NeuroKit2 Analysis on Animal ECG Data

[luneo-1]

my subjects are mice, and their resting heart rates significantly differ from humans, typically ranging between 500–700 beats per minute (bpm) – a stark contrast to the human resting heart rate of 60–70 bpm. To accommodate this difference,

Firstly, nk.ecg_simulate cannot generate data for heart rates exceeding 200 bpm, which is applicable for humans. However, this does not work for my animal experiments.

import neurokit2 as nk

ecg = nk.ecg_simulate(duration=15, sampling_rate=1000, heart_rate=750)

signals, info = nk.ecg_process(ecg, sampling_rate=1000)

nk.ecg_plot(signals, info)

Subsequently, I used my own data, and I was able to visualize it in the charts.

Screenshots

System Specifications

import neurokit2 as nk
nk.version()

• OS: Darwin ( 64bit)

• Python: 3.9.9

• NeuroKit2: 0.2.7

• NumPy: 1.21.5

• Pandas: 1.4.0

• SciPy: 1.8.1

• sklearn: 1.1.1

• matplotlib: 3.5.2