Lead Derivation¶
Pure numpy — no scipy required. Validates sample rate and length match.
Derive Lead III from Leads I and II (Einthoven’s law) |
|
Derive augmented limb leads aVR, aVL, aVF |
|
Assemble a full 12-lead ECG |
|
Find a lead by label (case-insensitive) |
- ecgdatakit.processing.derive_lead_iii(lead_i, lead_ii, *, fs=None)[source]¶
Derive Lead III from Leads I and II (Einthoven’s law: III = II - I).
- ecgdatakit.processing.derive_augmented(lead_i, lead_ii, *, fs=None)[source]¶
Derive augmented limb leads aVR, aVL, aVF from Leads I and II.
- ecgdatakit.processing.derive_standard_12(lead_i, lead_ii, v1, v2, v3, v4, v5, v6, *, fs=None)[source]¶
Assemble a full 12-lead ECG, deriving III, aVR, aVL, aVF.
- Parameters:
lead_ii (
Lead|GenericAlias[double]) – Limb leads I and II.v1..v6 (
Lead | NDArray[np.float64]) – Precordial leads.fs (
int|None) – Sample rate in Hz. Required when passing numpy arrays.v1 (Lead | NDArray[float64])
v2 (Lead | NDArray[float64])
v3 (Lead | NDArray[float64])
v4 (Lead | NDArray[float64])
v5 (Lead | NDArray[float64])
v6 (Lead | NDArray[float64])
- Returns:
12 leads in standard order: I, II, III, aVR, aVL, aVF, V1–V6.
- Return type: