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648 results for “heart rate”
Data for: Non-invasive measurements of respiration and heart rate across wildlife species using Eulerian Video Magnification of infrared thermal imagery
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Body temperature and heart rate of free living blackbirds
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High heart rates in hunting porpoises
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Data from: Body temperature, heart rate, and activity patterns of two boreal homeotherms in winter: homeostasis, allostasis, and ecological coexistence
<ol> <li>Organisms survive environmental variation by combining homeostatic regulation of critical states with allostatic variation of other traits, and species differences in these responses can contribute to coexistence in temporally-variable environments.</li> <li>In this paper, we simultaneously record variation in three functional traits – body temperature (Tb), heart rate, and activity - in relation to three forms of environmental variation – air temperature (Ta), photoperiod, and experimentally-manipulated resource levels – in free-ranging snowshoe hares and North American red squirrels to characterize distinctions in homeotherm responses to the extreme conditions of northern boreal winters.</li> <li>Hares and squirrels differed in the level and precision of Tb regulation, but also in the allostatic pathways necessary to maintain thermal homeostasis. Hares demonstrated a stronger metabolic pathway (through heart rate variation reflective of the thermogenesis), while squirrels demonstrated a stronger behavioral pathway (through activity variation that minimizes cold exposure).</li> <li>As intermediate-sized, winter-active homeotherms, hares and squirrels share many functional attributes, yet, through the integrated monitoring of multiple functional traits in response to shared environmental variation, our study reveals many pairwise species differences in homeostatic and allostatic traits, that both define and are defined by the natural history, functional niches, and coexistence of sympatric species.</li> </ol>
Data from: Development and validation of warning system of ventricular tachyarrhythmia in patients with heart failure with heart rate variability data
Implantable-cardioverter defibrillators (ICD) detect and terminate life-threatening ventricular tachyarrhythmia with electric shocks after they occur. This puts patients at risk if they are driving or in a situation where they can fall. ICD's shocks are also very painful and affect a patient's quality of life. It would be ideal if ICDs can accurately predict the occurrence of ventricular tachyarrhythmia and then issue a warning or provide preventive therapy. Our study explores the use of ICD data to automatically predict ventricular arrhythmia using heart rate variability (HRV). A 5 minute and a 10 second warning system are both developed and compared. The participants for this study consist of 788 patients who were enrolled in the ICD arm of the Sudden Cardiac Death – Heart Failure Trial (SCD-HeFT). Two groups of patient rhythms, regular heart rhythms and pre-ventricular-tachyarrhythmic rhythms, are analyzed and different HRV features are extracted. Machine learning algorithms, including random forests (RF) and support vector machines (SVM), are trained on these features to classify the two groups of rhythms in a subset of the data comprising the training set. These algorithms are then used to classify rhythms in a separate test set. This performance is quantified by the area under the curve (AUC) of the ROC curve. Both RF and SVM methods achieve a mean AUC of 0.81 for 5-minute prediction and mean AUC of 0.87-0.88 for 10-second prediction; an AUC over 0.8 typically warrants further clinical investigation. Our work shows that moderate classification accuracy can be achieved to predict ventricular tachyarrhythmia with machine learning algorithms using HRV features from ICD data. These results provide a realistic view of the practical challenges facing implementation of machine learning algorithms to predict ventricular tachyarrhythmia using HRV data, motivating continued research on improved algorithms and additional features with higher predictive power.
Data from: A 45-second self-test for cardiorespiratory fitness: heart rate-based estimation in healthy individuals
Cardio-respiratory fitness (CRF) is a widespread essential indicator in Sports Science as well as in Sports Medicine. This study aimed to develop and validate a prediction model for CRF based on a 45 second self-test, which can be conducted anywhere. Criterion validity, test re-test study was set up to accomplish our objectives. Data from 81 healthy volunteers (age: 29 ± 8 years, BMI: 24.0 ± 2.9), 18 of whom females, were used to validate this test against gold standard. Nineteen volunteers repeated this test twice in order to evaluate its repeatability. CRF estimation models were developed using heart rate (HR) features extracted from the resting, exercise, and the recovery phase. The most predictive HR feature was the intercept of the linear equation fitting the HR values during the recovery phase normalized for the height2 (r2 = 0.30). The Ruffier-Dickson Index (RDI), which was originally developed for this squat test, showed a negative significant correlation with CRF (r = -0.40), but explained only 15% of the variability in CRF. A multivariate model based on RDI and sex, age and height increased the explained variability up to 53% with a cross validation (CV) error of 0.532 L ∙ min-1 and substantial repeatability (ICC = 0.91). The best predictive multivariate model made use of the linear intercept of HR at the beginning of the recovery normalized for height2 and age2; this had an adjusted r2 = 0. 59, a CV error of 0.495 L·min-1 and substantial repeatability (ICC = 0.93). It also had a higher agreement in classifying CRF levels (κ = 0.42) than RDI-based model (κ = 0.29). In conclusion, this simple 45 s self-test can be used to estimate and classify CRF in healthy individuals with moderate accuracy and large repeatability when HR recovery features are included.
