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Fantasia Database

Fantasia Database

Scene:

Music Analysis

Data Type:

Audio,Classification
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physionet

PhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below.

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    Data Structure ?

    *数据结构实际以真实数据为准

    All subjects remained in a resting state in sinus rhythm while watching the movie Fantasia (Disney, 1940) to help maintain wakefulness. The continuous ECG, respiration, and (where available) blood pressure signals were digitized at 250 Hz. Each heartbeat was annotated using an automated arrhythmia detection algorithm, and each beat annotation was verified by visual inspection.

    Records f1y01, f1y02, ... f1y10 and f2y01, f2y02, ... f2y10) were obtained from the young cohort, and records f1o01, f1o02, ... f1o10 and f2o01, f2o02, ... f2o10) were obtained from the elderly cohort. Each group of subjects includes equal numbers of men and women. Each record includes ECG (with beat annotations) and respiration, and half of those in each group (the f2* records) include a blood pressure waveform, as noted above.

    The beat annotations for a subset of these recordings were previously available in a different format; these are still available here.


    Abstract

    Twenty young (21 - 34 years old) and twenty elderly (68 - 85 years old) rigorously-screened healthy subjects underwent 120 minutes of continuous supine resting while continuous electrocardiographic (ECG), and respiration signals were collected; in half of each group, the recordings also include an uncalibrated continuous non-invasive blood pressure signal. Each subgroup of subjects includes equal numbers of men and women.


    When using this resource, please cite the original publication:

    Iyengar N, Peng C-K, Morin R, Goldberger AL, Lipsitz LA. Age-related alterations in the fractal scaling of cardiac interbeat interval dynamics. Am J Physiol 1996;271:1078-1084.

    Please include the standard citation for PhysioNet: (show more options)
    Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.


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