Combined measurement of ECG, Breathing and Seismocardiograms DataBase (CEBSDB)
Executive Summary
This study introduces the CEBSDB dataset, which combines ECG, respiration, and seismocardiogram (SCG) signals from 20 healthy volunteers under controlled conditions. The dataset aims to investigate the influence of breathing on RR series errors and compare RR series derived from ECG and SCG signals, with data collected using a Biopac MP36 system and triaxial accelerometers. The findings are expected to optimize SCG-based beat detectors and advance multimodal cardiomechanical monitoring methodologies.
Answer Machine Insights
Q: What is the primary purpose of the CEBSDB dataset?
To investigate the influence of breathing on RR series errors and compare RR series derived from ECG and SCG signals.
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).
Q: What equipment was used for data acquisition?
A Biopac MP36 system with triaxial accelerometers and piezoresistive respiratory bands.
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)... channel 4 was devoted to acquire the SCG using a triaxial accelerometer (LIS344ALH, ST Microelectronics).
Key Results
The dataset includes 60 records from 20 healthy volunteers, each containing ECG, respiration, and SCG signals.
Data acquisition was performed at a high sampling rate of 5 kHz using Biopac MP36 and triaxial accelerometers.
Clinical Snapshot
Evidence Rating
Relevance
medium Priority