearable resistance conditions and compared with baseline (unresisted) acceleration coordination using group- and individual-level hierarchical cluster analysis. Self-organising maps and a joint-level distance matrix were used to further investigate specific kinematic changes in conditions where coordination differed most from baseline. Across the group, relatively heavy wearable resistance applied to the thighs resulted in the greatest difference to whole-body coordination compared with baseline acceleration. On average, heavy posterior thigh wearable resistance led to altered pelvic position and greater hip extension, while heavy anterior thigh wearable resistance led to accentuated movement at the shoulders in the transverse and sagittal planes. These findings offer a useful starting point for coaches seeking to use wearable resistance to promote the emergence of greater hip extension or upper body contribution during acceleration. Importantly, individuals varied in how they responded to heavy thigh wearable resistance, which coaches should be mindful of. The present findings also offer more focussed future research directions around the question of coordinative changes in response to wearable resistance, which may be investigated among larger sample groups.</span></p>
EmoPulse Moments E4 Dataset (EPM-E4): An Exhaustive Collection of Emotion-Related Data from Empatica E4 Wearable
<p><strong>EmoPulse Moments E4 Dataset (EPM-E4): An Exhaustive Collection of Emotion-Related Data from Empatica E4 Wearable</strong></p> <p> </p> <p> </p> <p><strong>Description</strong>:</p> <p>The EmoPulse Moments E4 Dataset (EPM-E4) is a meticulously curated dataset, derived from 53 participants using the Empatica E4 wearable, a cutting-edge device capturing emotional responses in real-time. This dataset offers a treasure trove of information for those engrossed in emotion analysis, wearable technology, and psychophysiological research.</p> <p><strong>Dataset Highlights</strong>:</p> <ul> <li><strong>Continuous Physiological Data</strong>: Including heart rate, electrodermal activity, and skin temperature, revealing the body's emotional state.</li> <li><strong>Motion Tracking</strong>: Captures the device's 3D movement, integrating context with emotion.</li> <li><strong>Blood Volume Pulse (BVP)</strong>: Providing insights into cardiovascular activities related to emotional arousal.</li> <li><strong>Intra-day Variability</strong>: Chronicling daily emotional patterns and changes, spotlighting moments of heightened emotional intensity.</li> <li><strong>Wearable-specific Metrics</strong>: Device battery levels, operational status, and other key indicators are documented with precision.</li> <li><strong>Consent and Ethics</strong>: The dataset respects and upholds privacy and ethical standards. Every participant provided informed consent. This endeavor has received the green light from the Ethics Committee at the University of Granada, documented under the reference: 2100/CEIH/2021.</li> </ul> <p>A major attribute of EPM-E4 is the in-depth exploration of "key moments" within the viewed clips, targeting instances that are predicted to intensify emotional reactions.</p> <p><strong>Curated Video Clips within Dataset</strong>:</p> Film Emotion Duration (seconds) The Lover Baseline 43 American History X Anger 106 Cry Freedom Sadness 166 Alive Happiness 310 Scream Fear 395 <p>EPM-E4's groundbreaking focus on these key moments bridges the gap between cinematic events and nuanced physiological responses captured by the Empatica E4 wearable.</p> <p><strong>Key Emotional Moments in Dataset</strong>:</p> Film Emotion Key moment timestamps (seconds) American History X Anger 36, 57, 68 Cry Freedom Sadness 112, 132, 154 Alive Happiness 227, 270, 289 Scream Fear 23, 42, 79, 226, 279, 299, 334 <p><strong>Based on</strong>: Gilman, T. L., et al. (2017). A film set for the elicitation of emotion in research. Behavior Research Methods, 49(6). </p> <p>With its meticulous design and extensive reach, the EmoPulse Moments E4 Dataset aims to pioneer advances in wearable technology, psychophysiology, and affective computing, furnishing a detailed blueprint for decoding and exploring human emotions via real-time wearable data.<br> <br> <em>The ethical consent for this dataset was provided by La Comisión de Ética en Investigación de la Universidad de Granada, as documented in the approval titled: 'DETECCIÓN AUTOMÁTICA DE LAS EMOCIONES BÁSICAS Y SU INFLUENCIA EN LA TOMA DE DECISIONES MEDIANTE WEARABLES Y MACHINE LEARNING' registered under 2100/CEIH/2021.</em></p>
Using Consumer-grade Wearable Devices for Fall Risk Evaluation and Alerts
ClinicalTrials.gov study NCT06508892. IPD Sharing: NO. Countries: 1. Publications: 2.
WAVE. Wearable-based COVID-19 Markers for Prediction of Clinical Trajectories
ClinicalTrials.gov study NCT04357834. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Wearable Echolocation Aids Using Parametric Sound
ClinicalTrials.gov study NCT07218991. IPD Sharing: NO. Countries: 1. Publications: 7.
Brainwave Control of a Wearable Robotic Arm for Rehabilitation and Neurophysiological Study in Cervical Spine Injury
ClinicalTrials.gov study NCT02443558. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Artificial Intelligence Mobile Health Trial Of A Digital Platform To Optimize GDMT Using Wearable Sensors
ClinicalTrials.gov study NCT04191330. IPD Sharing: NO. Countries: 1. Publications: 1.
Wearable Device to Promote CPAP Adherence in Obstructive Sleep Apnea (OSA) Patients
ClinicalTrials.gov study NCT07377968. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Wearable Technology to Characterize and Treat mTBI Subtypes: Biofeedback-Based Precision Rehabilitation
ClinicalTrials.gov study NCT06381674. IPD Sharing: Not stated. Countries: 1. Publications: 90.
The Smartphone and Wearable Detected Atrial Arrhythmia in Older Adults Case Finding Study (Smart in OAC - AFNET 9)
ClinicalTrials.gov study NCT04579159. IPD Sharing: Not stated. Countries: 3. Publications: 2.
The RADAR Study - Wearable-Based Dysglycemia Detection and Warning in Diabetes
ClinicalTrials.gov study NCT04689685. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Use of Wearable Sensors for Early Detection and Tracking of Viral Respiratory Tract Infections
ClinicalTrials.gov study NCT05290792. IPD Sharing: NO. Countries: 1. Publications: 11.
The Effect of Wearable Vibration Therapy on Shoulder Functionality in Individuals Receiving Adjuvant Radiotherapy After Breast Cancer Surgery
ClinicalTrials.gov study NCT05680116. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Clinical Evaluation of a Wearable Sleep Diagnosis Technology
ClinicalTrials.gov study NCT03544086. IPD Sharing: NO. Countries: 1. Publications: 1.
Pilot Study of Wearable Artificial Kidney
ClinicalTrials.gov study NCT00454974. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Smartphone-based Wearable Telerehabilitation
ClinicalTrials.gov study NCT04146454. IPD Sharing: NO. Countries: 1. Publications: 0.
IntelligentCare: Wearable-based Intervention
ClinicalTrials.gov study NCT05777291. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.