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80 results for “smartwatch”
A LONGITUDINAL OBSERVATIONAL STUDY to EVALUATE the EFFICACY of MOVEMENT and IMPLEMENT CONCRETE MOVEMENT RECOMMENDATIONS with the HELP of MOBILITY TRACKING with SMARTWATCHES in SUBJECTS with AXIAL SPON
ClinicalTrials.gov study NCT06807853. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Smartwatch and External Holter Monitoring to Detect Atrial Fibrillation in Patients With Cryptogenic Stroke
ClinicalTrials.gov study NCT05565781. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessing the Effect of Cool Roofs on Health Using Smartwatches in Hermosillo, Mexico
ClinicalTrials.gov study NCT06831006. IPD Sharing: YES. Countries: 1. Publications: 0.
Assessing the Effect of Cool Roofs on Health Using Smartwatches in Ouagadougou, Burkina Faso
ClinicalTrials.gov study NCT06842641. IPD Sharing: YES. Countries: 1. Publications: 0.
The Effect of the LEFT Smartwatch App as Sleep Positional Therapy for Nocturnal Gastroesophageal Reflux Symptoms.
ClinicalTrials.gov study NCT06075082. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Early Detection of noctUrnal hypoglyCemiA in TypE 2 Diabetes Using Pulse Rate Variability Measured by a Smartwatch(EDUCATED-Smartwatch)
ClinicalTrials.gov study NCT05636007. IPD Sharing: NO. Countries: 1. Publications: 0.
SmartWatch ECG Evaluation Trial I
ClinicalTrials.gov study NCT05942274. IPD Sharing: NO. Countries: 1. Publications: 0.
Smartwatch-Based AI Model for OSA Prediction (SWOSA)
ClinicalTrials.gov study NCT06792188. IPD Sharing: YES. Countries: 1. Publications: 0.
An Observational Pilot Study to Test a Smartwatch-based EMA Method During Exercise With Breast Cancer Survivors
ClinicalTrials.gov study NCT05868746. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessing the Effect of Cool Roofs on Health Using Smartwatches in Niue
ClinicalTrials.gov study NCT06571019. IPD Sharing: YES. Countries: 1. Publications: 0.
Evaluating the Validity and Feasibility of a Smartwatch-based Eating Detection System to Passively and Automatically Detect Eating Events in Child-parent Dyads
ClinicalTrials.gov study NCT07290179. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Perioperative Smartwatch Monitoring to Predict Complications
ClinicalTrials.gov study NCT06156033. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evaluation of an Innovative Smart T-shirt Capable to Monitor ECG Signal and Related Parameters Through the Comparison With a Holter ECG and a Smartwatch
ClinicalTrials.gov study NCT05771142. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Development of The Pediatric Physical Activity Tracking Platform (Pedi@Ctivity) and Smartwatch-based Big Data Analysis
ClinicalTrials.gov study NCT05509907. IPD Sharing: NO. Countries: 1. Publications: 0.
Smartwatch ABPM vs. Conventional ABPM
ClinicalTrials.gov study NCT04553861. IPD Sharing: NO. Countries: 1. Publications: 0.
Health-Related Physical Fitness Level From Smartwatches
ClinicalTrials.gov study NCT06805422. IPD Sharing: NO. Countries: 1. Publications: 0.
SmartWatch-driven AF Detection in Stroke Patients
ClinicalTrials.gov study NCT06832579. IPD Sharing: YES. Countries: 1. Publications: 0.
Myopia Prevention Through Monitoring and Motivating Outdoor Activities With Smartwatches
ClinicalTrials.gov study NCT05760911. IPD Sharing: NO. Countries: 0. Publications: 0.
Comparison of Perfusion Index Monitoring Using a Smartwatch and a Pulse Oximeter
ClinicalTrials.gov study NCT06626217. IPD Sharing: YES. Countries: 0. Publications: 0.
Biometric sensor and smartwatch response data collected during VR user studies for Worker Safety III
<p>Two related datasets are included documenting users' sensor data and responses to alarms on a smartwatch during virtrual reality (VR) worker safety experiments on an integrated traffic simulation and VR platform.</p> <ul> <li><strong>watchData.csv </strong>records the times at which the user received an alarm on an Apple Watch and times when they tapped the watch screen to acknowledge the alarm.</li> <li><strong>HRData.csv</strong> records blood volume pulse (BVP), inter-beat interval (IBI), and heart rate (HR) data for each user Data was recorded using an Empatica E4 PPG (photoplethysmography) wristband.</li> </ul> <p>Both csv files shared the same column headers with the following descriptions:</p> <ul> <li>UserID - Each user has a unique 4 digit ID randomly assigned to them at their first VR experiment.</li> <li>Scenario - Indicates which work zone safety Scenario the user experienced. <ul> <li>Scenario 1: Placing cones in a mobile work zone</li> <li>Scenario 2: Sensor installation on highway</li> <li>Scenario 3: Surveying in urban intersections</li> </ul> </li> <li>Trial - Indicates how many times they have experienced the same VR scenario (i.e. Scenario 3, Trial 2 means the user is experiencing Scenario 3 for the second time)</li> <li>VibrationOnly - Indicates the modality of alarms the user received during the trial. <ul> <li>VibrationOnly = 1 indicates that the alarms were haptic/vibrations only.</li> <li>VibrationOnly = 0 indicates that the alarms were haptic/vibrations AND sounds.</li> </ul> </li> <li>Timestamp - Local timestamp of the data recording</li> <li>Time Elapsed - Time that has passed since the start of the trial</li> <li>From - Indicates the source of the data <ul> <li>From = PPG - indicates the data is from the heart rate sensor</li> <li>From = Watch - indicates the data is from the Apple smartwatch, generally applies to when the user has responded on the watch/acknowledged the watch alarm</li> <li>From = VR - indicates the data is from the traffic simulation, generally applies to when speeding/collision cars trigger an alarm on the Apple smartwatch</li> <li>From = Ultrasonic - indicates the data is from an ultrasonic sensor detecting when the user was on the edge of the work zone perimeter.</li> </ul> </li> <li>Event - indicates the event being recorded <ul> <li>BVP/IBI/HR - indicates the meaning of the three numbers in the Values column (see Values below)</li> <li>Start Simulation - indicates when the trial began</li> <li>Received car approaching alert, <strong>mode=x, id=xxx</strong> <ul> <li><strong>Mode </strong>indicates the type of alarm duration, frequency, and number of repetitions.</li> <li>ID indicates the cause of the alarm</li> </ul> </li> </ul> </li> <li>Type - indicates additional categorizations of events <ul> <li>Speeding/Collision - indicates the alarm was caused by a speeding or collision car</li> <li>Perimeter - indicates the alarm was triggered when the user was on the edge of the work zone perimeter.</li> <li>Response - indicates the user responded/acknowledged the alarm on the smartwatch by tapping the watch screen.</li> <li>BVP/IBI/HR - indicates the meaning of the three numbers in the Values column (see Values below)</li> </ul> </li> <li>Values <ul> <li>For Type=Response, Values indicates the alarm id the user responded to. Response time has to be calculated by subtracting the Time Elapsed of the Response row with the corresponding Time Elapsed of the alarm id row</li> <li>For Type="Received...", Values indicates the alarm mode and id</li> <li>For Type=BVP/IBI/HR, three values are listed indicating respectively blood volume pulse (BVP), inter-beat interval (IBI), and heart rate (HR) data</li> </ul> </li> </ul> <p>Data requests and inquiries can be made by contacting Dr. Semiha Ergan at semiha@nyu.edu</p>
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