Omkar2118/datasets huggingface dataset:
MIMIC PERform Testing Dataset

The MIMIC PERform Testing dataset contains the following physiological signals recorded from 200 critically-ill patients during routine clinical care:

- electrocardiogram (ECG)
- photoplethysmogram (PPG)
- impedance pneumography (imp), also known as respiratory (resp)
- (in some cases) arterial blood pressure (abp)

Each signal is sampled at 125 Hz. The dataset also contains some fixed parameters for each subject (such as whether the subject was an adult or neonate).

The dataset is available in CSV, Matlab, and WaveForm Database formats [here](https://doi.org/10.5281/zenodo.6807402).

Further details of the datasets are provided in the documentation accompanying the [ppg-beats project documentation](https://ppg-beats.readthedocs.io/en/latest/).

The dataset was extracted from the [MIMIC III Waveform Database](https://physionet.org/content/mimic3wdb/1.0/).

Introducing paper: Detecting beats in the photoplethysmogram: benchmarking open-source algorithms