torch_ecg.databases.WFDB_Beat_Annotations

torch_ecg.databases.WFDB_Beat_Annotations = {'/': 'Paced beat', '?': 'Beat not classified during learning', 'A': 'Atrial premature beat', 'B': 'Bundle branch block beat (unspecified)', 'E': 'Ventricular escape beat', 'F': 'Fusion of ventricular and normal beat', 'J': 'Nodal (junctional) premature beat', 'L': 'Left bundle branch block beat', 'N': 'Normal beat', 'Q': 'Unclassifiable beat', 'R': 'Right bundle branch block beat', 'S': 'Supraventricular premature or ectopic beat (atrial or nodal)', 'V': 'Premature ventricular contraction', 'a': 'Aberrated atrial premature beat', 'e': 'Atrial escape beat', 'f': 'Fusion of paced and normal beat', 'j': 'Nodal (junctional) escape beat', 'n': 'Supraventricular escape beat (atrial or nodal)', 'r': 'R-on-T premature ventricular contraction'}

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object’s

(key, value) pairs

dict(iterable) -> new dictionary initialized as if via:

d = {} for k, v in iterable:

d[k] = v

dict(**kwargs) -> new dictionary initialized with the name=value pairs

in the keyword argument list. For example: dict(one=1, two=2)