Version 1 - July 2017
When referencing this material, please cite:
@article{UNICAPROP, author = {M. Samieinasab and R. Sameni}, title = {Fetal phonocardiogram extraction using single channel blind source separation}, conference = {2015 23rd Iranian Conference on Electrical Engineering}, pages = {78-83}, year = {2015} }
@article{0967-3334-37-12-2181, author = {Chengyu Liu and David Springer and Qiao Li and Benjamin Moody and Ricardo Abad Juan and Francisco J Chorro and Francisco Castells and José Millet Roig and Ikaro Silva and Alistair E W Johnson and Zeeshan Syed and Samuel E Schmidt and Chrysa D Papadaniil and Leontios Hadjileontiadis and Hosein Naseri and Ali Moukadem and Alain Dieterlen and Christian Brandt and Hong Tang and Maryam Samieinasab and Mohammad Reza Samieinasab and Reza Sameni and Roger G Mark and Gari D Clifford}, title = {An open access database for the evaluation of heart sound algorithms}, journal = {Physiological Measurement}, volume = {37}, number = {12}, pages = {2181-2213}, url = {http://stacks.iop.org/0967-3334/37/i=12/a=2181}, year = {2016}, abstract = {In the past few decades, analysis of heart sound signals (i.e. the phonocardiogram or PCG), especially for automated heart sound segmentation and classification, has been widely studied and has been reported to have the potential value to detect pathology accurately in clinical applications. However, comparative analyses of algorithms in the literature have been hindered by the lack of high-quality, rigorously validated, and standardized open databases of heart sound recordings. This paper describes a public heart sound database, assembled for an international competition, the PhysioNet/Computing in Cardiology (CinC) Challenge 2016. The archive comprises nine different heart sound databases sourced from multiple research groups around the world. It includes 2435 heart sound recordings in total collected from 1297 healthy subjects and patients with a variety of conditions, including heart valve disease and coronary artery disease. The recordings were collected from a variety of clinical or nonclinical (such as in-home visits) environments and equipment. The length of recording varied from several seconds to several minutes. This article reports detailed information about the subjects/patients including demographics (number, age, gender), recordings (number, location, state and time length), associated synchronously recorded signals, sampling frequency and sensor type used. We also provide a brief summary of the commonly used heart sound segmentation and classification methods, including open source code provided concurrently for the Challenge. A description of the PhysioNet/CinC Challenge 2016, including the main aims, the training and test sets, the hand corrected annotations for different heart sound states, the scoring mechanism, and associated open source code are provided. In addition, several potential benefits from the public heart sound database are discussed.}, }
Please also include the standard citation for PhysioNet:
@article{PhysioNet, author = {Goldberger, Ary L. and Amaral, Luis A. N. and Glass, Leon and Hausdorff, Jeffrey M. and Ivanov, Plamen Ch. and Mark, Roger G. and Mietus, Joseph E. and Moody, George B. and Peng, Chung-Kang and Stanley, H. Eugene}, title = {{PhysioBank}, {PhysioToolkit}, and {PhysioNet}: Components of a New Research Resource for Complex Physiologic Signals}, journal = {Circulation}, publisher = {American Heart Association, Inc.}, volume = {101}, number = {23}, year = {2000}, month = {June}, pages = {e215--e220}, doi = {10.1161/01.CIR.101.23.e215}, issn = {0009-7322}, url = {http://circ.ahajournals.org/content/101/23/e215} }
Introduction
The Shiraz University (SU) fetal heart sounds database (SUFHSDB) contains fetal and maternal PCG recordings from 109 pregnant women.
Data Collection
This database was constructed using recordings made from 109 pregnant women (mothers aged from 16 to 47 years, mean±SD: 29.3±5.8 years with BMI from 19.5 to 38.9 mean±SD: 29.2±4.0), with a digital JABES Electronic stethoscope (GS Technology Co. Ltd., South Korea) placed on the lower maternal abdomen as described in (Samieinasab and Sameni, 2015).
In the case of twins (seven cases) the data were collected twice according to the locations advised by the expert gynecologist. Audacity® cross-platform audio software was used for recording and editing the signals on a PC. In total, 99 subjects had one signal recorded, three subjects had two and seven cases of twins were recorded individually, resulting in 119 total recordings. The average duration of each record is about 90 seconds. The sampling rate was generally 16,000 Hz with 16-bit quantization and a few recordings at 44,100 Hz. The data was recorded in wide-band mode of the digital stethoscope, with a frequency response of 20 Hz to 1 kHz.
