St. Petersburg Institute of Cardiological Technics 12-lead Arrhythmia (75 records)

Seventy-five half-hour recordings extracted from 32 Holter records from patients undergoing tests for coronary artery disease, with reference annotation files containing over 175,000 beat annotations in all. Each record contains 12 standard leads, each sampled at 257 Hz, with gains varying from 250 to 1100 analog-to-digital converter units per millivolt. The original records were collected from 17 men and 15 women, aged 18-80; mean age: 58. None of the patients had pacemakers; most had ventricular ectopic beats. In selecting records to be included in the database, preference was given to subjects with ECGs consistent with ischemia, coronary artery disease, conduction abnormalities, and arrhythmias. more...Observations of those selected included:

Acute MI 2
Transient ischemic attack (angina pectoris) 5
Prior MI 4
Coronary artery disease with hypertension 7 (4 with ECGs consistent with left ventricular hypertrophy)
Sinus node dysfunction 1
Supraventricular ectopy 18
Atrial fibrillation or SVTA 3 (2 with paroxysmal AF)
AV block 1
Bundle branch block 3

These diagnoses were confirmed by enzyme assays, coronary angiography, electrophysiological study, and pressure monitoring where necessary.

The annotations were produced by an automatic algorithm and then corrected manually, following the standard PhysioBank beat annotation definitions. The algorithm generally places beat annotations in the middle of the QRS complex (as determined from all 12 leads); the locations have not been manually corrected, however, and there may be occasional misaligned annotations as a result.

This database was contributed by the St. Petersburg Institute of Cardiological Technics (Incart), St. Petersburg, Russia. The database was initially developed by Viktor Tihonenko and Alexander Khaustov. Additional verification was done by Sergey Ivanov and Alexei Rivin (Incart).

For more information:

  2. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 [Circulation Electronic Pages;]; 2000 (June 13).

This database has 75 records