NuCare Band [cardiac bio-system monitoring]

Undergraduate Engineering students are required to complete a group-based, two-course capstone sequence: ENSC 405W and ENSC 440.  Groups form company structures and create an innovative product that potentially acts as a solution to a real-life problem.  This collection archives the following assignments: proposal, design specifications, requirements specifications, and proof of concept

Synthetic STATA test data for Exercise ECG weighted clinical likelihood

The dataset contains data from 100 synthetic patients undergoing ExECG for coronary artery disease in constructed using synthpop https://cran.r-project.org/web/packages/synthpop/index.html The dataset is used for testing of https://github.com/CardioLab/ExECG-C

Synthetic patients with chronic coronary syndrome

Synthetic STATA dataset of patients referred for testing with suspected chronic coronary syndrome The dataset in constructed using synthpop https://cran.r-project.org/web/packages/synthpop/index.html The data is derived from the dataset used in: Winther, S., Schmidt, S. E., Mayrhofer, T., Bøtker, H. E., Hoffmann, U., Douglas, P. S., Wijns, W., Bax, J., Nissen, L., Lynggaard, V., Christiansen, J. J., Saraste, A., Bøttcher, M., & Knuuti, J. (2020). Incorporating Coronary Calcification Into Pre-Test Assessment of the Likelihood of Coronary Artery Disease. Journal of the American College of Cardiology, 76(21), 2421-2432. https://doi.org/10.1016/j.jacc.2020.09.58

Data for: Multichannel Seismocardiography: An Imaging Modality for Investigating Heart Vibrations

Seismocardiography is the measurement of vibration waves caused by the beating heart with accelerometer(s) placed on the chest. Investigating the nature and the behavior of these vibration waves, by comparing measurements from multiple sites, would help to understand the heart’s mechanical contraction activity. Using newly designed multichannel seismocardiogram equipment, it was possible to investigate the vibration waves with 16 three-axis sensors. The equipment performed well with highly precise synchronization rate over 10 min, linear frequency response and high signal quality. The vibration waves were analyzed using the sagittal axis, a single cardiac cycle and focusing on four fiducial points. Two of the fiducial point where the negative and positive peaks associated with aorta valve opening, along with peaks associated with aorta valve closing. The respective average centers of mass of the four fiducial points in 13 subjects were at (frontal axis: 35 mm, vertical axis: 5 mm), (31, 6), (26, 24), and (4, -2), relative to the Xiphoid Process. Similar patterns among the subjects were identified for the propagation of the waves across the chest for the 4 fiducial points. The multichannel seismocardiogram equipment successfully revealed a general pattern present in chest surface vibration maps. Multichannel Seismocardiography from 13 healthy subjects. Measurements were conducted on 13 male subjects with mean age 27±4 years, and mean BMI of 24±4 kg·m-2. The study was approved by the North Denmark Region Committee on Health Research Ethics: N-20170008. The sensors were placed in a 4 by 4 grid formation on the volunteer’s chest, along with a 3-lead ECG and a respiration belt. The sensor grid was placed such that the sensor in location 3,2 was placed at the Xiphoid Process, and such that the centers of adjacent sensors were spaced at approximately 40 mm. Subjects were placed in a supine position and minimum 1-minute recordings were obtained with a 500 Hz sampling rate

Data for: Multichannel Seismocardiography: An Imaging Modality for Investigating Heart Vibrations

Seismocardiography is the measurement of vibration waves caused by the beating heart with accelerometer(s) placed on the chest. Investigating the nature and the behavior of these vibration waves, by comparing measurements from multiple sites, would help to understand the heart’s mechanical contraction activity. Using newly designed multichannel seismocardiogram equipment, it was possible to investigate the vibration waves with 16 three-axis sensors. The equipment performed well with highly precise synchronization rate over 10 min, linear frequency response and high signal quality. The vibration waves were analyzed using the sagittal axis, a single cardiac cycle and focusing on four fiducial points. Two of the fiducial point where the negative and positive peaks associated with aorta valve opening, along with peaks associated with aorta valve closing. The respective average centers of mass of the four fiducial points in 13 subjects were at (frontal axis: 35 mm, vertical axis: 5 mm), (31, 6), (26, 24), and (4, -2), relative to the Xiphoid Process. Similar patterns among the subjects were identified for the propagation of the waves across the chest for the 4 fiducial points. The multichannel seismocardiogram equipment successfully revealed a general pattern present in chest surface vibration maps. Multichannel Seismocardiography from 13 healthy subjects. Measurements were conducted on 13 male subjects with mean age 27±4 years, and mean BMI of 24±4 kg·m-2. The study was approved by the North Denmark Region Committee on Health Research Ethics: N-20170008. The sensors were placed in a 4 by 4 grid formation on the volunteer’s chest, along with a 3-lead ECG and a respiration belt. The sensor grid was placed such that the sensor in location 3,2 was placed at the Xiphoid Process, and such that the centers of adjacent sensors were spaced at approximately 40 mm. Subjects were placed in a supine position and minimum 1-minute recordings were obtained with a 500 Hz sampling rate

