How to handle large ECG dataset?

[BaiJonathan]

We get the 24 hours raw ECG data for the devices(250Hz). I want to analyze those data and produce HRV analysis.
my code snippet like this:
"
signal = pd.read_csv(filePath)
processed_data, info = nk.bio_process(signal["ECG"], sampling_rate=250)
results = nk.bio_analyze(processed_data, sampling_rate=frequency)
"
NO response.

but maybe it's too big. I can't get the result even after 30 mins.
so any recommendations ? how to handle large dataset?
Thanks in advance.

[BaiJonathan]

https://akt.obs.cn-east-3.myhuaweicloud.com/1699942534081277952.csv.zip

the dataset.

[paudel54]

Create 1-hour chunks and run for 24 loops. Append the data to the empty list or some database