In most cases (91 subjects), the heart sounds of the mothers were also recorded before each fetal PCG recording session. As a result, a total number of 92 maternal heart sounds data (90 subjects had one heart sound signal but one had two signals recorded) are also available in the dataset.
Files
The record names are in the form fSS
or mSS
where f stands for fetal recording, m stands for maternal recording, and SS is the subject number. There are also WFDB headers provided to read the data using WFDB format.
Contributors
The SUFHSDB was provided by Dr. Reza Sameni from Shiraz University. The datasets were recorded as part of the Master's thesis of Ms. Maryam Samieinasab at Shiraz University.
Acknowledgements
The authors would like to thank Dr. M. Hosseiniasl and Ms. Nasihatkon from Shiraz Hafez Hospital, for their valuable assistance during fetal PCG recordings.
Apache/2.4.25 (Debian) mod_auth_pgsql/2.0.3 mod_auth_tkt/2.1.0 OpenSSL/1.0.2u Server at archive.physionet.org Port 443Name Last modified Size Description
Parent Directory -
DOI 2018-08-29 15:43 19
FetalPCGSpreadsheet.xls 2017-07-13 11:18 28K
MD5SUMS 2018-08-30 16:37 18K
SHA1SUMS 2018-08-30 16:37 21K
SHA256SUMS 2018-08-30 16:37 31K
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m29.hea 2017-07-13 11:18 94 header file
m30.hea 2017-07-13 11:18 94 header file
m31.hea 2017-07-13 11:18 94 header file
m32.hea 2017-07-13 11:18 94 header file
m33.hea 2017-07-13 11:18 94 header file
m35.hea 2017-07-13 11:18 94 header file
m36.hea 2017-07-13 11:18 94 header file
m37.hea 2017-07-13 11:18 94 header file
m38.hea 2017-07-13 11:18 94 header file
m39.hea 2017-07-13 11:18 94 header file
m40.hea 2017-07-13 11:18 94 header file
m41.hea 2017-07-13 11:18 94 header file
m42.hea 2017-07-13 11:18 94 header file
m43.hea 2017-07-13 11:18 94 header file
m44.hea 2017-07-13 11:18 94 header file
m45.hea 2017-07-13 11:18 94 header file
m46.hea 2017-07-13 11:18 94 header file
m47.hea 2017-07-13 11:18 94 header file
m48.hea 2017-07-13 11:18 94 header file
m49.hea 2017-07-13 11:18 94 header file
m50.hea 2017-07-13 11:18 94 header file
m51.hea 2017-07-13 11:18 94 header file
m52.hea 2017-07-13 11:18 94 header file
m53.hea 2017-07-13 11:18 94 header file
m54.hea 2017-07-13 11:18 94 header file
m55.hea 2017-07-13 11:18 94 header file
m56.hea 2017-07-13 11:18 94 header file
m57.hea 2017-07-13 11:18 94 header file
m58.hea 2017-07-13 11:18 94 header file
m59.hea 2017-07-13 11:18 94 header file
m60.hea 2017-07-13 11:18 94 header file
m61.hea 2017-07-13 11:18 94 header file
m62.hea 2017-07-13 11:18 94 header file
m63.hea 2017-07-13 11:18 93 header file
m64.hea 2017-07-13 11:18 93 header file
m65.hea 2017-07-13 11:18 94 header file
m66.hea 2017-07-13 11:18 94 header file
m67.hea 2017-07-13 11:18 94 header file
m68.hea 2017-07-13 11:18 94 header file
m69.hea 2017-07-13 11:18 94 header file
m70.hea 2017-07-13 11:18 94 header file
m71.hea 2017-07-13 11:18 94 header file
m72.hea 2017-07-13 11:18 94 header file
m73.hea 2017-07-13 11:18 94 header file
m74.hea 2017-07-13 11:18 94 header file
m75.hea 2017-07-13 11:18 94 header file
m76.hea 2017-07-13 11:18 94 header file
m77.hea 2017-07-13 11:18 94 header file
m88.hea 2017-07-13 11:18 94 header file
m89.hea 2017-07-13 11:18 94 header file
m90.hea 2017-07-13 11:18 94 header file
m91.hea 2017-07-13 11:18 94 header file
m92.hea 2017-07-13 11:18 94 header file
m93.hea 2017-07-13 11:18 94 header file
m94.hea 2017-07-13 11:18 94 header file
m95.hea 2017-07-13 11:18 94 header file
m96.hea 2017-07-13 11:18 94 header file
m97.hea 2017-07-13 11:18 94 header file
m98.hea 2017-07-13 11:18 94 header file
m99.hea 2017-07-13 11:18 94 header file
RECORDS 2017-07-13 11:18 893 list of record names