Danish study of Radiomics

This dataset contains sensitive data and is therefore not openly available. A description of the dataset is provided below: This dataset contains pseudonymized data for the Danish study of Radiomics (Dan-R), and will undergo updates with addition of data. Dan-R is an ongoing retrospective multicenter study with patient data from The North Denmark Region, The Central Denmark Region, The Region of Southern Denmark, and The Western Denmark Heart Registry. The data consist of imaging data, coronary artery calcium score, and corresponding reported outcomes from patients reporting with symptoms of severe arteriosclerotic vascular disease referred to cardiac CT imaging. Dan-R aims to facilitate the development of machine learning solutions for detection of e.g., atherosclerosis or coronary artery disease based on cardiac CT imaging

Supplementary Material for: Left Atrial Remodeling and Cerebrovascular Disease Assessed by Magnetic Resonance Imaging in Continuously Monitored Patients

Background: Atrial remodeling is associated with future atrial fibrillation (AF) and stroke. AF has been associated with cognitive impairment and cerebral white matter lesions. We wished to investigate the possible direct association between atrial remodeling and cerebrovascular disease in patients with and without AF documented by implantable loop recorder (ILR). Methods: Cardiac and cerebral magnetic resonance imaging were acquired in a cross-sectional study, including participants ≥70 years of age with stroke risk factors without known AF. Cerebrovascular disease was visually rated using the Fazekas scale and number of lacunar strokes. Left atrial (LA) and ventricular volumes and function were analyzed. Associations between atrial remodeling and cerebrovascular disease were assessed with logistic regression models. The analyses were stratified according to sinus rhythm or any AF during 3 months of continuous ILR monitoring to account for subclinical AF. Results: Of 200 participants investigated, 87% had a Fazekas score ≥1 and 45% had ≥1 lacunar infarct. Within 3 months of ILR monitoring, AF was detected in 28 (14%) participants. For participants with sinus rhythm (n = 172), lower LA passive emptying fraction was associated with Fazekas score after multivariable adjustment (OR [95% CI]: 0.51 [0.27; 0.86] p = 0.02), and increased LA maximum (OR [95% CI]: 1.38 [1.07; 1.82] p = 0.01) and minimum volumes (OR [95% CI]: 1.48 [1.03; 2.17] p = 0.04) were associated with lacunar infarcts. There were no significant associations in patients with AF. Conclusion: In AF-free patients, as documented by ILR monitoring, we found an independent association between LA passive emptying fraction and Fazekas score and between atrial volumes and lacunar infarcts

Prediction of postoperative atrial fibrillation with postoperative epicardial electrograms

Objectives. New-onset postoperative atrial fibrillation (POAF) is a common complication after cardiac surgery. The arrhythmia often entails a longer hospital stay, greater risk of other complications, and higher mortality both short- and long-term. An investigation of the use of early atrial electrograms in predicting POAF in cardiac surgery was performed. Design. In this prospective observational study, a total of 99 consecutive adult patients undergoing coronary artery bypass grafting, valve surgery or both were included. On the first postoperative morning, standard 12-lead electrograms (ECG), unipolar atrial electrograms (aEG), and vital values were recorded. The outcome was new-onset POAF within one month postoperatively. Results. Three multivariable prediction models for POAF were formed using measurements derived from the ECG, aEG, and patient characteristics. Age, body mass index, and two unipolar electrogram measurements quantifying local activation time and fractionation were strongly associated with the outcome POAF. The performance of the POAF prediction models was assessed through receiver operating curve characteristics with cross-validation, and discrimination using the leave-one-out-method to internally validate the models. The cross-validated area under the receiver operating characteristic curve (AUC) was improved in a prediction model using atrial-derived electrogram variables (AUC 0.796, 95% CI 0.698–0.894), compared with previous ECG and clinical models (AUC 0.716, 95% CI 0.606–0.826 and AUC 0.718, 95% CI 0.613–0.822, respectively). Conclusions. This study found that easily obtainable measurements from atrial electrograms may be helpful in identifying patients at risk of POAF in cardiac surgery

Prediction of postoperative atrial fibrillation with postoperative epicardial electrograms

Objectives. New-onset postoperative atrial fibrillation (POAF) is a common complication after cardiac surgery. The arrhythmia often entails a longer hospital stay, greater risk of other complications, and higher mortality both short- and long-term. An investigation of the use of early atrial electrograms in predicting POAF in cardiac surgery was performed. Design. In this prospective observational study, a total of 99 consecutive adult patients undergoing coronary artery bypass grafting, valve surgery or both were included. On the first postoperative morning, standard 12-lead electrograms (ECG), unipolar atrial electrograms (aEG), and vital values were recorded. The outcome was new-onset POAF within one month postoperatively. Results. Three multivariable prediction models for POAF were formed using measurements derived from the ECG, aEG, and patient characteristics. Age, body mass index, and two unipolar electrogram measurements quantifying local activation time and fractionation were strongly associated with the outcome POAF. The performance of the POAF prediction models was assessed through receiver operating curve characteristics with cross-validation, and discrimination using the leave-one-out-method to internally validate the models. The cross-validated area under the receiver operating characteristic curve (AUC) was improved in a prediction model using atrial-derived electrogram variables (AUC 0.796, 95% CI 0.698–0.894), compared with previous ECG and clinical models (AUC 0.716, 95% CI 0.606–0.826 and AUC 0.718, 95% CI 0.613–0.822, respectively). Conclusions. This study found that easily obtainable measurements from atrial electrograms may be helpful in identifying patients at risk of POAF in cardiac surgery