Data from: Measuring embryonic heart rate of wild birds: an opportunity to take the pulse on early development
Embryonic heart rate has the potential to provide great insight into physiological variation and ontogenic status in early development. The availability of a relatively inexpensive and portable piece of equipment – the Buddy egg monitor (Vetronic Services, UK), provides the opportunity to measure embryonic heart rate non-invasively in the field. Here we demonstrate the application of this equipment in the climatically harsh Australian outback. We characterize variation in embryonic heart rate in the zebra finch with respect to a range of abiotic and biotic variables. Heart rate increased throughout embryonic development and was positively correlated with ambient temperature. There was a strong effect of the nest of origin but no clear effect of laying order, or egg size, on embryonic heart rate. Our results demonstrate the sensitivity of embryonic heart rate to environmental conditions, and/or natal origin. We review studies that have used the digital egg monitor, and in discussing our own results identify areas of avian biology that could benefit from embryonic heart rate measurements in the future.
Data from: Cold-hearted bats: uncoupling of heart rate and metabolism during torpor at subzero temperatures
Many hibernating animals thermoregulate during torpor and defend their body temperature (Tb) below 10°C by an increase in metabolic rate. Above a critical temperature (Tcrit) animals usually thermoconform. We investigated the physiological responses above and below Tcrit for a small tree dwelling bat (Chalinolobus gouldii, ~14 g) that is often exposed to subzero temperatures during winter. Through simultaneous measurement of heart rate (HR) and oxygen consumption (V̇O2) we show that the relationship between oxygen transport and cardiac function is substantially altered in thermoregulating torpid bats between 1 and -2°C, compared with thermoconforming torpid bats at mild ambient temperatures (Ta 5-20°C). Tcrit for this species was Ta 0.7 ± 0.4°C, with a corresponding Tb of 1.8 ± 1.2°C. Below Tcrit animals began to thermoregulate, indicated by a considerable but disproportionate increase in both HR and V̇O2. The maximum increase in HR was only 4-fold greater than the average thermoconforming minimum, compared to a 46-fold increase in V̇O2. The differential response of HR and V̇O2 to low Ta was reflected in a 15-fold increase in oxygen delivery per heart beat (cardiac oxygen pulse). During torpor at low Ta, thermoregulating bats maintained a relatively slow HR and compensated for increased metabolic demands by significantly increasing stroke volume and tissue oxygen extraction. Our study provides new information on the relationship between metabolism and HR in an unstudied physiological state that may occur frequently in the wild and can be extremely costly for heterothermic animals.
Breathing Rate and Heart Rate Dataset using Integrated mmWave FMCW Radar and Camera Steering System
<p>The presented dataset consists of raw and transformed CWT images of the breathing and heart waveforms obtained from a radar<br> and IP camera setup. The setup is a self-proposed setup with a mmWave radar mounted over an IP camera and can capture<br> the breathing and heart waveforms of the person in the room in front of the system in any orientation. The dataset can be used to estimate the vital signs using any machine learning model and important information about the respiration rate and pulse rate<br> can then be obtained. The dataset is a total of 1280 images- 720 raw and 720 processed. The processed dataset is labeled in six different classes. The first bifurcation is between breath and heart, breath signal is classified as low, normal, and high whereas the heart signal is classified as low, normal, and slightly low. The subject is oriented in differently so that the setup can steer towards the person and capture the breath and heart signals accordingly.</p>
HR Measures From Four Consumer-Grade Optical Heart Rate Sensors with Gold Standard ECG Reference
<p>Accompanying paper that explains data collection, research methods, cleaning etc. is under review as:</p> <p>"Validity of Four Consumer-Grade Optical Heart Rate Sensors for Assessing Volume and Intensity Distribution of Physical Activity"</p> <p>Currently with: Scandinavian Journal of Medicine & Science in Sports TBD, 2024-12-31</p> <p>Four files contain HR data at 1 Hz for each of the devices (Garmin Venu2S and Polar Vantage M2, and the upper arm-worn Polar Verity Sense and Scosche Rhythm24) [device column] paired with medical-grade ECG [ecg column], Type: EP830, Amedtec ECGpro, Aue, Germany</p>
Heart rate variability as a prognostic marker in critically ill patients
<p>Master Data Sheet</p>
The Predictive Value of Heart Rate Variability for the Prognosis of Patients With Mild to Moderate Traumatic Brain Injury
ClinicalTrials.gov study NCT07024381. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Impact of Carbetocin Administration on Heart Rate When Given as an Infusion Versus as a Bolus.
ClinicalTrials.gov study NCT03404544. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Heart Rate Variability in Febrile Young Infants
ClinicalTrials.gov study NCT04103151. IPD Sharing: NO. Countries: 1. Publications: 2.
Echocardiographic and Arterial Pressure Waveform Changes After Reducing Heart Rate With Esmolol in Septic Shock Patients
ClinicalTrials.gov study NCT02188888. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Influences of Long Periods of Pneumoperitoneum and Head up Position on the Variation of Heart-rate Corrected QT Interval During Robotic-assisted Laparoscopic Gastrectomy - Observational Study
ClinicalTrials.gov study NCT02604979. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Uterine, Fetal Cerebral Doppler and Oligohydramnios to Predict Abnormal Heart Rate Tracings in Postterm Pregnancies
ClinicalTrials.gov study NCT03703037. IPD Sharing: Not stated. Countries: 1. Publications: 5.
HEART Rate Variability Biofeedback in LOng COVID-19 (HEARTLOC)
ClinicalTrials.gov study NCT05228665. IPD Sharing: YES. Countries: 1. Publications: 2.
Moyo; strap-on Fetal Heart Rate Monitoring in a Rural Setting
ClinicalTrials.gov study NCT02790814. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of Interscalene Block on Heart Rate Variability (HRV)
ClinicalTrials.gov study NCT01185457. IPD Sharing: Not stated. Countries: 1. Publications: 6.
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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.