openvital 0.2.1

Open-source Python library for biosignal analysis (ECG, ABP, PPG, capnography, EEG, NIRS, ...) — successor to pyvital, expanding beyond ECG.

openvital

Open-source Python library for biosignal analysis. Provides signal processing utilities and clinical algorithm implementations for ECG, arterial blood pressure (ABP), photoplethysmography (PPG), capnography (CO₂), EEG, NIRS, and related vital-signs waveforms.

openvital is the successor to pyvital — same authors, broader scope. Where pyvital focused on ECG, openvital expands to cover the full multi-signal panel of a clinical patient monitor.

QRS detection delegates to openecg (gradient-thresholded detector validated at micro-F1 = 0.994 on MIT-BIH Arrhythmia DB).

Installation

pip install openvital

Migrating from pyvital

The package and module name changed from pyvital to openvital; the API is otherwise unchanged.

# before
import pyvital
r_peaks = pyvital.detect_qrs(ecg, srate=500)

# after
import openvital
r_peaks = openvital.detect_qrs(ecg, srate=500)

Core Functions

import openvital

# Interpolate NaN values
data = openvital.interp_undefined(raw_data)

# QRS detection (gradient-thresholded, via openecg)
r_peaks = openvital.detect_qrs(ecg_data, srate=500)

# Blood pressure / pleth peak detection
minlist, maxlist = openvital.detect_peaks(abp_data, srate=100)

# Bandpass filter
filtered = openvital.band_pass(data, srate=500, fl=5, fh=15)

# Resampling
resampled = openvital.resample_hz(data, srate_from=500, srate_to=100)

Filters

Each filter module implements a run(inp, opt, cfg) function and a cfg dict describing its inputs, outputs, and parameters.

Module	Description
abp_hpi	Hypotension Prediction Index from arterial blood pressure
abp_ppv	Pulse Pressure Variation from arterial blood pressure
ecg_annotator	ECG waveform annotation using wavelets
ecg_beat_noise_detector	Beat/noise classification using deep learning
ecg_classifier	ECG rhythm and beat classification
ecg_hrv	Heart Rate Variability analysis
ecg_mtwa	Microvolt T-Wave Alternans detection
ecg_qrs_detector	R-peak detection (delegates to openecg.detect_qrs)
eeg_fft	EEG frequency analysis (band powers, SEF, MF)
nirs_cox	Cerebral oximetry autoregulation index (COx)
pkpd_3comp	Pharmacokinetic 3-compartment model
pleth_dpop	Delta POP from plethysmography
pleth_ptt	Pulse Transit Time
pleth_pvi	Pleth Variability Index
pleth_spi	Surgical Pleth Index
resp_compliance	Respiratory compliance
sv_dlapco	Stroke volume estimation (DLAPCO)

Filter Server

openvital includes a built-in HTTP server (Sanic) that exposes filters as REST endpoints:

python -m openvital [filter_folder] [port]

• GET / returns the list of available filters and their configurations.
• POST /<module_name> runs a filter with gzip-compressed JSON input.

License

MIT