Find research datasets worth reusing

A Wearable EducAtional Intervention to REduce Angina

ClinicalTrials.gov study NCT03134105. IPD Sharing: NO. Countries: 0. Publications: 0.

Study on Cardiac Output Evaluation Based on Wearable Monitoring Data

ClinicalTrials.gov study NCT06938893. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.

The Construction and Clinical Application of an Integrated Perioperative Management System for Lung Cancer Based on Wearable Devices and Intelligent Platforms

ClinicalTrials.gov study NCT07310056. IPD Sharing: Not stated. Countries: 0. Publications: 0.

Establish a Telecare Model of Acute Coronary Syndrome Patient With Heart Stent Implantation by a Non-invasive Wearable Device and Artificial Intelligence Cloud to Reducing Medical Adverse Events.

ClinicalTrials.gov study NCT04455568. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.

Wearable Devices Assist in the Detection, Screening, and Management of Major Diseases in Middle-aged and Elderly Populations

ClinicalTrials.gov study NCT06980064. IPD Sharing: NO. Countries: 0. Publications: 0.

Development of the Wearable Arm Volume Measurement Device and Mobile Application

ClinicalTrials.gov study NCT06507033. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.

A Prospective Patient Reported Outcomes and Wearables Study in Myeloproliferative Neoplasms

ClinicalTrials.gov study NCT06334913. IPD Sharing: NO. Countries: 0. Publications: 0.

Feasibility of Wearable Biosensors for Monitoring Daily Activity, Heart Rate, and Sleep Among Patients With Decompensated Cirrhosis

ClinicalTrials.gov study NCT06057870. IPD Sharing: Not stated. Countries: 0. Publications: 0.

A Multimodal Wearable Device-based Study to Evaluate the Efficacy of an Exercise Prescription Intervention in IBD

ClinicalTrials.gov study NCT06427135. IPD Sharing: NO. Countries: 0. Publications: 0.

restrictedJan 2022View details →

Dataset related to the article "Feasibility of remote home monitoring with a T-shirt wearable device in post-recovery COVID-19 patients"

Our study demonstrated that a postdischarge home monitoring program for COVID-19 patients is feasible and well tolerated. The L.I.F.E. T-shirt device was able to collect a full set of cardiorespiratory parameters (i.e. heart rate, a full ECG, respiratory rate, SpO2), both at rest and during brief exercise, which are valuable in patients suffering from respiratory diseases. As the medium-term and long-term consequences of COVID-19 infection are still unknown, implementing strategies of postrecovery monitoring are useful to identify patients at risk of clinical deterioration.7,8 Moreover, it could help to shorten hospital stays, a particularly desirable goal, given the lack of beds typically experienced during a pandemic crisis and, keeping people at home, it could mitigate the in-hospital transmission of COVID-19.7,8 In addition, despite the lack of a specific questionnaire on satisfaction and acceptance, telephone contact was performed on a daily basis to confirm that the study procedures were well tolerated, with most of the patients reporting feeling reassured by being monitored. Our population, as shown by baseline cardiorespiratory parameters, was at low risk of events. The full potential of this kind of home monitoring will not only be probably experienced in the clinical context of more severe COVID-19 patients but also in other clinical scenarios. Finally, given the small sample size, we were able to identify only one patient without any previous disease who presented post-COVID sleep apnea syndrome. Further studies are certainly needed to assess the prevalence and the clinical impact of this complication in post-COVID-19 patients.

restrictedApr 2022View details →

Heart Rate Variability from Wearable Photoplethysmography Systems: Implications in Sleep Studies at High Altitude (dataset)

public anonymized dataset of the main findings of the study Abstract: The interest in photoplethysmography (PPG) for sleep monitoring is increasing because PPG may allow assessing the heart rate variability (HRV), which is particularly important in breathing disorders. Thus, we aim to evaluate how PPG wearable systems measure HRV during sleep at high altitudes, where hypobaric hypoxia induces respiratory disturbances. We considered PPG and electrocardiographic recordings in 21 volunteers sleeping at 4554m asl (as a model of sleep breathing disorder), and 5 alpine guides sleeping at sea level, 6000m and 6800m asl. Power spectra, multiscale entropy, and self-similarity were calculated for PPG tachograms and electrocardiography R-R intervals (RRI). Results demonstrated that wearable PPG devices provide HRV measures even at extremely high altitudes. However, the comparison between PPG tachograms and RRI showed discrepancies in the faster spectral components and at the shorter scales of self-similarity and entropy (TABLE 1). Furthermore, the changes in sleep HRV from sea level to extremely high altitudes quantified by RRI and PPG tachograms in the 5 alpine guides tended to be different at the faster frequencies and shorter scales (TABLE 2). Discrepancies may be explained by modulations of pulse wave velocity and should be considered to interpret correctly autonomic alterations during sleep from HRV analysis.

