ECG-ID Database 1.0.0

File: <base>/README (1,267 bytes)

Database name: Biometric human identification ECG database  (ecgiddb)

Tatiana Lugovaya
for master's thesis "Biometric human identification based on ECG" in 2005
Department of Applied Mathematics and Computer Science
Electrotechnical University "LETI", Saint-Petersburg, Russian Federation

Database contains 310 ECG recordings, obtained from 90 persons:
- each recording contain 20-second I-lead ECG signal;
- 10 beats in every recording are annotated (unaudited R- and T-wave peaks annotations from an automated detector);
- signals were digitized at 500 Hz with 12-bit resolution;
- number of records for each person vary from 2 (collected during one day) to 20 (collected periodically during 6 months);
- each recording is supplied with an information containing age, gender and record date;
- records were obtained from volunteers among students, colleagues and friends (44 men and 46 women aged from 13 to 75 years);

Collected raw data is rather noisy and contain both high and low frequency noise components. 
Each recording combine both raw and filtered signals:
	- Column 0 "ECG I": 		raw signal;
	- Column 1 "ECG I filtered": 	filtered signal;

Contact information: 
Tatiana Lugovaya