Combined measurement of ECG, Breathing and Seismocardiograms

Data Description

The purpose of the database was twofold:

1. To check if slight errors in the detection of the RR time series when measuring it using two different leads are influenced by breathing.
2. To compare the RR time series obtained from the ECG and its surrogate measure obtained from the seismocardiogram or SCG (and to optimize beat detectors for SCG).

To construct the database, 20 presumed healthy volunteers were measured. Information of the subjects is summarized in the info.txt file. During the measurement, the subjects were asked to be very still in supine position on a comfortable conventional single bed and awake. After attachment of sensors, we recorded the basal state of the subjects by measuring during 5 minutes (records b001 to b020) After that, the subjects started to listening classical music during approximately 50 minutes (records m001 to m020) Finally, we monitored all subjects 5 minutes more after the music ended (records p001 to p020).

Data was acquired using a Biopac MP36 data acquisition system (Santa Barbara, CA, USA). Channels 1 and 2 of the system were devoted to measure conventional ECG (leads I and II respectively) with a bandwidth between 0.05 Hz and 150 Hz, channel 3 was employed to measure the respiratory signal obtained from a thoracic piezoresistive band (SS5LB sensor by Biopac, Santa Barbara, CA, USA) with a bandwidth of 0.05 Hz to 10 Hzand channel 4 was devoted to acquire the SCG using a triaxial accelerometer (LIS344ALH, ST Microelectronics) and a bandwidth between 0.5 Hz and 100 Hz. For the ECG measurement we used monitoring electrodes with foam tape and sticky gel (3M Red Dot 2560). Each channel was sampled at 5 kHz.

Note on detected incidences:

• Subject 4 shows some ectopy, especially on the m004 record
• Std II lead ECG quality on m018 record is low because of a bad electrode contact starting around minute 34 and ending around minute 38.

Contributors

This database was developed by Miguel Angel Garcia Gonzalez and Ariadna Argelagos Palou from the Electronic and Biomedical Instrumentation (IEB) research group of the Electronic Engineering (DEE) Department of the Universitat Politecnica de Catalunya (UPC).