restrictedcc-by-4.0Sep 2024View details →

Remote EEG Dataset Collected with Consumer-grade Wearables from Patients with Brain Tumours

Open the record for dataset details and reuse information.

restrictedDec 2022View details →

EEGEMO: a Wearable EEG Dataset for Online Emotion Classification

Electroencephalography (EEG) -based emotion recognition is being widely applied because it measures electrical correlates directly from the brain rather than the indirect measurement of other physiological responses initiated by the brain. The recent development of non-invasive and portable EEG sensors makes it possible to use them in real-time applications. This dataset contains EEG data of 15 participants from two commercial EEG devices: Muse S headband and Neurosity Crown. The participants watched a total of 16 short videos which elicited emotions from the valence arousal domain. We developed a lightweight emotion classification pipeline from this dataset which could be used in real-time in the future. Moreover, the dataset is compatible with the state-of-art AMIGOS dataset, and the developed pipeline outperforms the classification results obtained from the AMIGOS dataset.

restrictedAug 2022View details →

Feasibility of Blood Pressure Measurement With a Wearable (Watch-Type) Monitor During Impending Syncopal Episodes

BACKGROUND: We assessed the reliability and feasibility of blood pressure (BP) measurements by means of a new wearable watch-type BP monitor (HeartGuide) in detecting episodes of hypotensive (pre)syncope induced by tilt table test. METHODS AND RESULTS: An intrapatient comparison between systolic BP (SBP) measured by means of the HeartGuide device and noninvasive finger beat-to- beat BP monitoring was undertaken both at baseline in supine position and repeatedly during tilt table test in patients evaluated for reflex syncope. Intrapatient fall of systolic BP from baseline was measured. Eighty-one patients (mean age, 61±19 years; 46 women) were included. Overall, HeartGuide was able to yield BP values at the time of BP nadir in 58 (72%) patients (average HeartGuide SBP 102±18 mm Hg, versus finger SBP 101±19 mm Hg). Compared with baseline, the maximum SBP decrease was on average −28.5±27.8 and −30.3±33.9 mm Hg respectively (Lin’s concordance correlation coefficient=0.78, r=0.79, P=0.001). In the subgroup of 38 patients with tilt table test induced (pre)syncope, the average HeartGuide SBP during symptoms was 97±16 mm Hg, and the finger SBP was 94±18 mm Hg. Compared with baseline, the maximum SBP decrease was on average −35.2±29.3 and −43.3±31.8 mm Hg, respectively (Lin’s concordance correlation coefficient=0.83, r=0.87, P=0.001). CONCLUSIONS: Our data indicate that the HeartGuide BP monitor can detect low BP during presyncope and that its measure of SBP change is consistent with that simultaneously obtained through continuous BP monitoring, despite some intrapatient variability. Thus, this device might be useful in determining the hypotensive nature of spontaneous (pre)syncopal symptoms, a possibility that should be verified by field studies.

restrictedFeb 2023View details →

Wearable Activity Tracker Data

Wearable Activity Tracker Data SQLite database of wearable activity tracker users (N=88) data collected for 4 months. The data has been collected between May 15th 2020 and September 15th 2020 in Switzerland, and is part of the data originally used in <a href="https://www.usenix.org/conference/usenixsecurity23/presentation/zufferey">this study</a>. The data was collected with a Fibit Inspire HR. <ul> <li>Age of participants: min. age: 18 y.o., max age: 31 y.o., mean age: 21.1 y.o., std age: 2.2 y.o.</li> <li>Gender of participants: women: 67%, men: 33%</li> </ul> For each of the 88 users, we collected: <ul> <li>step count for every minute</li> <li>heart rate for every minute</li> <li>resting heart rate</li> <li>sleep data <ul> <li>fall asleep time</li> <li>duration</li> <li>sleep quality</li> <li>restless times</li> <li>restless duration</li> </ul> </li> <li>all automatically detected activities <ul> <li>type (e.g., walking, swimming)</li> <li>duration</li> <li>time</li> </ul> </li> <li>gender (as declared in the Fitbit profile)</li> </ul>