peaks

Machine-readable model

• find_peaksfunctionFind R peaks in ECG signal using QRS gradient method.
• filter_peaksfunctionFilter out peaks with RR intervals outside of normal range.
• compute_rr_intervalsfunctionCompute RR intervals from R peaks.
• filter_rr_intervalsfunctionFilter out peaks with RR intervals outside of normal range.

function

find_peaks

Python

Find R peaks in ECG signal using QRS gradient method.

physiokit/ecg/peaks.py:7

find_peaks(
    data: npt.NDArray,
    sample_rate: float = 1000,
    qrs_window: float = 0.1,
    avg_window: float = 1.0,
    qrs_prom_weight: float = 1.5,
    qrs_min_len_weight: float = 0.4,
    qrs_min_delay: float = 0.3,
) -> npt.NDArray

Find R peaks in ECG signal using QRS gradient method.

Parameters

Parameters of find_peaks

Name	Type	Default	Description
data	array	Required	ECG signal.
sample_rate	float	1000	Sampling rate in Hz. Defaults to 1000 Hz.
qrs_window	float	0.1	Window size in seconds to compute QRS gradient. Defaults to 0.1 s.
avg_window	float	1.0	Window size in seconds to compute average gradient. Defaults to 1.0 s.
qrs_prom_weight	float	1.5	Weight to compute minimum QRS height. Defaults to 1.5.
qrs_min_len_weight	float	0.4	Weight to compute minimum QRS length. Defaults to 0.4.
qrs_min_delay	float	0.3	Minimum delay between QRS complexes. Defaults to 0.3 s.

Returns

Returns of find_peaks

Type	Description
npt.NDArray	npt.NDArray: R peaks.

function

filter_peaks

Python

Filter out peaks with RR intervals outside of normal range.

physiokit/ecg/peaks.py:84

filter_peaks(
    peaks: npt.NDArray,
    sample_rate: float = 1000,
    min_rr: float = 0.3,
    max_rr: float = 2.0,
    min_delta: float | None = 0.3,
) -> npt.NDArray

Filter out peaks with RR intervals outside of normal range.

Parameters

Parameters of filter_peaks

Name	Type	Default	Description
peaks	array	Required	R peaks.
sample_rate	float	1000	Sampling rate in Hz. Defaults to 1000 Hz.
min_rr	float	0.3	Minimum RR interval in seconds. Defaults to 0.3 s.
max_rr	float	2.0	Maximum RR interval in seconds. Defaults to 2.0 s.
min_delta	float	0.3	Minimum RR interval delta. Defaults to 0.3.

Returns

Returns of filter_peaks

Type	Description
npt.NDArray	npt.NDArray: Filtered peaks.

function

compute_rr_intervals

Python

Compute RR intervals from R peaks.

physiokit/ecg/peaks.py:118

compute_rr_intervals(peaks: npt.NDArray) -> npt.NDArray

Compute RR intervals from R peaks.

Parameters

Parameters of compute_rr_intervals

Name	Type	Default	Description
peaks	array	Required	R peaks.

Returns

Returns of compute_rr_intervals

Type	Description
npt.NDArray	npt.NDArray: RR intervals.

function

filter_rr_intervals

Python

Filter out peaks with RR intervals outside of normal range.

physiokit/ecg/peaks.py:137

filter_rr_intervals(
    rr_ints: npt.NDArray,
    sample_rate: float = 1000,
    min_rr: float = 0.3,
    max_rr: float = 2.0,
    min_delta: float | None = 0.3,
) -> npt.NDArray

Filter out peaks with RR intervals outside of normal range.

Parameters

Parameters of filter_rr_intervals

Name	Type	Default	Description
rr_ints	array	Required	RR intervals.
sample_rate	float	1000	Sampling rate in Hz. Defaults to 1000 Hz.
min_rr	float	0.3	Minimum RR interval in seconds. Defaults to 0.3 s.
max_rr	float	2.0	Maximum RR interval in seconds. Defaults to 2.0 s.
min_delta	float	0.3	Minimum RR interval delta. Defaults to 0.3.

Returns

Returns of filter_rr_intervals

Type	Description
npt.NDArray	npt.NDArray: RR interval mask.