gravity-ins / medical

PCG, BCG raw data

BCG data base, PCG database

Download the BCG_PCG.zip file: This file contains raw data for both phonocardiogram (PCG) and ballistocardiogram (BCG) signals stored in NumPy format. You can find the BCG_PCG.zip file in the repository. Unzip the file: Once downloaded, unzip the BCG_PCG.zip file on your system. This will extract the individual signal files.

Understanding the Signal Files:

The extracted files will follow a naming convention that indicates the type of signal (S1:PCG or S2:BCG), activity state (Act, Post, Rest), and pressure level (e.g., 134 in the following example).
Here's a breakdown:

Filename format: [ID]Act/Post/Rest[Pressure]_S1/S2.npy
ID: This is a reference number specific to the data collection.
Act/Post/Rest: This indicates the activity state of the subject during the recording: Act (active), Post (post-activity), or Rest (resting).
Pressure: This represents the pressure applied during the recording (e.g., 134 is average blood pressure).
Signal type S1:PCG or S2:BCG.
.npy: This extension signifies that the file stores the data in the NumPy format.

Example:

1_Act_134.0_S1.npy: This file contains the ID=1, PCG signal (S1) recorded from participant during an active state with a pressure of 134.
1_Act_134.0_S2.npy: This file contains the ID=1, BCG signal from the same participant, recorded under the same conditions.

Note:

Please, consult the data documentation in [1] about adquisition details.

This is example code in python to see the signals:

import numpy as np
import matplotlib.pyplot as plt
PCC=np.load('1_Act_134.0_S1.npy')
print(PCC.shape)
plt.subplot(2,1,1)
plt.plot(PCC[0:1500])

BCC=np.load('1_Act_134.0_S2.npy')
print(BCC.shape)
plt.subplot(2,1,2)
plt.plot(BCC[0:1500])

plt.show()

If you want to use the data, please cite

[1] RafaelGonzalez‑Landaeta, Brenda Ramirez & Jose Mejia. Estimation of systolic blood pressure by Random Forest using heart sounds and a ballistocardiogram. Scientifc Reports, (2022)

[2] Rafael Gonzalez‑Landaeta & Jose Mejia, "M.A.Y.A.S Project: Creation of a database of physiological signals. Estimation of changes in blood pressure.", UACJ Institutional Repository, 2022

Data Disclaimer
This database provides access to a collection of data for research and analysis purposes. The authors make no warranties or representations of any kind, express or implied, about the accuracy, completeness, or fitness for any particular purpose of the data.