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93
datasets available to search
ShareScore release 0.9.0
Dataset results
93 results for “wearable sensor”
Advanced Wireless, Wearable Sensors for Continuous Hemodynamic Monitoring
ClinicalTrials.gov study NCT04362553. IPD Sharing: NO. Countries: 1. Publications: 0.
Wearable Movement Sensors for Assessing Motor Impairments and Dyskinesias in Parkinson Disease
ClinicalTrials.gov study NCT01648803. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of Wearable Sensor-based Interactive Cognitive-motor Training in Older Adults.
ClinicalTrials.gov study NCT05983913. IPD Sharing: NO. Countries: 1. Publications: 0.
Wearable Skin Sensors to Assess Nocturnal Scratch Behavior
ClinicalTrials.gov study NCT03770858. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Timing of Antihypertensive Medication on Diurnal Fluctuations in Blood Pressure Using a Wearable Sensor With Continuous Monitoring
ClinicalTrials.gov study NCT04826250. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Validity And Reliability of Wearable Motion Sensors in Knee Joint Range of Motion Measurement
ClinicalTrials.gov study NCT06537830. IPD Sharing: NO. Countries: 1. Publications: 0.
Sweat Rate Measurement With a Sensor (Wearable) in Different Climatic Conditions With Road Cyclists.
ClinicalTrials.gov study NCT06308432. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Mobile Behavioral Activation Program With Wearable Sensors and Secure Activity Verification
ClinicalTrials.gov study NCT07382804. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Continuous Data Collection and Analysis for Stroke Prevention Using a Wearable Sensor
ClinicalTrials.gov study NCT03441022. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Rotigotine Effect on Nocturnal Hypokinesia Compares to Placebo Control: A Quantitative Assessment by Wearable Sensors
ClinicalTrials.gov study NCT03098368. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Assessing Innovative Wireless and Wearable Sensors for Continuous Blood Pressure Measurement in Obese Pregnant Women
ClinicalTrials.gov study NCT05790265. IPD Sharing: Not stated. Countries: 0. Publications: 0.
COSMOS: a dataset for Classification Of Stress and workload using multiMOdal wearable Sensors
<p>Prolonged stress and high mental workload can have deteriorating long-term effects developing several stress-related diseases. The existing stress detection techniques are often uni-modal and limited to controlled setups. One sensing modality could be unobtrusive but mostly results in unreliable sensor readings, especially in uncontrolled environments. Our study recorded multi-modal physiological signals from twenty-five participants in controlled and uncontrolled environments by performing given and self-chosen tasks of high and low mental demand. In this version, we processed and published a subset of the dataset from six participants while working on the rest. The subset of the data is used to check the feasibility of our study by engineering features from electroencephalography (EEG), photoplethysmography (PPG), electrodermal activity (EDA), and temperature sensor data. Machine learning methods were used for the binary classification of the tasks. Personalized models in the uncontrolled environment achieved a mean classification accuracy of up to 83% while using one of the four labels, unveiling some unintentional mislabeling by participants. In controlled environments, multi-modality improved the accuracy by at least 7%. Generalized machine learning models achieved close to chance-level performances. This work underlines the importance of multi-modal recordings and provides the research community with an experimental paradigm to take studies of mental workload and stress workload and stress out of controlled into uncontrolled environments<br> </p>
Predicting chronic stress among healthy females using daily-life physiological and lifestyle features from wearable sensors
<p>This dataset containts the recordings of 129 participants that wore the Fitbit Charge 3 for seven consecutive days. Each row represent 1 minute. In this dataset you will find information regarding participants' heart rate (BPM), sleep status, steps and other features. </p> <p>The file "Dict.xlsx" contains description of the different columns in the dataset. </p> <p>The full description of the dataset and of the pre-processing steps can be found in Magal et.al (2022) paper: "Predicting chronic stress among healthy females using daily-life physiological and lifestyle features from wearable sensors". </p> <p>For more information please contact Dr. Roee Admon radmon@psy.haifa.ac.il</p> <p> </p>
ScienceDex guides
Understand access before you commit
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.