HeartCycle: A comprehensive dataset of synchronized impedance cardiography and echocardiography for hemodynamic predictions

health life sciences medicine

Description

The "HeartCycle" dataset offers a comprehensive collection of synchronized impedance cardiography (ICG) and echocardiography (ECHO) signals, supplemented with finger photoplethysmography (PPG), heart sounds, and electrocardiography (ECG) data from 17 healthy volunteers. Collected during the HeartCycle project (FP7-216695), this dataset aims to address biases in the ICG waveform, particularly the ABEXYOZ complex, where the B and X points do not precisely align with the aortic valve opening and closing notches. The biases in B and X point detection are critical for hemodynamic prediction because these characteristic points are used to calculate essential diagnostic parameters, including systolic time intervals (PEP and LVET), contractility, stroke volume, and cardiac output. By providing synchronized ICG and ECHO signals, researchers can better understand these biases and develop more accurate models for hemodynamic parameter computation. The dataset is stored in HDF5 format, facilitating the storage of complex data structures and easy access to various physiological parameters. It is ideal for developing machine learning models to enhance the detection of characteristic points in ICG signals. For instance, machine learning models can be used to detect characteristic points for improved left ventricular ejection time (LVET) estimation or mapping the ICG signal to the different mechanical events in the cardiac cycle using the ECHO as a reference. Detailed metadata and usage notes are included to support data utilization across different software environments. Ethical approval was obtained from the University of Coimbra Hospital's ethics committee, and informed consent was provided by all participants.

Update Frequency

Not updated

License

Open Data Commons Attribution License v1.0

Documentation

https://doi.org/10.13026/z865-eb23

Managed By

PhysioNet

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Contact

https://physionet.org/about/#contact_us

How to Cite

HeartCycle: A comprehensive dataset of synchronized impedance cardiography and echocardiography for hemodynamic predictions was accessed on DATE from https://registry.opendata.aws/heartcycle.

Resources on AWS

  • Description
    https://doi.org/10.13026/z865-eb23
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::physionet-open/heartcycle/
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://physionet-open/heartcycle/

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