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Dataset results
93 results for “wearable sensor”
LA-CEAL 4.0: Wearable Sensor Project
ClinicalTrials.gov study NCT06086028. IPD Sharing: Not stated. Countries: 1. Publications: 3.
CMT1A-BioStampNPoint2023: Charcot-Marie-Tooth disease type 1A accelerometry dataset from three wearable sensor study
Open the record for dataset details and reuse information.
Use of wearable sensors to assess compliance of asthmatic children in response to lockdown measures for the COVID-19 epidemic
<p>Dataset from LIFE-MEDEA participants (asthmatic children) from Cyprus and Greece, including Study ID, gender, age, study year, ambient temperature, ambient humidity, recording day, percentage of time staying at home, steps per day, callendar day, calendar week, date, lockdown status (phase 1, 2, or 3) due to COVID-19 pandemic, and if the date was during the weekend (binary variable).</p>
Improving the reliability of underwater gait analysis using wearable pressure and inertial sensors
<p><strong>Improving the reliability of underwater gait analysis using wearable pressure and inertial sensors</strong></p> <p> </p> <p>This work addresses the lack of reliable wearable methods to assess walking gaits in underwater environments by evaluating the lateral hydrodynamic pressure exerted on lower limbs. Sixteen healthy adults were outfitted with waterproof wearable inertial and pressure sensors. Gait analysis was conducted on land in a motion analysis laboratory using an optoelectronic system as reference, and subsequently underwater in a rehabilitation swimming pool. Differences between the normalized land and underwater gaits were evaluated using temporal gait parameters, knee joint angles and the total water pressure on the lower limbs. The proposed method was validated against the optoelectronic system on land; gait events were identified with low bias (0.01s) using Bland-Altman plots for the stride time, and an acceptable error was observed when estimating the knee angle (10.96° RMSE, Bland-Altman bias -2.94°). The kinematic differences between the land and underwater environments were quantified, where it was observed that the temporal parameters increased by more than a factor of two underwater (p<0.001). The subdivision of swing and stance phases remained consistent between land and water trials. A higher variability of the knee angle was observed in water (CV = 60.75%) as compared to land (CV = 31.02%). The intra-subject variability of the hydrodynamic pressure on the foot (CVz = 39.65%) was found to be substantially lower than that of the knee angle (CVz = 67.69%). The major finding of this work is that the hydrodynamic pressure on the lower limbs may offer a new and more reliable parameter for underwater motion analysis as it provided a reduced intra-subject variability as compared to conventional gait parameters applied in land-based studies.</p> <p> </p>
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.
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 Measurement of Nocturnal Hypokinesia in Parkinson's Disease (PD) Patient Compared With Spouse by Wearable Sensors
ClinicalTrials.gov study NCT02352727. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Wearable Sensors for Monitoring Recovery After Total Knee Arthroplasty
ClinicalTrials.gov study NCT05992064. IPD Sharing: UNDECIDED. Countries: 1. Publications: 14.
Cardiac Telerehabilitation Effectiveness Using Wearable Sensors
ClinicalTrials.gov study NCT05019157. IPD Sharing: NO. Countries: 1. Publications: 1.
ArmeoSenso - Home Therapy and Assessment for Patients With Arm Impairments Based on Wearable Movement Sensors
ClinicalTrials.gov study NCT02098135. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Gait-Training Using Wearable Sensors
ClinicalTrials.gov study NCT04270565. IPD Sharing: NO. Countries: 1. Publications: 10.
Evaluating Wearable Smart Sensors for Continuous Measurement of Vital Signs in ICU Patients
ClinicalTrials.gov study NCT04723654. IPD Sharing: Not stated. Countries: 1. Publications: 2.
A Study AnalyZing a NovEl Wearable SeNsor for Remote PatIent Health Monitoring
ClinicalTrials.gov study NCT03993886. IPD Sharing: NO. Countries: 1. Publications: 3.
Effects of Wearable Sensor Based Virtual Reality Game on Balance for Stroke
ClinicalTrials.gov study NCT04297774. IPD Sharing: NO. Countries: 1. Publications: 16.
Wearable Sensors for Delirium Detection at an Early Stage (WeSen_delirium)
ClinicalTrials.gov study NCT05677646. IPD Sharing: NO. Countries: 1. Publications: 10.
Source code and data files for the acoustic sensor-based wearable fetal movement monitor
<p>This repository contains data files and source code for the acoustic sensor-based wearable fetal movement monitor.</p>
A Sub Study to Evaluate the Study Medication (Etrasimod) Using Wearable Sensors in Healthy Participants
ClinicalTrials.gov study NCT06140290. IPD Sharing: NO. Countries: 1. Publications: 0.
Wearable Sensors and Machine Learning for the Assessment of Biomechanical Risk in Lifting Tasks
ClinicalTrials.gov study NCT05777304. IPD Sharing: NO. Countries: 0. Publications: 4.
Wearable Sensor for Responsive DBS for ET
ClinicalTrials.gov study NCT03051178. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Measuring Dysphagia After ACDF Surgery Through A Novel Wearable Sensor
ClinicalTrials.gov study NCT04921800. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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)
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.